Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
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83%
Does it follow best practices?
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Adds up to 20 points to the overall score
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. 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.
Skill-creator’s eval viewer path ingests user-authored free text at runtime by embedding `feedback.json` (which the reviewer can type into in the browser) and passing it back via `/api/feedback` in `eval-viewer/generate_review.py`.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The eval viewer includes an external JavaScript library that will be fetched and executed in the user's browser at runtime (https://cdn.sheetjs.com/xlsx-0.20.3/package/dist/xlsx.full.min.js), which is remote code execution triggered as part of the skill's viewer workflow.
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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.