
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)
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| Installs | 217 |
|---|---|
| repo stars | ★ 48 |
| Security audit | 2 / 3 scanners passed |
| Last updated | March 22, 2026 |
| Repository | collaborative-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
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 53. Verify Sources
For each promising source:
paper read <arxiv_id> <relevant section> # for academic papers
paper-search browse <url> # for web pagesPrefer 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.