JackHua6

gh-issues

AI Agentv1.0.0
By JackHua6Updated 2026-05-18@clawhub_jackhua6/gh-issues
Task AutomationMulti-Agent Collaboration#Cron#GitHub

According to AlphaMoat, as of 2026-10, gh-issues has 8,277 downloads and 1 stars — ranked by downloads #3,363 among 10,914 AI skills in this ranking, and #450 of 1,632 in AI Agent.

The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.

Downloads
8.3K
Stars
1
Overall download rank
#3,363
Top 31% overall · Top 28% in AI Agent
PlatformDownloadsStarsComments
ClawHub ↗7.3K1-
SkillHub ↗8.3K1—

Platforms count differently and update at different times.

What this skill does

The flow is strictly 6 phases (parse arguments -> fetch issues -> present & confirm -> pre-flight checks -> spawn sub-agents -> PR review handler), with no gh CLI dependency — everything runs on curl plus the GitHub REST API with GH_TOKEN as a Bearer token. Key flags: --label, --limit (default 10), --milestone, --assignee (@me supported), --state (default open), --fork (push branches to your fork and open PRs against the source repo), --watch with --interval (default 5-minute polling), --dry-run, --yes to skip confirmation, --reviews-only, --cron for unattended mode (forces --yes, exits after spawning), --model for sub-agents (e.g. glm-5), and --notify-channel for a Telegram summary. Sub-agents rate confidence on a 1-10 scale and stop with a report below 7, make minimal fixes on fix/issue-{N} branches, run up to 8 concurrently with a 60-minute timeout (runTimeoutSeconds: 3600), and commit, push, and open PRs through the REST API; a claims file expiring after 2 hours plus existing-PR and existing-branch checks prevent duplicate processing. The review phase aggregates reviews, inline comments, issue comments, and embedded PR-body reviews (such as Greptile markers), filters out the bot's own comments, and spawns up to 8 review-fix agents for actionable feedback like CHANGES_REQUESTED. The token exposure through logs and token-bearing remotes and unattended repository changes under --yes/--cron, recommending narrowly scoped tokens with external approval; the skill is MIT-0 licensed.

Profile published 2026-10-29

What you can do with it

  • Batch auto-fix issues labeled bug in a repository
  • Let sub-agents open PRs and follow up on review comments
  • Keep watching new issues and reviews in watch mode

When to use it

  • When sub-agents should orchestrate GitHub issue fixes, PRs, and review responses

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Process this repository's open issues, one PR each
Handle review comments only: --reviews-only
Run a batch of issues unattended in cron mode

Monthly Trend

Downloads8.3K
1.9K5.3K8.8K2026-03 · Downloads 2.4K2026-05 · Downloads 5.6K2026-07 · Downloads 6.7K2026-08 · Downloads 7.0K2026-09 · Downloads 7.2K2026-10 · Downloads 8.3K26-0326-0926-10
Stars1
0112026-03 · Stars -2026-05 · Stars 12026-07 · Stars 12026-08 · Stars 12026-09 · Stars 12026-10 · Stars 126-0326-0926-10

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change. Other skills share this name; figures from before the change are attributed to this one, which currently has the most downloads.

MonthDownloadsMoMStars
2026-108.3K—1
2026-097.2K—1
2026-087.0K+4.2%1
2026-076.7K—1
2026-055.6K—1
2026-032.4K—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

34 KB · ClawHub v1.0.0
---
name: gh-issues
description: "Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5] [--notify-channel -1002381931352]"
user-invocable: true
metadata:
  {
    "openclaw":
      {
        "requires": { "bins": ["curl", "git", "gh"] },
        "primaryEnv": "GH_TOKEN",
Show all (882 lines)
        "install":
          [
            {
              "id": "brew",
              "kind": "brew",
              "formula": "gh",
              "bins": ["gh"],
              "label": "Install GitHub CLI (brew)",
            },
          ],
      },
  }
---

# gh-issues — Auto-fix GitHub Issues with Parallel Sub-agents

You are an orchestrator. Follow these 6 phases exactly. Do not skip phases.

IMPORTANT — No `gh` CLI dependency. This skill uses curl + the GitHub REST API exclusively. The GH_TOKEN env var is already injected by OpenClaw. Pass it as a Bearer token in all API calls:

```
curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" ...
```

---

## Phase 1 — Parse Arguments

Parse the arguments string provided after /gh-issues.

Positional:

- owner/repo — optional. This is the source repo to fetch issues from. If omitted, detect from the current git remote:
  `git remote get-url origin`
  Extract owner/repo from the URL (handles both HTTPS and SSH formats).
  - HTTPS: https://github.com/owner/repo.git → owner/repo
  - SSH: [email protected]:owner/repo.git → owner/repo
    If not in a git repo or no remote found, stop with an error asking the user to specify owner/repo.

