據 AlphaMoat 統計,截至 2026-09,soul-guardian 累計下載 4,724 次、獲 1 個星標,在全部 5,078 個 AI 技能中排名第 2,002 位,在「AI 智慧體」分類(969 個)中排名第 375 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 152 | 4543 | 1 | - |
| SkillHub ↗ | 476 | 4724 | 1 | — |
各平台的計數口徑不同,統計時間不一致。
它對核心配置檔案進行雜湊比對,儲存差異、隔離狀態與鏈式審計記錄;恢復模式會覆蓋變更檔案,排程需主動啟用。需 Python,安裝前應驗證釋出簽名;它不能證明修改者身份,也不能替代備份。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4724 | — | 1 |
| 2026-08 | 4378 | +3.3% | 1 |
| 2026-07 | 4239 | +8.2% | 1 |
| 2026-06 | 3917 | +5.3% | 1 |
| 2026-05 | 3721 | — | 1 |
| 2026-03 | 2972 | — | 1 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: soul-guardian
version: 0.0.6
description: Drift detection + baseline integrity guard for agent workspace files with automatic alerting support
homepage: https://clawsec.prompt.security
metadata: {"openclaw":{"emoji":"👻","category":"security"}}
clawdis:
emoji: "👻"
requires:
bins: [python3]---
# soul-guardian 👻
Protects your agent's core files (SOUL.md, AGENTS.md, etc.) from unauthorized changes with automatic detection, restoration, and **user alerting**.
## Operational Notes
- Required runtime: `python3`
- Optional runtime: `openclaw` for cron integration, `launchctl` for macOS scheduling, `bash` for the demo helper
- Side effects: can auto-restore protected files to their approved baseline and writes audit/quarantine state locally
- Network behavior: none by default
- Trust model: any scheduling is opt-in, but restore mode intentionally overwrites drifted files
## Release Artifact Verification
For standalone installs, verify the signed release manifest before trusting `SKILL.md`, `skill.json`, or the archive. The `skill.json` file is the package metadata/SBOM source, and the release pipeline signs `checksums.json` with the ClawSec release key.
```bash
set -euo pipefail
SKILL_NAME="soul-guardian"
VERSION="0.0.6"
REPO="prompt-security/clawsec"
TAG="${SKILL_NAME}-v${VERSION}"
BASE="https://github.com/${REPO}/releases/download/${TAG}"
ZIP_NAME="${SKILL_NAME}-v${VERSION}.zip"
TMP_DIR="$(mktemp -d)"
trap 'rm -rf "$TMP_DIR"' EXIT
RELEASE_PUBKEY_SHA256="711424e4535f84093fefb024cd1ca4ec87439e53907b305b79a631d5befba9c8"
curl -fsSL "$BASE/checksums.json" -o "$TMP_DIR/checksums.json"
curl -fsSL "$BASE/checksums.sig" -o "$TMP_DIR/checksums.sig"
curl -fsSL "$BASE/signing-public.pem" -o "$TMP_DIR/signing-public.pem"
curl -fsSL "$BASE/$ZIP_NAME" -o "$TMP_DIR/$ZIP_NAME"
curl -fsSL "$BASE/SKILL.md" -o "$TMP_DIR/SKILL.md"
curl -fsSL "$BASE/skill.json" -o "$TMP_DIR/skill.json"
ACTUAL_PUBKEY_SHA256="$(openssl pkey -pubin -in "$TMP_DIR/signing-public.pem" -outform DER | shasum -a 256 | awk '{print $1}')"
if [ "$ACTUAL_PUBKEY_SHA256" != "$RELEASE_PUBKEY_SHA256" ]; then
echo "ERROR: signing-public.pem fingerprint mismatch" >&2
exit 1
fi
openssl base64 -d -A -in "$TMP_DIR/checksums.sig" -out "$TMP_DIR/checksums.sig.bin"
openssl pkeyutl -verify -rawin -pubin \
-inkey "$TMP_DIR/signing-public.pem" \
-sigfile "$TMP_DIR/checksums.sig.bin" \
-in "$TMP_DIR/checksums.json" >/dev/null
hash_file() {
if command -v shasum >/dev/null 2>&1; then
shasum -a 256 "$1" | awk '{print $1}'
else
sha256sum "$1" | awk '{print $1}'
fi
}
verify_manifest_file() {
asset="$1"
path="$2"
expected="$(jq -r --arg asset "$asset" '.files[$asset].sha256 // empty' "$TMP_DIR/checksums.json")"
if [ -z "$expected" ]; then
echo "ERROR: checksums.json missing $asset" >&2
exit 1
fi
actual="$(hash_file "$path")"
if [ "$actual" != "$expected" ]; then
echo "ERROR: checksum mismatch for $asset" >&2
exit 1
fi
}
expected_archive="$(jq -r '.archive.sha256 // empty' "$TMP_DIR/checksums.json")"
if [ -z "$expected_archive" ]; then
echo "ERROR: checksums.json missing archive.sha256" >&2
exit 1
fi
actual_archive="$(hash_file "$TMP_DIR/$ZIP_NAME")"
if [ "$actual_archive" != "$expected_archive" ]; then
echo "ERROR: archive checksum mismatch" >&2
exit 1
fi
verify_manifest_file "SKILL.md" "$TMP_DIR/SKILL.md"
verify_manifest_file "skill.json" "$TMP_DIR/skill.json"
echo "Signed release manifest, archive, SKILL.md, and skill.json verified."
