bibaofeng

Last30days

Data Analysisv1.0.4
By bibaofengUpdated 2026-07-11last30days@clawhub_bibaofeng/last30days
Data InsightsWeb Scraping

According to AlphaMoat, as of 2026-10, Last30days has 23,003 downloads and 30 stars — ranked by downloads #1,234 among 10,914 AI skills in this ranking, and #114 of 915 in Data Analysis.

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

Downloads
23.0K
Stars
30
Overall download rank
#1,234
Top 12% overall · Top 13% in Data Analysis
PlatformDownloadsStarsComments
ClawHub ↗4.3K--
SkillHub ↗23.0K30—

Platforms count differently and update at different times.

What this skill does

It merges recent public content from Reddit, X, YouTube, Hacker News, GitHub and other sources, then deduplicates and clusters it into a ranked brief with citations. It suits launch reactions, competitor comparisons and trend scans, but not tasks that want only one official source and no social signal. The sources include community platforms, so results reflect visible community signals; use a single official source when that is required.

Profile published 2026-10-27

What you can do with it

  • Map community reaction in the week after a product launch
  • Produce a cited recent-state comparison of two competitors

When to use it

  • When recent social and community evidence is needed
  • When doing a trend scan or a person and company profile

Example prompts

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

Show me what the community has been focusing on for this tool lately
Build a cited brief comparing two competitors over the last 30 days

Monthly Trend

Downloads23.0K
6.9K15.6K24.2K2026-03 · Downloads 8.1K2026-05 · Downloads 9.5K2026-07 · Downloads 11.3K2026-08 · Downloads 11.9K2026-09 · Downloads 13.7K2026-10 · Downloads 23.0K26-0326-0926-10
Stars30
2729302026-03 · Stars 272026-05 · Stars 292026-07 · Stars 302026-08 · Stars 302026-09 · Stars 302026-10 · Stars 3026-0326-0926-10

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.

MonthDownloadsMoMStars
2026-1023.0K—30
2026-0913.7K—30
2026-0811.9K+5.5%30
2026-0711.3K—30
2026-059.5K—29
2026-038.1K—27

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.

7.0 KB · ClawHub v1.0.4
---
name: last30days
description: Research the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and grounded web search. Returns a ranked, clustered brief with citations. Use when the task needs recent social evidence, competitor comparisons, launch reactions, trend scans, or person/company profiles.
author: AIsa
version: 1.0.4
license: MIT
homepage: https://aisa.one
source: https://github.com/baofeng-tech/agent-skills-io/tree/main/targetSkills/last30days
user-invocable: true
primaryEnv: AISA_API_KEY
Show all (222 lines)
requires:
  bins:
  - python3
  - bash
  env:
  - AISA_API_KEY
metadata:
  aisa:
    emoji: 🔎
    requires:
      bins:
      - python3
      - bash
      env:
      - AISA_API_KEY
    optionalEnv:
    - LAST30DAYS_PLANNER_MODEL
    - LAST30DAYS_RERANK_MODEL
    - LAST30DAYS_FUN_MODEL
    - AISA_MODEL
    - AISA_BASE_URL
    - XIAOHONGSHU_API_BASE
    - LAST30DAYS_REASONING_PROVIDER
    - INCLUDE_SOURCES
    - LAST30DAYS_X_BACKEND
    - LAST30DAYS_YOUTUBE_TRANSCRIPTS
    - LAST30DAYS_REDDIT_COMMENTS
    - GH_TOKEN
    - GITHUB_TOKEN
    - LAST30DAYS_CONFIG_DIR
    - LAST30DAYS_DEBUG
    primaryEnv: AISA_API_KEY
    compatibility:
    - openclaw
    - claude-code
    - hermes
  openclaw:
    emoji: 🔎
    requires:
      bins:
      - python3
      - bash
      env:
      - AISA_API_KEY
    optionalEnv:
    - LAST30DAYS_PLANNER_MODEL
    - LAST30DAYS_RERANK_MODEL
    - LAST30DAYS_FUN_MODEL
    - AISA_MODEL
    - AISA_BASE_URL
    - XIAOHONGSHU_API_BASE
    - LAST30DAYS_REASONING_PROVIDER
    - INCLUDE_SOURCES
    - LAST30DAYS_X_BACKEND
    - LAST30DAYS_YOUTUBE_TRANSCRIPTS
    - LAST30DAYS_REDDIT_COMMENTS
    - GH_TOKEN
    - GITHUB_TOKEN
    - LAST30DAYS_CONFIG_DIR
    - LAST30DAYS_DEBUG
    primaryEnv: AISA_API_KEY
---

# last30days 📰

**30-day multi-source research brief for autonomous agents. Powered by AIsa.**

One API key. Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and grounded web search — merged into a single ranked brief.

## Compatibility

Works with any [agentskills.io](https://agentskills.io)-compatible harness, including:

- **Claude Code** and **Claude**
- **OpenAI Codex**
- **Cursor**
- **Gemini CLI**
- **OpenCode**, **Goose**, **OpenClaw**, **Hermes**
- and other harnesses that implement the [Agent Skills specification](https://agentskills.io/specification)

Requires Python 3, a POSIX shell, and `AISA_API_KEY` (get one at [aisa.one](https://aisa.one)).