Flags (all optional):
| Flag | Default | Description |
|------|---------|-------------|
| --label | _(none)_ | Filter by label (e.g. bug, `enhancement`) |
| --limit | 10 | Max issues to fetch per poll |
| --milestone | _(none)_ | Filter by milestone title |
| --assignee | _(none)_ | Filter by assignee (`@me` for self) |
| --state | open | Issue state: open, closed, all |
| --fork | _(none)_ | Your fork (`user/repo`) to push branches and open PRs from. Issues are fetched from the source repo; code is pushed to the fork; PRs are opened from the fork to the source repo. |
| --watch | false | Keep polling for new issues and PR reviews after each batch |
| --interval | 5 | Minutes between polls (only with `--watch`) |
| --dry-run | false | Fetch and display only — no sub-agents |
| --yes | false | Skip confirmation and auto-process all filtered issues |
| --reviews-only | false | Skip issue processing (Phases 2-5). Only run Phase 6 — check open PRs for review comments and address them. |
| --cron | false | Cron-safe mode: fetch issues and spawn sub-agents, exit without waiting for results. |
| --model | _(none)_ | Model to use for sub-agents (e.g. `glm-5`, `zai/glm-5`). If not specified, uses the agent's default model. |
| --notify-channel | _(none)_ | Telegram channel ID to send final PR summary to (e.g. -1002381931352). Only the final result with PR links is sent, not status updates. |

Store parsed values for use in subsequent phases.

Derived values:

- SOURCE_REPO = the positional owner/repo (where issues live)
- PUSH_REPO = --fork value if provided, otherwise same as SOURCE_REPO
- FORK_MODE = true if --fork was provided, false otherwise

**If `--reviews-only` is set:** Skip directly to Phase 6. Run token resolution (from Phase 2) first, then jump to Phase 6.

**If `--cron` is set:**

- Force `--yes` (skip confirmation)
- If `--reviews-only` is also set, run token resolution then jump to Phase 6 (cron review mode)
- Otherwise, proceed normally through Phases 2-5 with cron-mode behavior active

---

## Phase 2 — Fetch Issues

**Token Resolution:**
First, ensure GH_TOKEN is available. Check environment:

```
echo $GH_TOKEN
```

If empty, read from config:

```
cat ~/.openclaw/openclaw.json | jq -r '.skills.entries["gh-issues"].apiKey // empty'
```

If still empty, check `/data/.clawdbot/openclaw.json`:

```
cat /data/.clawdbot/openclaw.json | jq -r '.skills.entries["gh-issues"].apiKey // empty'
```

Export as GH_TOKEN for subsequent commands:

```
export GH_TOKEN="<token>"
```

Build and run a curl request to the GitHub Issues API via exec:

```
curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" \
  "https://api.github.com/repos/{SOURCE_REPO}/issues?per_page={limit}&state={state}&{query_params}"
```

Where {query_params} is built from:

- labels={label} if --label was provided
- milestone={milestone} if --milestone was provided (note: API expects milestone _number_, so if user provides a title, first resolve it via GET /repos/{SOURCE_REPO}/milestones and match by title)
- assignee={assignee} if --assignee was provided (if @me, first resolve your username via `GET /user`)

IMPORTANT: The GitHub Issues API also returns pull requests. Filter them out — exclude any item where pull_request key exists in the response object.

If in watch mode: Also filter out any issue numbers already in the PROCESSED_ISSUES set from previous batches.

Error handling:

- If curl returns an HTTP 401 or 403 → stop and tell the user:
  > "GitHub authentication failed. Please check your apiKey in the OpenClaw dashboard or in ~/.openclaw/openclaw.json under skills.entries.gh-issues."
- If the response is an empty array (after filtering) → report "No issues found matching filters" and stop (or loop back if in watch mode).
- If curl fails or returns any other error → report the error verbatim and stop.

Parse the JSON response. For each issue, extract: number, title, body, labels (array of label names), assignees, html_url.

---

## Phase 3 — Present & Confirm

Display a markdown table of fetched issues:

| #   | Title                         | Labels        |
| --- | ----------------------------- | ------------- |
| 42  | Fix null pointer in parser    | bug, critical |
| 37  | Add retry logic for API calls | enhancement   |

If FORK_MODE is active, also display:

> "Fork mode: branches will be pushed to {PUSH_REPO}, PRs will target `{SOURCE_REPO}`"

If `--dry-run` is active:

- Display the table and stop. Do not proceed to Phase 4.

If `--yes` is active:

- Display the table for visibility
- Auto-process ALL listed issues without asking for confirmation
- Proceed directly to Phase 4

Otherwise:
Ask the user to confirm which issues to process:

- "all" — process every listed issue
- Comma-separated numbers (e.g. `42, 37`) — process only those
- "cancel" — abort entirely

Wait for user response before proceeding.

Watch mode note: On the first poll, always confirm with the user (unless --yes is set). On subsequent polls, auto-process all new issues without re-confirming (the user already opted in). Still display the table so they can see what's being processed.

---

## Phase 4 — Pre-flight Checks

Run these checks sequentially via exec:

1. **Dirty working tree check:**

   ```
   git status --porcelain
   ```

   If output is non-empty, warn the user:

   > "Working tree has uncommitted changes. Sub-agents will create branches from HEAD — uncommitted changes will NOT be included. Continue?"
   > Wait for confirmation. If declined, stop.

