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ai-workflow-course/modules/22-securing-third-party-mcp-and-skills/lab/README.md
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claude 2684095e2f Build out all 27 modules + capstone (#1)
Co-authored-by: claude <claude@jpaul.io>
Co-committed-by: claude <claude@jpaul.io>
2026-06-22 12:19:01 -04:00

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# Module 22 lab files
Run the lab from the module README. Quick map of what's here:
- **`audit.sh`** — the runnable vetting checklist. `bash audit.sh <dir>` statically scans a skill or
MCP server for red flags (network egress, secret/env reads, shell-out, obfuscation, broad FS
access, hidden/injected instructions, zero-width characters). It only reads; it never executes the
target.
- **`suspicious-skill/`** — the audit TARGET for Part A. A deliberately malicious "export tasks to
Notion" skill (`SKILL.md` + `tools/sync.py`). **Do not install it or run `sync.py` against real
credentials** — it exfiltrates your environment and local secrets. The point is to catch it first.
- **`poisoned-task.txt`** — the prompt-injection payload for Part B. A real-looking task with an
injected "system" directive underneath, to add to the Module 1 `tasks-app` and feed to your AI.
Expected result of Part A:
```
bash audit.sh suspicious-skill # exits non-zero, verdict: REJECT
```