evals-recon
From the author
Audit existing eval coverage — gaps, metric validity, benchmark leakage, dataset freshness. Use when asked "what eval coverage do we have", "audit our evals", or "check for benchmark leakage".
Install
npx skills add tonone-ai/tonone --skill evals-recon -a claude-code
Installs to .claude/skills/evals-recon/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 83
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Similar skills
Closest to this one by what they do and when they are used.
- score-recontonone-ai/tononeAudit existing model evaluation code — find metric misuse, missing CIs, and evaluation leakage. Use when asked to "audit our model evaluation", "find metric misuse", or "check for evaluation leakage".Engineering★ 76
- mark-recontonone-ai/tononeAudit existing brand assets and usage — find inconsistencies, off-brand applications, and gaps. Use when asked to "audit our brand assets", "find off-brand usage", or "check brand consistency".Other★ 76
- eval-recontonone-ai/tononeAudit existing experimentation infrastructure and past experiments for methodology issues. Use when asked to "audit our experiments", "is our experimentation sound", or "review past test methodology".Testing★ 76
- resp-recontonone-ai/tononeAudit existing incident response capability — playbook coverage, tooling gaps, and readiness. Use when asked to "audit our incident response", "assess IR readiness", or "find playbook coverage gaps".Other★ 76
- patch-recontonone-ai/tononeAudit existing vulnerability management — find SLA gaps, missing tiers, and process failures. Use when asked to "audit our vulnerability management", "find patch SLA gaps", or "are we patching fast enough".Security★ 76
- drift-recontonone-ai/tononeAudit existing ML monitoring — find gaps in drift coverage and missing alerts. Use when asked to "audit our ML monitoring", "are our models monitored", or "find drift coverage gaps".Other★ 76
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