eval-recon
From the author
Audit 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".
Install
npx skills add tonone-ai/tonone --skill eval-recon -a claude-code
Installs to .claude/skills/eval-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
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- evals-recontonone-ai/tononeAudit 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".Other★ 76
- tune-recontonone-ai/tononeAudit existing fine-tuning or prompt engineering work — find quality gaps and optimization opportunities. Use when asked to "audit our fine-tuning work", "find prompt engineering gaps", or "look for optimization opportunities".Other★ 76
- 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
- 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
- chaos-recontonone-ai/tononeAudit existing resilience — identify untested failure modes and chaos engineering gaps. Use when asked "how resilient are we", "what failure modes are untested", or "find our chaos engineering gaps".Other★ 76
- rank-recontonone-ai/tononeAudit ranking quality — metric trends, failure modes, dataset coverage, reranker performance. Use when asked to "audit our ranking quality", "find search relevance failures", or "review reranker performance".Engineering★ 76
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