Skip to content
Agentmart
Submit a tool

paper-integrity-audit

Zero-context cross-model audit of paper integrity before submission.

Skill by yvesory

IndexedLicense unknown★ 19
Write a review

Chalk Labs

Need help deploying paper-integrity-audit?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/yvesory-paper-integrity-audit

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Zero-context cross-model audit of paper integrity before submission. Routes to four complementary audit packs depending on what to verify: (1) citation-audit — bibliography integrity (hallucinated authors, wrong years, fabricated venues, wrong-context citations), (2) paper-claim-audit — every number, comparison, and scope claim against raw result files, (3) experiment-audit — experimental integrity (fake ground truth, normalization fraud, phantom results, insufficient scope), (4) result-to-claim — judge what claims experimental results actually support vs what they don't. All four use fresh cross-model reviewer threads (via Codex MCP) with NO prior context to prevent confirmation bias. Use before submission, before sending to advisor, or whenever you need a hard integrity check. Triggers: audit paper, check citations, verify references, citation audit, check claims, verify numbers, experiment audit, integrity check, result audit, 审查引用, 审查数据, 实验诚实度, 审计实验, 论文数字核对, 引用核对, claim 审查.

Use cases: security, research, agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/paper-integrity-audit

What's inside

Skill name
paper-integrity-audit
Description
Zero-context cross-model audit of paper integrity before submission. Routes to four complementary audit packs depending on what to verify: (1) citation-audit — bibliography integrity (hallucinated authors, wrong years, fabricated venues, wrong-context citations), (2) paper-claim-audit — every number, comparison, and scope claim against raw result files, (3) experiment-audit — experimental integrity (fake ground truth, normalization fraud, phantom results, insufficient scope), (4) result-to-claim — judge what claims experimental results actually support vs what they don't. All four use fresh cross-model reviewer threads (via Codex MCP) with NO prior context to prevent confirmation bias. Use before submission, before sending to advisor, or whenever you need a hard integrity check. Triggers: audit paper, check citations, verify references, citation audit, check claims, verify numbers, experiment audit, integrity check, result audit, 审查引用, 审查数据, 实验诚实度, 审计实验, 论文数字核对, 引用核对, claim 审查.
License
unknown
Metadata
type: orchestrator · scope: paper-integrity
Instructions
83 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

Signals

Stars
19
Forks
0
Open issues
0
Last commit (this folder)
Aug 16, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from yvesory

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get paper-integrity-audit running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying paper-integrity-audit?

CallGet help
Cite this page

paper-integrity-audit skill. Agent Mart. https://agentmart.dev/skills/yvesory-paper-integrity-audit (last updated 2026-10-24)