2. **Record base branch:**

   ```
   git rev-parse --abbrev-ref HEAD
   ```

   Store as BASE_BRANCH.

3. **Verify remote access:**
   If FORK_MODE:
   - Verify the fork remote exists. Check if a git remote named `fork` exists:
     ```
     git remote get-url fork
     ```
     If it doesn't exist, add it:
     ```
     git remote add fork https://x-access-token:[email protected]/{PUSH_REPO}.git
     ```
   - Also verify origin (the source repo) is reachable:
     ```
     git ls-remote --exit-code origin HEAD
     ```

   If not FORK_MODE:

   ```
   git ls-remote --exit-code origin HEAD
   ```

   If this fails, stop with: "Cannot reach remote origin. Check your network and git config."

4. **Verify GH_TOKEN validity:**

   ```
   curl -s -o /dev/null -w "%{http_code}" -H "Authorization: Bearer $GH_TOKEN" https://api.github.com/user
   ```

   If HTTP status is not 200, stop with:

   > "GitHub authentication failed. Please check your apiKey in the OpenClaw dashboard or in ~/.openclaw/openclaw.json under skills.entries.gh-issues."

5. **Check for existing PRs:**
   For each confirmed issue number N, run:

   ```
   curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" \
     "https://api.github.com/repos/{SOURCE_REPO}/pulls?head={PUSH_REPO_OWNER}:fix/issue-{N}&state=open&per_page=1"
   ```

   (Where PUSH_REPO_OWNER is the owner portion of `PUSH_REPO`)
   If the response array is non-empty, remove that issue from the processing list and report:

   > "Skipping #{N} — PR already exists: {html_url}"

   If all issues are skipped, report and stop (or loop back if in watch mode).

6. **Check for in-progress branches (no PR yet = sub-agent still working):**
   For each remaining issue number N (not already skipped by the PR check above), check if a `fix/issue-{N}` branch exists on the **push repo** (which may be a fork, not origin):

   ```
   curl -s -o /dev/null -w "%{http_code}" \
     -H "Authorization: Bearer $GH_TOKEN" \
     "https://api.github.com/repos/{PUSH_REPO}/branches/fix/issue-{N}"
   ```

   If HTTP 200 → the branch exists on the push repo but no open PR was found for it in step 5. Skip that issue:

   > "Skipping #{N} — branch fix/issue-{N} exists on {PUSH_REPO}, fix likely in progress"

   This check uses the GitHub API instead of `git ls-remote` so it works correctly in fork mode (where branches are pushed to the fork, not origin).

   If all issues are skipped after this check, report and stop (or loop back if in watch mode).

7. **Check claim-based in-progress tracking:**
   This prevents duplicate processing when a sub-agent from a previous cron run is still working but hasn't pushed a branch or opened a PR yet.

   Read the claims file (create empty `{}` if missing):

   ```
   CLAIMS_FILE="/data/.clawdbot/gh-issues-claims.json"
   if [ ! -f "$CLAIMS_FILE" ]; then
     mkdir -p /data/.clawdbot
     echo '{}' > "$CLAIMS_FILE"
   fi
   ```

   Parse the claims file. For each entry, check if the claim timestamp is older than 2 hours. If so, remove it (expired — the sub-agent likely finished or failed silently). Write back the cleaned file:

   ```
   CLAIMS=$(cat "$CLAIMS_FILE")
   CUTOFF=$(date -u -d '2 hours ago' +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u -v-2H +%Y-%m-%dT%H:%M:%SZ)
   CLAIMS=$(echo "$CLAIMS" | jq --arg cutoff "$CUTOFF" 'to_entries | map(select(.value > $cutoff)) | from_entries')
   echo "$CLAIMS" > "$CLAIMS_FILE"
   ```

   For each remaining issue number N (not already skipped by steps 5 or 6), check if `{SOURCE_REPO}#{N}` exists as a key in the claims file.

   If claimed and not expired → skip:

   > "Skipping #{N} — sub-agent claimed this issue {minutes}m ago, still within timeout window"

   Where `{minutes}` is calculated from the claim timestamp to now.

   If all issues are skipped after this check, report and stop (or loop back if in watch mode).

---

## Phase 5 — Spawn Sub-agents (Parallel)

**Cron mode (`--cron` is active):**

- **Sequential cursor tracking:** Use a cursor file to track which issue to process next:

  ```
  CURSOR_FILE="/data/.clawdbot/gh-issues-cursor-{SOURCE_REPO_SLUG}.json"
  # SOURCE_REPO_SLUG = owner-repo with slashes replaced by hyphens (e.g., openclaw-openclaw)
  ```

  Read the cursor file (create if missing):

  ```
  if [ ! -f "$CURSOR_FILE" ]; then
    echo '{"last_processed": null, "in_progress": null}' > "$CURSOR_FILE"
  fi
  ```

  - `last_processed`: issue number of the last completed issue (or null if none)
  - `in_progress`: issue number currently being processed (or null)

- **Select next issue:** Filter the fetched issues list to find the first issue where:
  - Issue number > last_processed (if last_processed is set)
  - AND issue is not in the claims file (not already in progress)
  - AND no PR exists for the issue (checked in Phase 4 step 5)
  - AND no branch exists on the push repo (checked in Phase 4 step 6)
- If no eligible issue is found after the last_processed cursor, wrap around to the beginning (start from the oldest eligible issue).

