Caveat verdict
qq-invoice-downloader
Automates downloading invoice PDFs from QQ email and generating Excel reports; credential_access is for reading QQ email credentials, all operations are local file handling, and the LLM integration uses MiniMax for invoice classification — no exfiltration of secrets to unexpected hosts.
⚠ 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.
Findings (5)
Possible hardcoded credential
SKILL.md · code · API_KEY = "your-api-key-here
Python os.environ.get — reads environment variable
COMPLETE_EXPERIENCE.md · code · os.environ.get(
subprocess execution — runs system commands from Python
quick_test.py · prose · downgraded · subprocess.run(
Python directory traversal
CHANGELOG.md · code · os.listdir(
Python urllib.request — network access
invoice_analyzer_v9.py · prose · downgraded · urllib.request
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?
Thanks — recorded.