
Result-to-Claim Gate
Judges whether experiment results support your claims and suggests the next step
- Stars
- 18,482
- Licence
- MIT
- Files
- 1 file
What it does
After experiments finish, this skill has the agent gather results from sources such as W&B, experiment logs and a research contract, then send them to a secondary Codex reviewer agent. That reviewer judges which claims the numbers support, which they don't, and what evidence is still missing. The agent then routes to a next action: pivot, run supplementary experiments, or confirm the claim. It also runs a deterministic check that cited values exist in the files before the judgment.
Great for
- Researchers deciding whether results justify claims before writing a paper or rebuttal
- ML practitioners who want an independent second opinion on ambiguous experiment outcomes
- Teams that run ablations and want a checkpoint before committing to conclusions
Skip it if
- Sanity-check runs or early debugging, since the skill is designed for main results (the reviewer call adds cost and delay)
- Situations needing a truly independent judgment: the file states the Codex review is same-family and marked provisional unless a different model family is used
- Projects without experiment logs or a stated intended claim, because the reviewer has little to evaluate
Try asking
- “Judge whether my latest ablation results support the claim that the new loss improves robustness”
- “Check my W&B run results against the research contract and tell me what evidence is still missing”
- “Decide whether I should pivot, add experiments, or confirm my main result before writing the paper”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
result-to-claim.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip result-to-claim.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip result-to-claim.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Write the intended claim in idea-stage/docs/research_contract.md before running experiments so the judgment has a clear target
- Keep EXPERIMENT_LOG.md and EXPERIMENT_TRACKER.md up to date, since the agent reads them as primary inputs
- Treat a 'provisional' or same-family verdict as a useful signal to verify, not as final proof
What's inside
- SKILL.md
Redistributed unmodified from wanshuiyin/Auto-claude-code-research-in-sleep under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.