- If an eligible issue is found:
  1. Mark it as in_progress in the cursor file
  2. Spawn a single sub-agent for that one issue with `cleanup: "keep"` and `runTimeoutSeconds: 3600`
  3. If `--model` was provided, include `model: "{MODEL}"` in the spawn config
  4. If `--notify-channel` was provided, include the channel in the task so the sub-agent can notify
  5. Do NOT await the sub-agent result — fire and forget
  6. **Write claim:** After spawning, read the claims file, add `{SOURCE_REPO}#{N}` with the current ISO timestamp, and write it back
  7. Immediately report: "Spawned fix agent for #{N} — will create PR when complete"
  8. Exit the skill. Do not proceed to Results Collection or Phase 6.

- If no eligible issue is found (all issues either have PRs, have branches, or are in progress), report "No eligible issues to process — all issues have PRs/branches or are in progress" and exit.

**Normal mode (`--cron` is NOT active):**
For each confirmed issue, spawn a sub-agent using sessions_spawn. Launch up to 8 concurrently (matching `subagents.maxConcurrent: 8`). If more than 8 issues, batch them — launch the next agent as each completes.

**Write claims:** After spawning each sub-agent, read the claims file, add `{SOURCE_REPO}#{N}` with the current ISO timestamp, and write it back (same procedure as cron mode above). This covers interactive usage where watch mode might overlap with cron runs.

### Sub-agent Task Prompt

For each issue, construct the following prompt and pass it to sessions_spawn. Variables to inject into the template:

- {SOURCE_REPO} — upstream repo where the issue lives
- {PUSH_REPO} — repo to push branches to (same as SOURCE_REPO unless fork mode)
- {FORK_MODE} — true/false
- {PUSH_REMOTE} — `fork` if FORK_MODE, otherwise `origin`
- {number}, {title}, {url}, {labels}, {body} — from the issue
- {BASE_BRANCH} — from Phase 4
- {notify_channel} — Telegram channel ID for notifications (empty if not set). Replace {notify_channel} in the template below with the value of `--notify-channel` flag (or leave as empty string if not provided).

When constructing the task, replace all template variables including {notify_channel} with actual values.

```
You are a focused code-fix agent. Your task is to fix a single GitHub issue and open a PR.

IMPORTANT: Do NOT use the gh CLI — it is not installed. Use curl with the GitHub REST API for all GitHub operations.

First, ensure GH_TOKEN is set. Check: `echo $GH_TOKEN`. If empty, read from config:
GH_TOKEN=$(cat ~/.openclaw/openclaw.json 2>/dev/null | jq -r '.skills.entries["gh-issues"].apiKey // empty') || GH_TOKEN=$(cat /data/.clawdbot/openclaw.json 2>/dev/null | jq -r '.skills.entries["gh-issues"].apiKey // empty')

Use the token in all GitHub API calls:
curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" ...

<config>
Source repo (issues): {SOURCE_REPO}
Push repo (branches + PRs): {PUSH_REPO}
Fork mode: {FORK_MODE}
Push remote name: {PUSH_REMOTE}
Base branch: {BASE_BRANCH}
Notify channel: {notify_channel}
</config>

<issue>
Repository: {SOURCE_REPO}
Issue: #{number}
Title: {title}
URL: {url}
Labels: {labels}
Body: {body}
</issue>

<instructions>
Follow these steps in order. If any step fails, report the failure and stop.

0. SETUP — Ensure GH_TOKEN is available:
```

export GH_TOKEN=$(node -e "const fs=require('fs'); const c=JSON.parse(fs.readFileSync('/data/.clawdbot/openclaw.json','utf8')); console.log(c.skills?.entries?.['gh-issues']?.apiKey || '')")

```
If that fails, also try:
```

