Agent skill

Fact Checking

by bradygaster in bradygaster/squad

Review and validate claims using counter-hypothesis testing.

MITAuto-check passedResearch & Science

Install Fact Checking

skills CLI
$ npx skills add bradygaster/squad --skill fact-checking -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bradygaster/squad fact-checking --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bradygaster/squad.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.squad-templates/skills/fact-checking .claude/skills/fact-checking && rm -rf skills-src

Use ~/.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/

Facts

Skill name
fact-checking
GitHub stars
3.3k
Token cost
~503 tokens
SKILL.md length
134 words
Files
1
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

Review and validate claims using counter-hypothesis testing.

  • Works in 4 steps: Ask: "What evidence supports this? What… → Generate counter-hypotheses and test… → Verify URLs, package names, API… → …
  • Verifying technical content
  • SKILL.md covers Context and Pattern
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Fact Checking is an agent skill from bradygaster/squad. Review and validate claims using counter-hypothesis testing. Use when verifying technical content, checking references, validating API endpoints, or performing quality assurance on deliverables.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires access to external references and APIs

It sits in Research & Science, covering Fact-checking and source verification, REST APIs and QA and bug reports. The repository describes itself as: Squad: AI agent teams for any project. The licence is MIT.

When your agent uses it

  • Verifying technical content
  • Checking references
  • Validating API endpoints
  • Performing quality assurance on deliverables

Example prompts

  • “/fact-checking”

Requirements

  • Compatibility (from SKILL.md): Requires access to external references and APIs

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Ask: "What evidence supports this? What would disprove it?"
  2. Generate counter-hypotheses and test them against available data
  3. Verify URLs, package names, API endpoints, and external references actually exist
  4. Flag confidence levels: ✅ Verified, ⚠️ Unverified, ❌ Contradicted

What it can do on your machine

Read from SKILL.md and the folder at commit d2364df. 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.

  • Compatibility

    Requires access to external references and APIs

    From compatibility in the SKILL.md frontmatter.

Context cost

Fact Checking loads about 503 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 134 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~503

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 bradygaster/squad at commit d2364df, republished under its MIT licence (© bradygaster). 134 words, ~503 tokens.

Download SKILL.mdSave it as .claude/skills/fact-checking/SKILL.md (or your agent's skills folder).
name
fact-checking
description
Review and validate claims using counter-hypothesis testing. Use when verifying technical content, checking references, validating API endpoints, or performing quality assurance on deliverables.
compatibility
Requires access to external references and APIs
license
MIT
metadata.author
squad
metadata.version
1.0.0
metadata.domain
quality, verification
metadata.confidence
low
metadata.last_validated
2026-03-01

Skill: Fact Checking

Context

Codifies the challenger agent review output format and methodology so any agent performing fact-checking or review produces consistent, structured output.

Pattern

Review Methodology

For every claim or deliverable under review:

  1. Ask: "What evidence supports this? What would disprove it?"
  2. Generate counter-hypotheses and test them against available data
  3. Verify URLs, package names, API endpoints, and external references actually exist
  4. Flag confidence levels: ✅ Verified, ⚠️ Unverified, ❌ Contradicted
Review Output Format

When reviewing another agent's work, use this template:

### Fact Check — {deliverable name}
**Claims verified:** {count}
**Issues found:** {count}

| # | Claim | Status | Evidence/Notes |
|---|-------|--------|---------------|
| 1 | {claim} | ✅/⚠️/❌ | {supporting or contradicting evidence} |

**Counter-hypotheses tested:**
- {alternative explanation + result}

**Verdict:** {PASS / PASS WITH NOTES / NEEDS REVISION}
Confidence Levels
  • ✅ Verified — evidence confirms the claim
  • ⚠️ Unverified — cannot confirm or deny; suggest verification method
  • ❌ Contradicted — evidence disproves the claim
Ceremony Integration

Auto-trigger this skill before any architecture decision, or when an agent claim contains superlatives or percentage thresholds (e.g., "saves 75%", "always", "never"). The coordinator spawns the challenger agent with:

Challenger — fact-check {agent}'s claim: "{claim}"
Cite evidence for every verdict. Max 3 investigation cycles.

© bradygaster, 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 .squad-templates/skills/fact-checking of bradygaster/squad.

Open the folder on GitHubat commit d2364df

Compare with similar skills

Fact Checking 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.

Fact Checking compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fact Checking this skillbradygaster/squad3.3k—~503Automated safety check: PassMIT
Handbook Paneldanielmeppiel/agentic-sdlc-handbook157—~1.2kAutomated safety check: PassCustom licence
Use Yaakmountain-loop/yaak19k—~1.9kAutomated safety check: PassMIT
Fleet SupervisorApra-Labs/apra-fleet101—~3.6kAutomated safety check: PassCustom licence
Sciatlas Quick Paper Searchzjunlp/SciAtlas160—~1.3kAutomated safety check: PassMIT
Viewer Smokeiopsystems/rezolus275—~849Automated safety check: PassCustom licence

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Questions about Fact Checking

What does Fact Checking do?

Review and validate claims using counter-hypothesis testing. Fact Checking is an agent skill from bradygaster/squad. Review and validate claims using counter-hypothesis testing.

When should I use Fact Checking?

Fact Checking fits situations like: verifying technical content; checking references; validating API endpoints; performing quality assurance on deliverables.

How do I install Fact Checking in Claude Code?

Run `npx skills add bradygaster/squad --skill fact-checking -a claude-code`. Or copy the skill folder (.squad-templates/skills/fact-checking in bradygaster/squad) into .claude/skills/fact-checking in your project. Claude Code loads it when a task matches its description.

How do I install Fact Checking in Codex?

Run `npx skills add bradygaster/squad --skill fact-checking -a codex`. Or copy the skill folder (.squad-templates/skills/fact-checking in bradygaster/squad) into .agents/skills/fact-checking in your project. Codex loads it when a task matches its description.

Can I use Fact Checking 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 bradygaster/squad --skill fact-checking -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fact-checking, .gemini/skills/fact-checking, .github/skills/fact-checking and .opencode/skills/fact-checking in your project.

What does Fact Checking need to run?

SKILL.md names no scripts, command-line tools or credentials: Fact Checking is instructions for the agent only. Compatibility (from SKILL.md): Requires access to external references and APIs.

Does Fact Checking 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 Fact Checking 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 Fact Checking use?

Fact Checking is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fact Checking use?

About 503 tokens (SKILL.md is roughly 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 Fact Checking?

Skills that share tags, products or a category with Fact Checking: Handbook Panel (danielmeppiel/agentic-sdlc-handbook, 157 stars), Use Yaak (mountain-loop/yaak, 19k stars), Fleet Supervisor (Apra-Labs/apra-fleet, 101 stars) and Sciatlas Quick Paper Search (zjunlp/SciAtlas, 160 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fact Checking?

bradygaster (a GitHub user) maintains it in bradygaster/squad, which has 3,256 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 6, 2026.

Source: bradygaster/squad on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.