inno-experiment-dev
Creates implementation plan, writes project code with judge feedback loop, and submits final experiment run. Use after code-survey in both Idea and Plan branches.
65
77%
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Low
Low-risk findings worth noting
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tessl review fix ./skills/inno-experiment-dev/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
The workflow feeds outsider-authored free text into LLM prompts via the runtime variables `survey_res`, `references`, `code_survey_res`, `prepare_res`, which are sourced from other pipeline components/users and then embedded directly into `build_plan_query.md`, `build_ml_dev_query.md`, `build_judge_query.md`, and `build_iteration_query.md` (e.g., `messages = [{"role":"user","content": plan_query}]`).
- Repository
- OpenLAIR/dr-claw
- Commit
6da7f7c
- Audited
- Security analysis
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