← All skills

result-to-claim

95 / 100 · Low risk

Fine to try.

By brycewang-stanford/Auto-Empirical-Research-Skills (GitHub) · research · 5,016 stars · scanned at commit 8684584

Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. Codex MCP evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.

Works with any agent that supports SKILL.md skills.

What this skill can do

Other copies in this repository

brycewang-stanford/Auto-Empirical-Research-Skills has 1 more folder with a skill named result-to-claim. This page shows the lowest-scoring copy.

• skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim 95/100 · Low risk

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'result-to-claim' ] || [ -L ~/.agents/skills/'result-to-claim' ]; then echo 'A skill folder named result-to-claim already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills' "$d" && git -C "$d" checkout --quiet '8684584e7d1127940f018157d2c579974fae8f79' -- 'skills/42-wanshuiyin-ARIS/skills/result-to-claim' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/42-wanshuiyin-ARIS/skills/result-to-claim' ~/.agents/skills/'result-to-claim' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'result-to-claim' ~/.claude/skills/'result-to-claim' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

Badge for your README

The badge for brycewang-stanford/Auto-Empirical-Research-Skills shows the score of its lowest-scoring skill.

[![SkillTrust](https://zalavijaysinh.github.io/skilltrust/badges/brycewang-stanford/Auto-Empirical-Research-Skills.svg)](https://zalavijaysinh.github.io/skilltrust/repos/brycewang-stanford/Auto-Empirical-Research-Skills/)

Score history