Reference-only OpenClaw adaptation of SkillOpt-Sleep. Use it to study or port the contributed DeepSeek wrapper, not as a ready-to-run installation.
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Low
Low-risk findings worth noting
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tessl review fix ./plugins/openclaw/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
In run_sleep.py, the workflow passes user-supplied `--tasks` JSON fields (e.g., `intent`, `context_excerpt`, `reference`, `rubric`) into TaskRecord and then into skillopt_sleep_openclaw.py where those strings are embedded in LLM prompts via `attempt()`/`judge()`/`reflect()`.
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