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Fact Check

  • 217 installs
  • 48 repo stars
  • Updated March 22, 2026
  • collaborative-deep-research/agent-papers-cli

Fact-check is an agent skill that verifies claims via decomposed sub-claims, web and academic search, and cited Supported/Unsupported verdicts.

About

Fact-check is an agent skill from the agent-papers-cli stack that turns a single bold statement into an evidence-backed assessment solo builders can trust before they write landing copy, pitch decks, or technical posts. When a user asks to verify, fact-check, or confirm something, the skill first decomposes the claim into verifiable sub-claims, then runs structured paper-search queries across the open web and Semantic Scholar, drills into arXiv sections or browsed URLs for primary material, assigns one of four verdicts per sub-claim, and finishes with an overall assessment plus cited URLs. It fits indie researchers who cannot afford a human fact desk but still need to avoid publishing hallucinated statistics or misquoted papers. The allowed-tools surface (Bash, Read, Glob, Grep, Write) implies network-backed CLI search rather than guesswork from model weights. Use it in early Idea research, during Validate when testing positioning claims, or in Launch/Grow when auditing public-facing statements. It is not a legal compliance review or real-time news wire—latency and coverage depend on what paper-search returns.

  • Five-step workflow: Decompose → Search → Verify Sources → Assess → Report
  • paper-search against Google web, Semantic Scholar snippets, and paper lists (--limit 5)
  • paper read and paper-search browse for primary-source verification
  • Four verdict buckets: Supported, Partially supported, Unsupported, Uncertain
  • Mandatory citation rule: no verdict without specific sources and URLs

Fact Check by the numbers

  • 217 all-time installs (skills.sh)
  • Ranked #2,765 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Jul 29, 2026 (Skillselion catalog sync)
npx skills add https://github.com/collaborative-deep-research/agent-papers-cli --skill fact-check

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Listed on Skillselion
Installs217
repo stars48
Security audit2 / 3 scanners passed
Last updatedMarch 22, 2026
Repositorycollaborative-deep-research/agent-papers-cli

What it does

Verify a user claim by decomposing it, searching web and Semantic Scholar, reading primary sources, and returning cited verdicts per sub-claim.

Who is it for?

Best when you're validating technical, scientific, or market statements before shipping content, specs, or investor narratives.

Skip if: Situations requiring certified legal review, classified sources, or instant breaking-news confirmation without search tooling.

When should I use this skill?

The user asks to verify, fact-check, or confirm a statement (argument-hint: claim to verify).

What you get

You receive a structured report with per sub-claim verdicts, an overall assessment, and URLs to the sources your agent inspected.

  • Sub-claim list with Supported/Partially supported/Unsupported/Uncertain verdicts
  • Overall assessment with cited URLs

By the numbers

  • 5-step fact-check workflow (Decompose through Report)
  • 4 verdict categories per sub-claim
  • Semantic Scholar paper search default --limit 5

Files

SKILL.mdMarkdownGitHub ↗

Fact-check the following claim: "$ARGUMENTS"

1. Decompose

Break the claim into specific, verifiable sub-claims. List them explicitly before searching.

2. Search for Evidence

For each sub-claim:

paper-search google web "<sub-claim as question>"
paper-search semanticscholar snippets "<sub-claim keywords>"
paper-search semanticscholar papers "<sub-claim keywords>" --limit 5

3. Verify Sources

For each promising source:

paper read <arxiv_id> <relevant section>   # for academic papers
paper-search browse <url>                   # for web pages

Prefer primary sources (original papers, official data) over secondary reports.

4. Assess

For each sub-claim, assign a verdict:

  • Supported: strong evidence from multiple reliable sources
  • Partially supported: some evidence, with caveats
  • Unsupported: no evidence found, or evidence contradicts the claim
  • Uncertain: insufficient evidence to judge

5. Report

Present:

  • The original claim
  • Each sub-claim with its verdict and supporting evidence
  • An overall assessment
  • All sources cited with URLs

Guidelines

  • Always cite specific sources — never state a verdict without evidence.
  • Distinguish between "no evidence found" and "evidence contradicts."
  • Note the quality and recency of sources.
  • If a claim is about a specific paper, read that paper directly rather than relying on summaries.

Related skills

How it compares

Structured evidence workflow with academic CLI search—not a generic web-scrape skill or single-shot LLM 'true/false' answer.

FAQ

Who is fact-check for?

founders, technical writers, and agent users who need cited verification of specific statements using web and Semantic Scholar sources.

When should I use fact-check?

In Idea/research before trusting a stat; in Validate when testing positioning; in Launch/Grow when confirming claims in SEO copy or release notes—the trigger is 'verify, fact-check, or confirm' a statement.

Is fact-check safe to install?

It uses Bash and network search tools—check the Security Audits panel on this page and restrict credentials before granting shell on production machines.

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