Analyze Results
Computes statistics and comparison tables from ML experiment results.
Test report
- Verdict
- Works with setup
- Score
- Tested
- Jul 12, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Aug 10, 2026 · 3e80088
Tested on a 3-config x 3-seed accuracy/loss sweep with one planted diverged run (config_B seed 2 at 0.400 vs 0.78/0.79 siblings). Verbatim install (git clone + cp) works cleanly; the skill is a single self-contained prompt-workflow SKILL.md with no scripts, API keys, or external deps. In the A/B, both the skill arm and the plain base arm correctly flagged the outlier, computed correct deltas vs baseline, and surfaced the config_A-vs-config_B ranking caveat with equal statistical soundness and presentation, so the skill added no measurable lift over an unskilled agent on this task.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 3/5
- Output vs. baseline 5/10
- Docs & honesty 4/5
What Analyze Results does
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
How to install Analyze Results
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
cd Auto-claude-code-research-in-sleep
mkdir -p ~/.claude/skills
cp -r skills/analyze-results ~/.claude/skills/analyze-results
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Analyze Results
-
/analyze-resultsComputes statistics and comparison tables from ML experiment results.
It also activates on plain-language prompts like these:
-
Compare these experiment results and summarize findings -
Analyze the results from my last training run -
Generate a comparison table across these model runs
Frequently asked questions
- Is the Analyze Results skill free?
- Yes. The skill itself is free from wanshuiyin/Auto-claude-code-research-in-sleep. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Analyze Results work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 12, 2026. Verdict: Works with setup. Tested on a 3-config x 3-seed accuracy/loss sweep with one planted diverged run (config_B seed 2 at 0.400 vs 0.78/0.79 siblings). Verbatim install (git clone + cp) works cleanly; the skill is a single self-contained prompt-workflow SKILL.md with no scripts, API keys, or external deps. In the A/B, both the skill arm and the plain base arm correctly flagged the outlier, computed correct deltas vs baseline, and surfaced the config_A-vs-config_B ranking caveat with equal statistical soundness and presentation, so the skill added no measurable lift over an unskilled agent on this task.
- What is the Analyze Results SkillProof Score?
- 6.8/10 — installs cleanly 5/5, triggers reliably 3/5, output vs. baseline 5/10, docs & honesty 4/5.
- How do I install Analyze Results?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Analyze Results with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.