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AI EngineeringPython

Claim Verify Loop

by gaasher

Claim Verify Loop is an AI Engineering skill for Claude Code, published by gaasher in Agent-Loop-Skills.

166 stars19 forkson gaasher/Agent-Loop-SkillsAdded 2026/09/08+2% in starsRepository updated 2026/06/30
agent-skillsagentic-loopsagentic-workflowsai-agentsanthropicautoresearchclaudeclaude-codedata-analysisliterature-reviewllm-agentsmachine-learningml-autoresearchopen-sourceprompt-engineeringred-teamingscientific-writingskillssubagents
Install in seconds
Install Claim Verify Loop
Copy Claim Verify Loop into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/claim-verify ~/.claude/skills/claim-verify

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/gaasher/Agent-Loop-Skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
loops/claim-verify/SKILL.md in gaasher/Agent-Loop-Skills
Installs to
~/.claude/skills/claim-verify
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering3670 skills

What Claim Verify Loop does

Claim Verify Loop checks each discrete claim in a results draft against the underlying dataset, then stress-tests it for outliers, confounds, and subgroup effects. Use it before publishing when a data-backed draft needs adversarial verification and revision.

Claim Verify Loop is cataloged under AI Engineering on DirSkills. Claim Verify Loop comes from a repository tagged agent-skills, agentic-loops, agentic-workflows, ai-agents and anthropic.

Documentation

README

Claim Verify Loop

A claim-by-claim adversarial verification loop over a results draft. The artifact is the draft; the feedback signal is the count of unverified claims — claims not yet checked, or checked but not yet survived a stress test. You drive it to zero: each claim ends verified (reproduces and survives the obvious threats) or appropriately qualified (hedged, scoped, or retracted with the reason).

The discipline: a number that merely reproduces is not trustworthy — most wrong findings reproduce fine. A claim is verified only when it also survives the threat most likely to kill it: an outlier, a confound, a subgroup too small to mean anything, a sign that flips under stratification. This loop is a gate on an existing draft, not a generator of new findings.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Claim Verify Loop

  • What else does gaasher publish alongside Claim Verify Loop?

    Claim Verify Loop is one of 25 skills that DirSkills catalogs from gaasher/Agent-Loop-Skills, the repository it ships in. Its siblings there include Alpha Evolve, Anomaly Investigation and Blue Team. Each one is a separate skill with its own page in this directory, installs the same way Claim Verify Loop does, and is maintained by gaasher in that same repository. The rest of the collection is listed on the gaasher/Agent-Loop-Skills page.

  • How does Claim Verify Loop compare to other AI Engineering skills?

    Claim Verify Loop ranks #3322 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Claim Verify Loop against them. Open each page to compare what they document and how they install.

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