export GH_TOKEN=$(cat ~/.openclaw/openclaw.json 2>/dev/null | node -e "const fs=require('fs');const d=JSON.parse(fs.readFileSync(0,'utf8'));console.log(d.skills?.entries?.['gh-issues']?.apiKey||'')")

```
Verify: echo "Token: ${GH_TOKEN:0:10}..."

1. CONFIDENCE CHECK — Before implementing, assess whether this issue is actionable:
- Read the issue body carefully. Is the problem clearly described?
- Search the codebase (grep/find) for the relevant code. Can you locate it?
- Is the scope reasonable? (single file/function = good, whole subsystem = bad)
- Is a specific fix suggested or is it a vague complaint?

Rate your confidence (1-10). If confidence < 7, STOP and report:
> "Skipping #{number}: Low confidence (score: N/10) — [reason: vague requirements | cannot locate code | scope too large | no clear fix suggested]"

Only proceed if confidence >= 7.

1. UNDERSTAND — Read the issue carefully. Identify what needs to change and where.

2. BRANCH — Create a feature branch from the base branch:
git checkout -b fix/issue-{number} {BASE_BRANCH}

3. ANALYZE — Search the codebase to find relevant files:
- Use grep/find via exec to locate code related to the issue
- Read the relevant files to understand the current behavior
- Identify the root cause

4. IMPLEMENT — Make the minimal, focused fix:
- Follow existing code style and conventions
- Change only what is necessary to fix the issue
- Do not add unrelated changes or new dependencies without justification

5. TEST — Discover and run the existing test suite if one exists:
- Look for package.json scripts, Makefile targets, pytest, cargo test, etc.
- Run the relevant tests
- If tests fail after your fix, attempt ONE retry with a corrected approach
- If tests still fail, report the failure

6. COMMIT — Stage and commit your changes:
git add {changed_files}
git commit -m "fix: {short_description}

Fixes {SOURCE_REPO}#{number}"

7. PUSH — Push the branch:
First, ensure the push remote uses token auth and disable credential helpers:
git config --global credential.helper ""
git remote set-url {PUSH_REMOTE} https://x-access-token:[email protected]/{PUSH_REPO}.git
Then push:
GIT_ASKPASS=true git push -u {PUSH_REMOTE} fix/issue-{number}

8. PR — Create a pull request using the GitHub API:

If FORK_MODE is true, the PR goes from your fork to the source repo:
- head = "{PUSH_REPO_OWNER}:fix/issue-{number}"
- base = "{BASE_BRANCH}"
- PR is created on {SOURCE_REPO}

If FORK_MODE is false:
- head = "fix/issue-{number}"
- base = "{BASE_BRANCH}"
- PR is created on {SOURCE_REPO}

curl -s -X POST \
  -H "Authorization: Bearer $GH_TOKEN" \
  -H "Accept: application/vnd.github+json" \
  https://api.github.com/repos/{SOURCE_REPO}/pulls \
  -d '{
    "title": "fix: {title}",
    "head": "{head_value}",
    "base": "{BASE_BRANCH}",
    "body": "## Summary\n\n{one_paragraph_description_of_fix}\n\n## Changes\n\n{bullet_list_of_changes}\n\n## Testing\n\n{what_was_tested_and_results}\n\nFixes {SOURCE_REPO}#{number}"
  }'

Extract the `html_url` from the response — this is the PR link.

9. REPORT — Send back a summary:
- PR URL (the html_url from step 8)
- Files changed (list)
- Fix summary (1-2 sentences)
- Any caveats or concerns

10. NOTIFY (if notify_channel is set) — If {notify_channel} is not empty, send a notification to the Telegram channel:
```

Use the message tool with:

- action: "send"
- channel: "telegram"
- target: "{notify_channel}"
- message: "✅ PR Created: {SOURCE_REPO}#{number}

{title}

{pr_url}

Files changed: {files_changed_list}"

```
</instructions>

<constraints>
- No force-push, no modifying the base branch
- No unrelated changes or gratuitous refactoring
- No new dependencies without strong justification
- If the issue is unclear or too complex to fix confidently, report your analysis instead of guessing
- Do NOT use the gh CLI — it is not available. Use curl + GitHub REST API for all GitHub operations.
- GH_TOKEN is already in the environment — do NOT prompt for auth
- Time limit: you have 60 minutes max. Be thorough — analyze properly, test your fix, don't rush.
</constraints>
```

### Spawn configuration per sub-agent:

- runTimeoutSeconds: 3600 (60 minutes)
- cleanup: "keep" (preserve transcripts for review)
- If `--model` was provided, include `model: "{MODEL}"` in the spawn config

### Timeout Handling

If a sub-agent exceeds 60 minutes, record it as:

> "#{N} — Timed out (issue may be too complex for auto-fix)"

---

## Results Collection

**If `--cron` is active:** Skip this section entirely — the orchestrator already exited after spawning in Phase 5.

After ALL sub-agents complete (or timeout), collect their results. Store the list of successfully opened PRs in `OPEN_PRS` (PR number, branch name, issue number, PR URL) for use in Phase 6.

Present a summary table:

| Issue                 | Status    | PR                             | Notes                          |
| --------------------- | --------- | ------------------------------ | ------------------------------ |
| #42 Fix null pointer  | PR opened | https://github.com/.../pull/99 | 3 files changed                |
| #37 Add retry logic   | Failed    | --                             | Could not identify target code |
| #15 Update docs       | Timed out | --                             | Too complex for auto-fix       |
| #8 Fix race condition | Skipped   | --                             | PR already exists              |

**Status values:**

- **PR opened** — success, link to PR
- **Failed** — sub-agent could not complete (include reason in Notes)
- **Timed out** — exceeded 60-minute limit
- **Skipped** — existing PR detected in pre-flight

End with a one-line summary:

> "Processed {N} issues: {success} PRs opened, {failed} failed, {skipped} skipped."

