Caveat verdict

wechat-mp-auto

88
🟢 Trusted
No high-risk patterns surfaced by the deep scan — automated capability review, not behavioral proof.

WeChat Official Account automation skill orchestrating AI-driven content pipeline (research, draft, image, publish); credential_access is for the WeChat API key as documented, and all behavior matches the stated content-publishing purpose.

⚠ Flagged for review — coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

Automated static analysis — not a human review. Caveat flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.

18
security
30
transparency
70
maintenance

Permission integrity

Code accesses API keys/tokens but declares no environment variables

credential_access

Findings (6)

Pattern match critical

Possible hardcoded credential

README.md · code · SECRET="your_app_secret

Pattern match high

<script> tag in markdown — potential code injection

CHANGELOG.md · prose · downgraded · <script>

Pattern match medium

Accesses OpenClaw config/secrets directly

SKILL.md · prose · downgraded · ~/.openclaw/.env

Pattern match low

Python os.environ.get — reads environment variable

src/config.py · prose · downgraded · os.environ.get(

Pattern match low

Python urllib.request — network access

src/publish.py · prose · downgraded · urllib.request

Pattern match low

Base64 encoding/decoding

src/skills/image_generator.py · prose · downgraded · Base64Encode

Why the tier is capped

Execution sink present in raw bytes (Hard Floor: class D). Final tier capped at Caution — cannot be lifted by any downgrade, example-payload opt-in, or allowlist.

Permissions & capabilities

No declared permissions — minimal attack surface.

credential_access

Is this flag fair?

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