Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
A skill your agent uses when presenting information from external sources, citing research, or answering factual questions.
Install Source Evaluation
$ npx skills add aiming-lab/MetaClaw --skill source-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiming-lab/MetaClaw source-evaluation --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/aiming-lab/MetaClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/memory_data/skills/source-evaluation .claude/skills/source-evaluation && 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 "source-evaluation" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/source-evaluation into .claude/skills/source-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "source-evaluation", 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/aiming-lab/MetaClaw/tree/main/memory_data/skills/source-evaluationType 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 aiming-lab/MetaClaw --skill source-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiming-lab/MetaClaw source-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/memory_data/skills/source-evaluation .agents/skills/source-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "source-evaluation" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/source-evaluation into .agents/skills/source-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "source-evaluation", 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 aiming-lab/MetaClaw --skill source-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiming-lab/MetaClaw source-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/memory_data/skills/source-evaluation .cursor/skills/source-evaluation && 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 "source-evaluation" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/source-evaluation into .cursor/skills/source-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "source-evaluation", 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/aiming-lab/MetaClaw.git --path memory_data/skills/source-evaluation--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 aiming-lab/MetaClaw --skill source-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiming-lab/MetaClaw source-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/memory_data/skills/source-evaluation .gemini/skills/source-evaluation && 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 "source-evaluation" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/source-evaluation into .gemini/skills/source-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "source-evaluation", 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 aiming-lab/MetaClaw source-evaluationInstalls 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 aiming-lab/MetaClaw --skill source-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/memory_data/skills/source-evaluation .github/skills/source-evaluation && 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 "source-evaluation" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/source-evaluation into .github/skills/source-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "source-evaluation", 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 aiming-lab/MetaClaw --skill source-evaluation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiming-lab/MetaClaw source-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/memory_data/skills/source-evaluation .opencode/skills/source-evaluation && 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 "source-evaluation" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/source-evaluation into .opencode/skills/source-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "source-evaluation", 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
source-evaluation- GitHub stars
- 3.5k
- Token cost
- ~220 tokens
- SKILL.md length
- 79 words
- Files
- 1
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when presenting information from external sources, citing research, or answering factual questions.
- Presenting information from external sources
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Citing research
- Answering factual questions
What it does
Source Evaluation is an agent skill from aiming-lab/MetaClaw. Use this skill when presenting information from external sources, citing research, or answering factual questions. Assess source credibility and recency before relying on it.
Its SKILL.md is about 220 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. The repository describes itself as: 🦞 Just talk to your agent — it learns and EVOLVES 🧬. The licence is MIT.
When your agent uses it
- Presenting information from external sources
- Citing research
- Answering factual questions
Example prompts
- “/source-evaluation”
What it can do on your machine
Read from SKILL.md and the folder at commit 922caf3. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Source Evaluation loads about 220 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 79 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 passed
The automated check found no risky patterns in SKILL.md.
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
The full file from aiming-lab/MetaClaw at commit 922caf3, republished under its MIT licence (© aiming-lab). 79 words, ~220 tokens.
Download SKILL.mdSave it as
.claude/skills/source-evaluation/SKILL.md (or your agent's skills folder).- name
- source-evaluation
- description
- Use this skill when presenting information from external sources, citing research, or answering factual questions. Assess source credibility and recency before relying on it.
- category
- research
Source Evaluation
CRAAP criteria (quick version):
- Currency: Is the source recent enough for this topic? (Technology: < 2 years; science: check if superseded)
- Relevance: Does it directly address the question?
- Authority: Is the author or organization credible in this domain?
- Accuracy: Is it peer-reviewed, cited, or verifiable from other sources?
- Purpose: Is it informational vs. promotional vs. opinion?
Red flags: anonymous authorship, no citations, sensational language, single-source claims.
Best practice: triangulate important facts across 2–3 independent sources before asserting them.
© aiming-lab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in memory_data/skills/source-evaluation of aiming-lab/MetaClaw.
Open the folder on GitHubat commit 922caf3
Compare with similar skills
Source Evaluation 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 |
|---|---|---|---|---|---|---|
| Source Evaluation this skillaiming-lab/MetaClaw | 3.5k | — | ~220 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 13 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Source Evaluation
What does Source Evaluation do?
A skill your agent uses when presenting information from external sources, citing research, or answering factual questions. Source Evaluation is an agent skill from aiming-lab/MetaClaw. Use this skill when presenting information from external sources, citing research, or answering factual questions.
When should I use Source Evaluation?
Source Evaluation fits situations like: presenting information from external sources; citing research; answering factual questions.
How do I install Source Evaluation in Claude Code?
Run `npx skills add aiming-lab/MetaClaw --skill source-evaluation -a claude-code`. Or copy the skill folder (memory_data/skills/source-evaluation in aiming-lab/MetaClaw) into .claude/skills/source-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Source Evaluation in Codex?
Run `npx skills add aiming-lab/MetaClaw --skill source-evaluation -a codex`. Or copy the skill folder (memory_data/skills/source-evaluation in aiming-lab/MetaClaw) into .agents/skills/source-evaluation in your project. Codex loads it when a task matches its description.
Can I use Source Evaluation 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 aiming-lab/MetaClaw --skill source-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/source-evaluation, .gemini/skills/source-evaluation, .github/skills/source-evaluation and .opencode/skills/source-evaluation in your project.
What does Source Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Source Evaluation is instructions for the agent only.
Does Source Evaluation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Source Evaluation safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Source Evaluation use?
Source Evaluation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Source Evaluation use?
About 220 tokens (SKILL.md is roughly 880 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 Source Evaluation?
Skills that share tags, products or a category with Source Evaluation: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Source Evaluation?
aiming-lab (a GitHub organization) maintains it in aiming-lab/MetaClaw, which has 3,459 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on June 7, 2026.
Source: aiming-lab/MetaClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.