Individual skill
results-analysis
This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions interpreting experiment data with rigorous statistics and visualization. It focuses on strict analysis bundles, not Results-section prose.
skills/results-analysis/SKILL.md
Source commit d394fb599ed9e6ea2212a9e6daa864345fe97a26
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 6,019
- Repository last updated
- Oct 19, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-research Repository topic
- ai-agents Repository topic
- claude Repository topic
- claude-code Repository topic
- developer-tools Repository topic
- mcp Repository topic
- paper-writing Repository topic
- zotero Repository topic
- codex-cli Repository topic
- openai-codex Repository topic
- research Declared skill tag
- analysis Declared skill tag
- statistics Declared skill tag
- visualization Declared skill tag
- scientific-reporting Declared skill tag
- data Derived category
- research Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 9,498 bytesUSAGE.mddoc · 2,938 bytesexamples/example-analysis-report.mddoc · 2,208 bytesexamples/example-figure-catalog.mddoc · 1,371 bytesexamples/example-stats-appendix.mddoc · 1,244 bytesreferences/analysis-depth.mddoc · 844 bytesreferences/common-pitfalls.mddoc · 998 bytesreferences/figure-interpretation.mddoc · 939 bytesreferences/statistical-methods.mddoc · 16,437 bytesreferences/statistical-reporting.mddoc · 1,082 bytesreferences/visualization-best-practices.mddoc · 6,589 bytes
Read excerpt
# Results Analysis
Run **strict, evidence-first experimental analysis** for ML/AI research.
Use this skill to produce a **strict analysis bundle**:
- `analysis-report.md`
- `stats-appendix.md`
- `figure-catalog.md`
- `figures/`
When the user asks for review, audit, no-write, dry-run, or when inputs are incomplete, use **read-only audit mode** instead of producing files or figures. In that mode, output only valid/invalid statistics, blockers, claim candidates, and what evidence is missing. If invoked by `/analyze-results`, the command layer may write a blocker summary, but this skill should not create figures, reports, or polished conclusions from incomplete evidence.
Do **not** use this skill to draft a paper `Results` section or a full experiment wrap-up report. Those belong to `ml-paper-writing` or `results-report`.
