fact-checking

fact-checking is a skill for Claude Code, Codex from bradygaster/squad. It costs 36 tokens per session (469 once invoked), scanned A, a copy of fact-checking, MIT.

A review method for checking whether claims, references, links, package names, and API endpoints are supported by evidence. It also provides a consistent format for reporting verified, uncertain, or disproved findings.

In plain words
What is it for?
Use it to fact-check technical writing, validate references and API endpoints, and perform structured quality checks on another agent’s work.
Why use it?
It reduces the risk of repeating false information or delivering work with unchecked details. Counter-hypothesis testing helps expose explanations or claims that may not hold up.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to fact-check technical writing, validate references and API endpoints, and perform structured quality checks on another agent’s work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bradygaster/squad/fact-checking
About the project

bradygaster/squad is a tool that creates a human-directed team of AI development agents inside a project repository through GitHub Copilot. Developers use it to delegate work among persistent specialists such as frontend, backend, testing, and lead agents while retaining responsibility for decisions and review. The catalogue entries are the skills, agents, and instructions that define and coordinate those team members.

bradygaster/squad · 3,295 stars · on GitHub · bradygaster.github.io

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add bradygaster/squad --skill fact-checking
Clone the repo
git clone --depth 1 https://github.com/bradygaster/squad

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fact-checking

README.md
[![agentmods](https://agentmods.dev/badge/skills/bradygaster/squad/fact-checking/github.svg)](https://agentmods.dev/skills/bradygaster/squad/fact-checking)
Your own site
<a href="https://agentmods.dev/skills/bradygaster/squad/fact-checking"><img src="https://agentmods.dev/badge/skills/bradygaster/squad/fact-checking/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fact-checking

Your own site · 80×15
<a href="https://agentmods.dev/skills/bradygaster/squad/fact-checking"><img src="https://agentmods.dev/badge/skills/bradygaster/squad/fact-checking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 469 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00469
Opus 5.5 $0.00014 $0.00188
Sonnet 5.5 $0.00007 $0.00094
Haiku 4.5 $0.00004 $0.00047

Measured 1mo ago against content hash f03e598d6790, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fact-checking scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to fact-checking — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.squad-templates/skills/fact-checking/SKILL.md · 61 lines

What it actually says

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.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 61 lines · 36 tokens per session scan A f03e598d6790

Subscribe to this mod's changes

fact-checking is a skill published in the GitHub repository bradygaster/squad (3,295 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 469 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to fact-checking, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

ponytail-review

Code review focused exclusively on over-engineering. Finds what to delete: reinvented standard library, unneeded dependencies, speculative abstractions, dead flexibility. One line per finding: location, what to cut, what replaces it. Use when the user says "review for over-engineering", "what can we delete", "is this…

dmae97/omk · 100 tokens

ponytail-audit

Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find…

dmae97/omk · 105 tokens

omk-code-review

Review implementation changes against contracts and real failure modes, preserve minimal patches, and verify regressions without confusing test counts, generated code volume or CI claims with production correctness.

dmae97/omk · 38 tokens

ralphctl-code-review-and-quality

Multi-phase code-quality skill — primary frame for the evaluator role in Execute, the architecture axis in Plan, and correctness/readability in Refine. Multi-axis code review with severity vocabulary. Use when acting as the evaluator assessing a generator's output, and when reviewing any change before signalling…

lukas-grigis/ralphctl · 76 tokens

dos-verify-done-claims

Before accepting an agent's 'done / shipped / fixed' claim, verify it against ground truth (git ancestry + the commit's own diff) using the DOS kernel's dos verify and dos commit-audit — never the agent's own narration.

anthony-chaudhary/dos-kernel · 61 tokens

ce-code-review

Structured code review for bugs, regressions, tests, and standards. Use before PRs or when asked for review; interactive mode can fix locally, while mode:agent reports only for pipeline callers.

elleryfamilia/loadout · 44 tokens