Claims
ruvnet/ruflo
Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.
Agent skill
Result To Claim
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when experiments complete to judge what claims the results support, what they do not, and what evidence is still missing.
Custom licenceAuto-check: notes
Install Result To Claim
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill result-to-claim -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills result-to-claim --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim .claude/skills/result-to-claim && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "result-to-claim" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim into .claude/skills/result-to-claim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "result-to-claim", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claimType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill result-to-claim -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills result-to-claim --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim .agents/skills/result-to-claim && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "result-to-claim" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim into .agents/skills/result-to-claim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "result-to-claim", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill result-to-claim -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills result-to-claim --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim .cursor/skills/result-to-claim && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "result-to-claim" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim into .cursor/skills/result-to-claim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "result-to-claim", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill result-to-claim -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills result-to-claim --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim .gemini/skills/result-to-claim && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "result-to-claim" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim into .gemini/skills/result-to-claim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "result-to-claim", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills result-to-claimInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill result-to-claim -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim .github/skills/result-to-claim && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "result-to-claim" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim into .github/skills/result-to-claim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "result-to-claim", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill result-to-claim -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills result-to-claim --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim .opencode/skills/result-to-claim && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "result-to-claim" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim into .opencode/skills/result-to-claim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "result-to-claim", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
result-to-claim- GitHub stars
- 4.6k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 482 words
- Files
- 1
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when experiments complete to judge what claims the results support, what they do not, and what evidence is still missing.
- Works in 4 steps: Collect Results → Secondary Codex Judgment → Parse and Normalize → …
- Experiments complete to judge what claims the results support
- SKILL.md covers Context: $ARGUMENTS, Constants, When to Use and Workflow, plus 1 more section
- Calls ssh
What it does
Result To Claim is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when experiments complete to judge what claims the results support, what they do not, and what evidence is still missing. A secondary Codex agent evaluates results against intended claims and routes to the next action (pivot, supplement, or confirm). Use after experiments finish - before writing the paper or running ablations.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
When your agent uses it
- Experiments complete to judge what claims the results support
- What they do not
- What evidence is still missing
Example prompts
- “/result-to-claim”
Requirements
- Pre-approved tools (allowed-tools): Bash(*), Read, Grep, Glob, Write, Edit, Agent
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Collect Results
- Secondary Codex Judgment
- Parse and Normalize
- Route Based on Verdict
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadGrepGlobWriteEditAgent
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
ssh
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use ssh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Result To Claim loads about 1.3k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 482 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash(*), Read, Grep, Glob, Write, Edit, Agent
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 482 words (~1,327 tokens).
“Experiments produce numbers; this gate decides what those numbers mean. Collect results from available sources, get an objective judgment, then route based on the verdict.”
- name
- result-to-claim
- allowed-tools
- Bash(*), Read, Grep, Glob, Write, Edit, Agent
Files
Just SKILL.md in skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Result To Claim next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Result To Claim this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~1.3k | Automated safety check: Notes | Custom licence | |
| Claimsruvnet/ruflo | 74k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Finding ExperimentsPostHog/posthog | 40k | — | ~826 | Automated safety check: Pass | Custom licence | |
| ExperimentsArize-ai/phoenix | 12k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Scroll Experiencesickn33/agentic-awesome-skills | 47k | 2 repos | ~534 | Automated safety check: Pass | MIT | |
| Webgl Experiencenexu-io/open-design | 100k | — | ~903 | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Finding Experiments
PostHog/posthog
Resolves a PostHog experiment reference from natural language to a concrete experiment ID by browsing experiment-list (not feature-flag tools), with disambiguation when multiple experiments match.
Experiments
Arize-ai/phoenix
Run, read, and compare dataset-backed experiments to find evidence that a prompt or pipeline is improving.
Scroll Experience
sickn33/agentic-awesome-skills
Expert in building immersive scroll-driven experiences - parallax storytelling, scroll animations, interactive narratives, and cinematic web experiences.
Webgl Experience
nexu-io/open-design
A full-screen, real-time WebGL/WebGL2 experience — animated shaders, 3D scenes, generative visuals, particle fields — rendered live on the GPU with a typographic overlay.
- Official
Creating Experiments
PostHog/posthog
Guides agents through experiment creation: reading the project's setup with experiment-setup-context, defining the hypothesis, configuring rollout and bucketing, setting up analytics and running…
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Questions about Result To Claim
What does Result To Claim do?
A skill your agent uses when experiments complete to judge what claims the results support, what they do not, and what evidence is still missing. Result To Claim is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when experiments complete to judge what claims the results support, what they do not, and what evidence is still missing.
When should I use Result To Claim?
Result To Claim fits situations like: experiments complete to judge what claims the results support; what they do not; what evidence is still missing.
How do I install Result To Claim in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill result-to-claim -a claude-code`. Or copy the skill folder (skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/result-to-claim in your project. Claude Code loads it when a task matches its description.
How do I install Result To Claim in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill result-to-claim -a codex`. Or copy the skill folder (skills/42-wanshuiyin-ARIS/skills/skills-codex/result-to-claim in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/result-to-claim in your project. Codex loads it when a task matches its description.
Can I use Result To Claim in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill result-to-claim -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/result-to-claim, .gemini/skills/result-to-claim, .github/skills/result-to-claim and .opencode/skills/result-to-claim in your project.
What does Result To Claim need to run?
Going by SKILL.md and its folder, Result To Claim needs the command-line tools its instructions call (ssh). Its frontmatter pre-approves these tools: Bash(*), Read, Grep, Glob, Write, Edit, Agent.
Does Result To Claim access the network?
SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Result To Claim safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Result To Claim use?
Result To Claim has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Result To Claim use?
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Result To Claim?
Skills that share tags, products or a category with Result To Claim: Claims (ruvnet/ruflo, 74k stars), Finding Experiments (PostHog/posthog, 40k stars), Experiments (Arize-ai/phoenix, 12k stars) and Scroll Experience (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Result To Claim?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.