**Send notification to channel (if --notify-channel is set):**
If `--notify-channel` was provided, send the final summary to that Telegram channel using the `message` tool:

```
Use the message tool with:
- action: "send"
- channel: "telegram"
- target: "{notify-channel}"
- message: "✅ GitHub Issues Processed

Processed {N} issues: {success} PRs opened, {failed} failed, {skipped} skipped.

{PR_LIST}"

Where PR_LIST includes only successfully opened PRs in format:
• #{issue_number}: {PR_url} ({notes})
```

Then proceed to Phase 6.

---

## Phase 6 — PR Review Handler

This phase monitors open PRs (created by this skill or pre-existing `fix/issue-*` PRs) for review comments and spawns sub-agents to address them.

**When this phase runs:**

- After Results Collection (Phases 2-5 completed) — checks PRs that were just opened
- When `--reviews-only` flag is set — skips Phases 2-5 entirely, runs only this phase
- In watch mode — runs every poll cycle after checking for new issues

**Cron review mode (`--cron --reviews-only`):**
When both `--cron` and `--reviews-only` are set:

1. Run token resolution (Phase 2 token section)
2. Discover open `fix/issue-*` PRs (Step 6.1)
3. Fetch review comments (Step 6.2)
4. **Analyze comment content for actionability** (Step 6.3)
5. If actionable comments are found, spawn ONE review-fix sub-agent for the first PR with unaddressed comments — fire-and-forget (do NOT await result)
   - Use `cleanup: "keep"` and `runTimeoutSeconds: 3600`
   - If `--model` was provided, include `model: "{MODEL}"` in the spawn config
6. Report: "Spawned review handler for PR #{N} — will push fixes when complete"
7. Exit the skill immediately. Do not proceed to Step 6.5 (Review Results).

If no actionable comments found, report "No actionable review comments found" and exit.

**Normal mode (non-cron) continues below:**

### Step 6.1 — Discover PRs to Monitor

Collect PRs to check for review comments:

**If coming from Phase 5:** Use the `OPEN_PRS` list from Results Collection.

**If `--reviews-only` or subsequent watch cycle:** Fetch all open PRs with `fix/issue-` branch pattern:

```
curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" \
  "https://api.github.com/repos/{SOURCE_REPO}/pulls?state=open&per_page=100"
```

Filter to only PRs where `head.ref` starts with `fix/issue-`.

For each PR, extract: `number` (PR number), `head.ref` (branch name), `html_url`, `title`, `body`.

If no PRs found, report "No open fix/ PRs to monitor" and stop (or loop back if in watch mode).

### Step 6.2 — Fetch All Review Sources

For each PR, fetch reviews from multiple sources:

**Fetch PR reviews:**

```
curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" \
  "https://api.github.com/repos/{SOURCE_REPO}/pulls/{pr_number}/reviews"
```

**Fetch PR review comments (inline/file-level):**

```
curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" \
  "https://api.github.com/repos/{SOURCE_REPO}/pulls/{pr_number}/comments"
```

**Fetch PR issue comments (general conversation):**

```
curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" \
  "https://api.github.com/repos/{SOURCE_REPO}/issues/{pr_number}/comments"
```

**Fetch PR body for embedded reviews:**
Some review tools (like Greptile) embed their feedback directly in the PR body. Check for:

- `<!-- greptile_comment -->` markers
- Other structured review sections in the PR body

```
curl -s -H "Authorization: Bearer $GH_TOKEN" -H "Accept: application/vnd.github+json" \
  "https://api.github.com/repos/{SOURCE_REPO}/pulls/{pr_number}"
```

Extract the `body` field and parse for embedded review content.

### Step 6.3 — Analyze Comments for Actionability

**Determine the bot's own username** for filtering:

```
curl -s -H "Authorization: Bearer $GH_TOKEN" https://api.github.com/user | jq -r '.login'
```

Store as `BOT_USERNAME`. Exclude any comment where `user.login` equals `BOT_USERNAME`.

**For each comment/review, analyze the content to determine if it requires action:**

**NOT actionable (skip):**

- Pure approvals or "LGTM" without suggestions
- Bot comments that are informational only (CI status, auto-generated summaries without specific requests)
- Comments already addressed (check if bot replied with "Addressed in commit...")
- Reviews with state `APPROVED` and no inline comments requesting changes

**IS actionable (requires attention):**

- Reviews with state `CHANGES_REQUESTED`
- Reviews with state `COMMENTED` that contain specific requests:
  - "this test needs to be updated"
  - "please fix", "change this", "update", "can you", "should be", "needs to"
  - "will fail", "will break", "causes an error"
  - Mentions of specific code issues (bugs, missing error handling, edge cases)
- Inline review comments pointing out issues in the code
- Embedded reviews in PR body that identify:
  - Critical issues or breaking changes
  - Test failures expected
  - Specific code that needs attention
  - Confidence scores with concerns

**Parse embedded review content (e.g., Greptile):**
Look for sections marked with `<!-- greptile_comment -->` or similar. Extract:

- Summary text
- Any mentions of "Critical issue", "needs attention", "will fail", "test needs to be updated"
- Confidence scores below 4/5 (indicates concerns)

**Build actionable_comments list** with:

- Source (review, inline comment, PR body, etc.)
- Author
- Body text
- For inline: file path and line number
- Specific action items identified

If no actionable comments found across any PR, report "No actionable review comments found" and stop (or loop back if in watch mode).

