Summary
Scaffolds evaluation suites for the Axiom AI SDK by generating eval files, scorers, flag schemas, and config from natural language descriptions. It reads your AI code first, traces inputs and outputs, then creates colocated .eval.ts files with at least two scorers per capability (correctness plus quality checks). The philosophy is solid: evals are tests for AI, scorers are assertions, flags are variables. It knows the difference between reference-based and reference-free scorers and will pick the right pattern based on whether you're returning categories, free text, structured objects, or tool calls. Use this when you need to prove your AI features still work after every change.
Install to Claude Code
npx -y skills add axiomhq/skills --skill writing-evals --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