## Example requests

### Trend scan
```text
"last30days OpenAI Agents SDK"
```

### Competitor comparison
```text
"last30days Claude Code vs Codex"
```

### Person or company profile
```text
"last30days Peter Steinberger"
```

### Launch reaction
```text
"last30days GPT-5 launch --deep"
```

### Prediction-market angle
```text
"last30days bitcoin price"
```

## Quick start

```bash
# 1. Export your AIsa key
export AISA_API_KEY=sk-...

# 2. First-run setup (interactive — picks planner / rerank / fun-scorer models)
bash scripts/run-last30days.sh setup

# 3. Research a topic
bash scripts/run-last30days.sh "OpenAI Agents SDK"
```

## Common flags

```bash
# Low-latency profile (fewer candidates per source)
bash scripts/run-last30days.sh "$ARGUMENTS" --quick

# Higher-recall profile
bash scripts/run-last30days.sh "$ARGUMENTS" --deep

# Machine-readable output (full plan + candidates + clusters)
bash scripts/run-last30days.sh "$ARGUMENTS" --emit=json

# Restrict to specific sources
bash scripts/run-last30days.sh "$ARGUMENTS" --search=reddit,x,grounding

# Check provider / source availability
bash scripts/run-last30days.sh --diagnose
```

## Inputs and outputs

**Input.** A topic, person, company, product, or comparison — for example: `OpenAI Agents SDK`, `OpenClaw vs Codex`, or `Peter Steinberger`.

**Output.** A markdown brief by default, or JSON with:

- `query_plan` — planner-generated subqueries and source weights
- `ranked_candidates` — reranked candidate pool with scores
- `clusters` — semantically grouped findings
- `items_by_source` — per-source item lists with dates, engagement, and URLs
- `provider_runtime` — which models and retrieval backends ran
- `errors_by_source` — any source-level failures (fail-soft)

## When to use

- You need recent evidence from the last 30 days about a person, company, product, market, tool, or trend.
- You want a ranked competitor comparison, launch-reaction summary, creator or community sentiment scan, or shipping update.
- You want a structured JSON brief to feed into another agent.

## When not to use

- Timeless reference questions with no recent-evidence requirement.
- Tasks where you only want one official source and do not want social or community signals.

## Capabilities

- **AISA-powered**: planner (structured JSON query plan), reranker (relevance ordering), fun-scorer (meme or quirk signal), and hosted retrieval for X, YouTube, TikTok, Instagram, Polymarket, and grounded Tavily web search.
- **Public paths (no extra credentials)**: Reddit and Hacker News.
- **GitHub** via the official API when `GH_TOKEN` or `GITHUB_TOKEN` is set — optional.
- **Fail-soft**: if one source errors or times out, the brief still renders with the others and notes the gap.

## Model configuration

The skill makes three LLM calls per run. Each role is independently pinnable via `~/.config/last30days/.env`:

```bash
LAST30DAYS_PLANNER_MODEL=qwen-flash           # fast + reliable JSON
LAST30DAYS_RERANK_MODEL=qwen-plus-2025-12-01  # quality ranking
LAST30DAYS_FUN_MODEL=qwen-flash               # cheap vibes
```

Or set `AISA_MODEL=...` for a single model across all three roles. Run `last30days setup` to pick interactively — the picker fetches the live catalog from [aisa.one/docs/guides/models](https://aisa.one/docs/guides/models).

## API reference

last30days calls the following AIsa endpoints directly. See the [full API Reference](https://aisa.one/docs/api-reference) for the complete catalog.

- [OpenAI Chat / `createChatCompletion`](https://aisa.one/docs/api-reference/chat/createchatcompletion) — planner, reranker, fun-scorer
- [Twitter Advanced Search](https://aisa.one/docs/api-reference/twitter/get_twitter-tweet-advanced-search) — X retrieval
- [YouTube Search](https://aisa.one/docs/api-reference/search/get_youtube-search) — YouTube retrieval
- [Tavily Search](https://aisa.one/docs/api-reference/search/post_tavily-search) — grounded web
- [Polymarket Markets](https://aisa.one/docs/api-reference/prediction-market/get_polymarket-markets) — prediction-market retrieval

Reddit and Hacker News use their respective public APIs directly (no AISA proxy required).

## Requirements

- **Python 3.12+**
- **`AISA_API_KEY`** — required. Get one at [aisa.one](https://aisa.one).
- **`GH_TOKEN` / `GITHUB_TOKEN`** — optional, enables the GitHub source.

```bash
# Pin an interpreter ≥ 3.12
for py in /usr/local/python3.12/bin/python3.12 python3.14 python3.13 python3.12 python3; do
  command -v "$py" >/dev/null 2>&1 || continue
  "$py" -c 'import sys; raise SystemExit(0 if sys.version_info >= (3, 12) else 1)' || continue
  LAST30DAYS_PYTHON="$py"
  break
done
```

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