dual-axis-skill-reviewer
Review skills in any project using a dual-axis method: (1) deterministic code-based checks (structure, scripts, tests, execution safety) and (2) LLM deep review findings. Use when you need reproducible quality scoring for `skills/*/SKILL.md`, want to gate merges with a score threshold (for example 90+), or need concrete improvement items for low-scoring skills. Works across projects via --project-root.
63
73%
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/dual-axis-skill-reviewer/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 required workflow generates an LLM prompt by reading the selected skill’s outsider-authored files at runtime (the repo’s `skills/*/SKILL.md`, plus inventory of `scripts/*.py`, `tests/test_*.py`, and `references/*.md` from the target project) and writes that prompt for the LLM to consume (Step 1 + `--emit-llm-prompt` → `build_llm_prompt()`), so injected free text from an untrusted skill repository can enter LLM context.
- Repository
- tradermonty/claude-trading-skills
- Commit
62a1635
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.