cheat-init
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONPERSISTENCE
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill fetches content from external video platforms, including video titles, metadata, and top comments, to populate
report.mdand historical prediction files. - Ingestion points: Phase 3.5 fetches data from TikTok, Red (XHS), YouTube, Bilibili, and LinkedIn via platform-specific adapters.
- Boundary markers: The instructions do not specify any delimiters or safety headers to prevent the agent from interpreting instructions embedded within the fetched comments or titles.
- Capability inventory: The skill possesses
Bash,Write, andEditcapabilities, allowing it to modify project files and execute local scripts based on the processed context. - Sanitization: No explicit sanitization or filtering of external content is described before interpolation into the project's markdown files.
- [COMMAND_EXECUTION]: The skill utilizes the
Bashtool to perform environment setup and validation. - Evidence: Phase 3 uses shell commands to copy templates and create directory structures. Phase 4 executes a test script (
bash .cheat-hooks/session-start.sh) and uses command output to verify that hooks are correctly intercepting file edits. - [PERSISTENCE]: The setup process establishes persistent behavior modification by registering hooks in the agent's configuration.
- Evidence: Phase 3, Step 6 modifies
.claude/settings.jsonto registerPreToolUse(for a "prediction lock") andSessionStarthooks. These hooks trigger shell scripts located in the project's.cheat-hooks/directory whenever a new session starts or specific tools are invoked, ensuring the skill's logic persists across multiple agent interactions.
Audit Metadata