### Step 6.4 — Present Review Comments

Display a table of PRs with pending actionable comments:

```
| PR | Branch | Actionable Comments | Sources |
|----|--------|---------------------|---------|
| #99 | fix/issue-42 | 2 comments | @reviewer1, greptile |
| #101 | fix/issue-37 | 1 comment | @reviewer2 |
```

If `--yes` is NOT set and this is not a subsequent watch poll: ask the user to confirm which PRs to address ("all", comma-separated PR numbers, or "skip").

### Step 6.5 — Spawn Review Fix Sub-agents (Parallel)

For each PR with actionable comments, spawn a sub-agent. Launch up to 8 concurrently.

**Review fix sub-agent prompt:**

```
You are a PR review handler agent. Your task is to address review comments on a pull request by making the requested changes, pushing updates, and replying to each comment.

IMPORTANT: Do NOT use the gh CLI — it is not installed. Use curl with the GitHub REST API for all GitHub operations.

First, ensure GH_TOKEN is set. Check: echo $GH_TOKEN. If empty, read from config:
GH_TOKEN=$(cat ~/.openclaw/openclaw.json 2>/dev/null | jq -r '.skills.entries["gh-issues"].apiKey // empty') || GH_TOKEN=$(cat /data/.clawdbot/openclaw.json 2>/dev/null | jq -r '.skills.entries["gh-issues"].apiKey // empty')

<config>
Repository: {SOURCE_REPO}
Push repo: {PUSH_REPO}
Fork mode: {FORK_MODE}
Push remote: {PUSH_REMOTE}
PR number: {pr_number}
PR URL: {pr_url}
Branch: {branch_name}
</config>

<review_comments>
{json_array_of_actionable_comments}

Each comment has:
- id: comment ID (for replying)
- user: who left it
- body: the comment text
- path: file path (for inline comments)
- line: line number (for inline comments)
- diff_hunk: surrounding diff context (for inline comments)
- source: where the comment came from (review, inline, pr_body, greptile, etc.)
</review_comments>

<instructions>
Follow these steps in order:

0. SETUP — Ensure GH_TOKEN is available:
```

export GH_TOKEN=$(node -e "const fs=require('fs'); const c=JSON.parse(fs.readFileSync('/data/.clawdbot/openclaw.json','utf8')); console.log(c.skills?.entries?.['gh-issues']?.apiKey || '')")

```
Verify: echo "Token: ${GH_TOKEN:0:10}..."

1. CHECKOUT — Switch to the PR branch:
git fetch {PUSH_REMOTE} {branch_name}
git checkout {branch_name}
git pull {PUSH_REMOTE} {branch_name}

2. UNDERSTAND — Read ALL review comments carefully. Group them by file. Understand what each reviewer is asking for.

3. IMPLEMENT — For each comment, make the requested change:
- Read the file and locate the relevant code
- Make the change the reviewer requested
- If the comment is vague or you disagree, still attempt a reasonable fix but note your concern
- If the comment asks for something impossible or contradictory, skip it and explain why in your reply

4. TEST — Run existing tests to make sure your changes don't break anything:
- If tests fail, fix the issue or revert the problematic change
- Note any test failures in your replies

5. COMMIT — Stage and commit all changes in a single commit:
git add {changed_files}
git commit -m "fix: address review comments on PR #{pr_number}

Addresses review feedback from {reviewer_names}"

6. PUSH — Push the updated branch:
git config --global credential.helper ""
git remote set-url {PUSH_REMOTE} https://x-access-token:[email protected]/{PUSH_REPO}.git
GIT_ASKPASS=true git push {PUSH_REMOTE} {branch_name}

7. REPLY — For each addressed comment, post a reply:

For inline review comments (have a path/line), reply to the comment thread:
curl -s -X POST \
  -H "Authorization: Bearer $GH_TOKEN" \
  -H "Accept: application/vnd.github+json" \
  https://api.github.com/repos/{SOURCE_REPO}/pulls/{pr_number}/comments/{comment_id}/replies \
  -d '{"body": "Addressed in commit {short_sha} — {brief_description_of_change}"}'

For general PR comments (issue comments), reply on the PR:
curl -s -X POST \
  -H "Authorization: Bearer $GH_TOKEN" \
  -H "Accept: application/vnd.github+json" \
  https://api.github.com/repos/{SOURCE_REPO}/issues/{pr_number}/comments \
  -d '{"body": "Addressed feedback from @{reviewer}:\n\n{summary_of_changes_made}\n\nUpdated in commit {short_sha}"}'

For comments you could NOT address, reply explaining why:
"Unable to address this comment: {reason}. This may need manual review."

8. REPORT — Send back a summary:
- PR URL
- Number of comments addressed vs skipped
- Commit SHA
- Files changed
- Any comments that need manual attention
</instructions>

<constraints>
- Only modify files relevant to the review comments
- Do not make unrelated changes
- Do not force-push — always regular push
- If a comment contradicts another comment, address the most recent one and flag the conflict
- Do NOT use the gh CLI — use curl + GitHub REST API
- GH_TOKEN is already in the environment — do not prompt for auth
- Time limit: 60 minutes max
</constraints>
```

