MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
A skill your agent uses when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing.
No licenceAuto-check: notes
Install Result To Claim
$ npx skills add AI4Scientist/nano-scientist --skill result-to-claim -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AI4Scientist/nano-scientist 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/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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 AI4Scientist/nano-scientist --skill result-to-claim -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AI4Scientist/nano-scientist result-to-claim --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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 AI4Scientist/nano-scientist --skill result-to-claim -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AI4Scientist/nano-scientist result-to-claim --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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/AI4Scientist/nano-scientist.git --path skills/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 AI4Scientist/nano-scientist --skill result-to-claim -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AI4Scientist/nano-scientist 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/AI4Scientist/nano-scientist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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 AI4Scientist/nano-scientist 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 AI4Scientist/nano-scientist --skill result-to-claim -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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 AI4Scientist/nano-scientist --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 AI4Scientist/nano-scientist result-to-claim --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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
- 128
- Used in
- 3 other repos
- Token cost
- ~2.3k tokens
- SKILL.md length
- 542 words
- Files
- 1
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing.
- Works in 6 steps: Collect Results → Codex Judgment → Parse and Normalize → …
- Experiments complete to judge what claims the results support
- SKILL.md covers Context: $ARGUMENTS, When to Use, Workflow and Rules, plus 1 more section
- Calls python3, git and ssh
What it does
Result To Claim is an agent skill from AI4Scientist/nano-scientist. 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.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Model Context Protocol. The repository describes itself as: An autonomous research agent that turns a topic into a peer-reviewed technical report.
When your agent uses it
- Experiments complete to judge what claims the results support
- What evidence is still missing
Example prompts
- “/result-to-claim”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash(*), Read, Grep, Glob, Write, Edit, mcp__codex__codex, mcp__codex__codex-reply
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Collect Results
- Codex Judgment
- Parse and Normalize
- 5: Check Experiment Integrity (if audit exists)
- Route Based on Verdict
- Update Research Wiki (if active)
What it can do on your machine
Read from SKILL.md and the folder at commit 7132192. 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(*)ReadGrepGlobWriteEditmcp__codex__codexmcp__codex__codex-reply
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python3gitssh
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git and 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 2.3k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 542 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, mcp__codex__codex, mcp__codex__codex-reply
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 542 words (~2,305 tokens).
“Experiments produce numbers; this gate decides what those numbers mean. Collect results from available sources, get a Codex judgment, then auto-route based on the verdict.”
- name
- result-to-claim
- allowed-tools
- Bash(*), Read, Grep, Glob, Write, Edit, mcp__codex__codex, mcp__codex__codex-reply
- argument-hint
- experiment-description-or-wandb-run
Files
Just SKILL.md in skills/result-to-claim of AI4Scientist/nano-scientist.
Open the folder on GitHubat commit 7132192
Used in 3 other repositories
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.
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 skillAI4Scientist/nano-scientist | 128 | 3 repos | ~2.3k | Automated safety check: Notes | None | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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A skill your agent uses when main results pass result-to-claim (claimsupported=yes or partial) and ablation studies are needed for paper submission.
Related
Works with
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 don't, and what evidence is still missing. Result To Claim is an agent skill from AI4Scientist/nano-scientist. Use when experiments complete to judge what claims the results support, what they don't, 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 evidence is still missing.
How do I install Result To Claim in Claude Code?
Run `npx skills add AI4Scientist/nano-scientist --skill result-to-claim -a claude-code`. Or copy the skill folder (skills/result-to-claim in AI4Scientist/nano-scientist) 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 AI4Scientist/nano-scientist --skill result-to-claim -a codex`. Or copy the skill folder (skills/result-to-claim in AI4Scientist/nano-scientist) 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 AI4Scientist/nano-scientist --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 (python3, git and ssh). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(*), Read, Grep, Glob, Write, Edit, mcp__codex__codex, mcp__codex__codex-reply.
Does Result To Claim access the network?
SKILL.md contains no URLs. Its commands use git and 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?
No licence was found for Result To Claim or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Result To Claim use?
About 2.3k tokens (SKILL.md is roughly 9.2k 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: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k 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?
AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on June 3, 2026.
Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.