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Research48k · #4494

verify-citations

Helps your agent check if citations and references in a document are real. It's useful for ensuring accuracy in reports and articles.

What it does

Checks if citations in a document point to real sources and if the information is correct. It verifies if numbers match and if claims are supported.

When to use it

  • ✓Before submitting a report or article.
  • ✓When reviewing AI-generated text.
  • ✓To check data accuracy in important documents.

Example of what to ask your AI

“Verify the citations in this report.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/verify-citations/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/verify-citations/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

You send the document (or paste text). The tool checks each citation and number, comparing them with original sources or the web, and tells you what's correct and what needs attention.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill verify-citations

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/verify-citations/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Citation Verification

Verify that citations in a document actually resolve and support the claims they're attached to. Uses the Stipple API (free anonymous tier, no signup) for citation resolution, arithmetic recomputation, and unsupported-claim detection.

When to use

  • Before submitting or publishing a research report, tender response, or whitepaper
  • Reviewing an LLM-generated document (LLM citations are plausibly-formatted and frequently wrong)
  • Due diligence on third-party reports
  • Academic reference checking

Instructions

  1. Get the document. Ask the user for a URL to the report, or a local file path (PDF, DOCX, Markdown). If the user pastes text directly, skip to step 3 with text input.

  2. Run verification. POST the document to Stipple's citation verification endpoint:

    curl -X POST https://www.stipple.sh/v1/verify-references \
      -F "file=@report.pdf" \
      -H "Authorization: Bearer $STIPPLE_API_KEY"
    

    The anonymous free tier works without the Authorization header. Deep mode (?deep=true) costs more credits but cross-checks citations against live web sources.

  3. Interpret the response. The result includes:

    • verification_coverage — percentage of claims verified (e.g. "78%")
    • citations[] — per-citation status: resolved and matching, resolved but mismatched, or unresolvable, with the issue explained
    • arithmetic[] — recomputed figures vs stated figures (flags decimal shifts, wrong sums)
    • unsupported_claims[] — claims with no citation at all
  4. Report honestly. Present results as verification coverage, not a truth verdict:

    • "21/27 citations resolve and match"
    • "[x] FY24+FY25 revenue stated $4.2m, actual $3.7m"
    • "[!] 'industry-leading accuracy' — no source in document"
    • Unverified ≠ false. The goal is telling the user which claims are backed and which aren't.
  5. Offer remediation. For failed citations, suggest: fixing the decimal shift, finding the correct source, or removing the unsupported claim.

Output format

Verification coverage: 78%

Citations: 21/27 resolve and match
  [+] "ABS unemployment 4.1% April 2026" — matches abs.gov.au
  [-] "AI adoption grew 340% in 2025" — source states 34%, decimal shifted

Arithmetic: 12/13 recompute correctly
  [x] FY24 + FY25 revenue — stated $4.2m, actual $3.7m

Unsupported claims: 2
  [!] "industry-leading accuracy" — no source in document

Limitations and Safety

  • Uploading a report or manuscript sends its contents to a hosted third party; deep mode also retrieves external sources. Obtain approval before transmission, remove confidential or personal material, and verify current retention and deletion terms.
  • Resolution and textual support do not establish that a source is authoritative or that a claim is true. Inspect consequential citations in the primary source and preserve page, edition, date, and access context.
  • Treat unresolved or unsupported claims as review items, not proof of fabrication, and keep a human reviewer responsible for publication or academic decisions.

Notes

  • Works on PDF, DOCX, MD, TXT. For pasted text, POST JSON: {"text": "..."}
  • Deep verification (deep=true) is slower and costs more credits but resolves citations against live sources
  • Pairs well with verify-document (is the source doc itself authentic?) run first
  • Anonymous free tier: shared weekly allowance. Get a free key at https://www.stipple.sh for your own metering
FAQ

What happens if a citation isn't found?

The tool will report that the citation couldn't be verified or that the found source doesn't match the claim.

Does it guarantee the information is true?

No, it only checks if the citation exists and if the information matches the source. The final truthfulness depends on the original source.

Can I send any file type?

It works with PDF, DOCX, and Markdown files, or you can paste the text directly.

Details

Original description by the author

Verify citations and references in a document, report, or article against real sources. Use when the user asks to fact-check, verify references, check citations, or validate evidence in research reports, tender responses, whitepapers, or academic writing.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#4494
License
MIT
Updated
10/15/2026

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