**Spawn configuration per sub-agent:**

- runTimeoutSeconds: 3600 (60 minutes)
- cleanup: "keep" (preserve transcripts for review)
- If `--model` was provided, include `model: "{MODEL}"` in the spawn config

### Step 6.6 — Review Results

After all review sub-agents complete, present a summary:

```
| PR | Comments Addressed | Comments Skipped | Commit | Status |
|----|-------------------|-----------------|--------|--------|
| #99 fix/issue-42 | 3 | 0 | abc123f | All addressed |
| #101 fix/issue-37 | 1 | 1 | def456a | 1 needs manual review |
```

Add comment IDs from this batch to `ADDRESSED_COMMENTS` set to prevent re-processing.

---

## Watch Mode (if --watch is active)

After presenting results from the current batch:

1. Add all issue numbers from this batch to the running set PROCESSED_ISSUES.
2. Add all addressed comment IDs to ADDRESSED_COMMENTS.
3. Tell the user:
   > "Next poll in {interval} minutes... (say 'stop' to end watch mode)"
4. Sleep for {interval} minutes.
5. Go back to **Phase 2 — Fetch Issues**. The fetch will automatically filter out:
   - Issues already in PROCESSED_ISSUES
   - Issues that have existing fix/issue-{N} PRs (caught in Phase 4 pre-flight)
6. After Phases 2-5 (or if no new issues), run **Phase 6** to check for new review comments on ALL tracked PRs (both newly created and previously opened).
7. If no new issues AND no new actionable review comments → report "No new activity. Polling again in {interval} minutes..." and loop back to step 4.
8. The user can say "stop" at any time to exit watch mode. When stopping, present a final cumulative summary of ALL batches — issues processed AND review comments addressed.

**Context hygiene between polls — IMPORTANT:**
Only retain between poll cycles:

- PROCESSED_ISSUES (set of issue numbers)
- ADDRESSED_COMMENTS (set of comment IDs)
- OPEN_PRS (list of tracked PRs: number, branch, URL)
- Cumulative results (one line per issue + one line per review batch)
- Parsed arguments from Phase 1
- BASE_BRANCH, SOURCE_REPO, PUSH_REPO, FORK_MODE, BOT_USERNAME
  Do NOT retain issue bodies, comment bodies, sub-agent transcripts, or codebase analysis between polls.

Popular in AI Agent

self-improving agentAI Agent

Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.

↓ 1.6M★ 4.5Kpskoett
技能发现·Find SkillsAI Agent

Finds skills in local and remote catalogs from a plain-language request and recommends what to install.

↓ 1.6M★ 1.8K桂皮
Agent BrowserAI Agent

A browser-automation command line skill for AI agents.

↓ 1.2M★ 1.0KNicolas Kleiber
Self-Improving + Proactive AgentAI Agent

Turns corrections and self-review into tiered memory and promotes or archives it by use.

↓ 696.4K★ 1.6KIván
Proactive AgentAI Agent

A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.

↓ 579.3K★ 916halthelobster
Skill CreatorAI Agent

A guide to creating and updating effective Claude skills.

↓ 477.3K★ 485chindden
Skill VetterAI Agent

Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.

↓ 445.2K★ 1.3Kspclaudehome
唐朝诗仙李白 · Ai Agent SkillAI Agent

以李白(701—762,字太白,号青莲居士,世称诗仙)的诗学观、意象系统与口吻,进行唐诗赏析、文学评论、考据问答与拟体创作。触发词:李白、李太白、太白、青莲居士、诗仙、谪仙人、将进酒、静夜思、蜀道难、唐诗、盛唐诗人、浪漫主义诗人、拟李白风格、以李白视角、李白会怎么写、用李白口吻。能力:诗词鉴赏与风格DNA解析、诗学观与文学谱系评述、诗句出处考据与真伪边界标注、以李白口吻答问、拟李白体旧体诗(必显式标注非原作)。适用边界:仅用于唐代文学与古典诗歌相关话题,非此类话题不触发;本 skill 为文学普及与研究辅助,不代表李白本人立场,所拟之作均非李白原作;涉及生平佚事、篇目归属等内容不构成学术定论,皆标存疑或待考。

↓ 435.8K★ 4user_ff4d9420

More from JackHua6

Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.