```
Only install or extract the archive after this verification succeeds.
## Quick Start (3 Steps)
### Step 1: Initialize baselines
```bash
cd ~/.openclaw/workspace
python3 skills/soul-guardian/scripts/soul_guardian.py init --actor setup --note "initial baseline"
```
### Step 2: Enable monitoring
```bash
python3 skills/soul-guardian/scripts/soul_guardian.py enable-monitoring
```
This shows you how to add monitoring to your workflow.
### Step 3: Add to HEARTBEAT.md (Recommended)
Add this to your HEARTBEAT.md for automatic monitoring:
```markdown
## Soul Guardian Check
- Run `python3 skills/soul-guardian/scripts/soul_guardian.py check --actor heartbeat --output-format alert`
- If any output is produced, relay it to the user immediately as a security alert
```
That's it! Soul Guardian will now:
- ✅ Detect unauthorized changes to protected files
- ✅ Auto-restore SOUL.md and AGENTS.md to approved baseline
- ✅ Alert you when drift is detected and handled
---
## What it protects (default policy)
| File | Mode | Action on drift |
|------|------|-----------------|
| SOUL.md | restore | Auto-restore + alert |
| AGENTS.md | restore | Auto-restore + alert |
| USER.md | alert | Alert only |
| TOOLS.md | alert | Alert only |
| IDENTITY.md | alert | Alert only |
| HEARTBEAT.md | alert | Alert only |
| MEMORY.md | alert | Alert only |
| memory/*.md | ignore | Ignored |
## Commands
### Check for drift (with alert output)
```bash
python3 skills/soul-guardian/scripts/soul_guardian.py check --output-format alert
```
- Silent if no drift
- Outputs human-readable alert if drift detected
- Perfect for heartbeat integration
### Watch mode (continuous monitoring)
```bash
python3 skills/soul-guardian/scripts/soul_guardian.py watch --interval 30
```
Runs continuously, checking every 30 seconds.
### Approve intentional changes
```bash
python3 skills/soul-guardian/scripts/soul_guardian.py approve --file SOUL.md --actor user --note "intentional update"
```
### View status
```bash
python3 skills/soul-guardian/scripts/soul_guardian.py status
```
### Verify audit log integrity
```bash
python3 skills/soul-guardian/scripts/soul_guardian.py verify-audit
```
---
## Alert Format
When drift is detected, the `--output-format alert` produces output like:
```
==================================================
🚨 SOUL GUARDIAN SECURITY ALERT
==================================================
📄 FILE: SOUL.md
Mode: restore
Status: ✅ RESTORED to approved baseline
Expected hash: abc123def456...
Found hash: 789xyz000111...
Diff saved: /path/to/patches/drift.patch
==================================================
Review changes and investigate the source of drift.
If intentional, run: soul_guardian.py approve --file <path>
==================================================
```
This output is designed to be relayed directly to the user in TUI/chat.
---
## Security Model
**What it does:**
- Detects filesystem drift vs approved baseline (sha256)
- Produces unified diffs for review
- Maintains tamper-evident audit log with hash chaining
- Refuses to operate on symlinks
- Uses atomic writes for restores
**What it doesn't do:**
- Cannot prove WHO made a change (actor is best-effort metadata)
- Cannot protect if attacker controls both workspace AND state directory
- Is not a substitute for backups
**Recommendation:** Store state directory outside workspace for better resilience.
---
## Demo
Run the full demo flow to see soul-guardian in action:
```bash
bash skills/soul-guardian/scripts/demo.sh
```
This will:
1. Verify clean state (silent check)
2. Inject malicious content into SOUL.md
3. Run heartbeat check (produces alert)
4. Show SOUL.md was restored
---
## Troubleshooting
**"Not initialized" error:**
Run `init` first to set up baselines.
**Drift keeps happening:**
Check what's modifying your files. Review the audit log and patches.
**Want to approve a change:**
Run `approve --file <path>` after reviewing the change.
將開發過程中的經驗、錯誤與修正記錄為 Markdown 檔案,供日後重用並提升為工作區記憶。
用自然語言描述需求,在本機與遠端技能市場尋找技能並取得推薦。
給 AI agent 用的瀏覽器自動化命令列技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在安裝第三方技能之前,按清單審查來源、許可權與危險模式的技能。
將代理記憶與跨技能狀態整理成具型別與約束的知識圖譜。
規劃 AI 代理主動跟進、工作記憶與回顧流程的工作區設定指南。
指導如何建立與更新有效 Claude 技能的寫作指南。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。