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.
89
87%
Does it follow best practices?
Impact
88%
1.87xAverage score across 3 eval scenarios
Low
Low-risk findings worth noting
The canonical home for this skill is skill-creator in anthropics/skills
Low
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.
The required workflow includes the “Read the feedback”/“What the user sees in the viewer” loop: `eval-viewer/generate_review.py` embeds prior runs’ files (including prompt text) into the review page, collects outsider-authored free-form feedback from the human user into `feedback.json`, and that `feedback.json` is then read by the next LLM step for improvement iteration (free-text is explicitly user-entered and thus not authored by the system/skill itself).
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.