claim-check

claim-check is a skill for Claude Code, Codex from Remotivated/job-hunt-skills. It costs 48 tokens per session (2,117 once invoked), scanned A, original, MIT.

A final fact-check for resumes, cover letters, LinkedIn sections, and job applications. It compares claims in those documents with supporting evidence.

In plain words
What is it for?
Use it to review an application package for unsupported or exaggerated claims and produce a numbered findings report.
Why use it?
It helps catch made-up numbers, tools, responsibilities, or projects before an employer sees them.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **State layer:** reads source work documents, tailored application materials, story bank, proof assets, and reports. In standalone mode, writes a numbered `clai.

Part of the job-hunt-skills plugin — 11 skills shipped together

Good fit Use it to review an application package for unsupported or exaggerated claims and produce a numbered findings report.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Remotivated/job-hunt-skills
agentmods
npx agentmods add skills/remotivated/job-hunt-skills/claim-check

Made for: Claude Code, Codex.

Or install job-hunt-skills, the plugin that ships this one along with the rest of its 11 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for claim-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/remotivated/job-hunt-skills/claim-check/github.svg)](https://agentmods.dev/skills/remotivated/job-hunt-skills/claim-check)
Your own site
<a href="https://agentmods.dev/skills/remotivated/job-hunt-skills/claim-check"><img src="https://agentmods.dev/badge/skills/remotivated/job-hunt-skills/claim-check/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for claim-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/remotivated/job-hunt-skills/claim-check"><img src="https://agentmods.dev/badge/skills/remotivated/job-hunt-skills/claim-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,117 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.02117
Opus 5 $0.00024 $0.01059
Sonnet 5 $0.00010 $0.00423
Haiku 4.5 $0.00005 $0.00212

Measured 12d ago against content hash 47b46e41f640, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

claim-check scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/claim-check/SKILL.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Detect and classify claims that are not supported by the evidence layer. This is a fabrication check, not a staleness check. It catches hallucinated metrics, invented tools, inflated scope, and projects that never existed before materials go to an employer.

The same verification mechanism runs in three modes:

  • Standalone — user-facing entry point. Runs when the user asks for a final truth pass before submitting an application package.
  • Tailor — invoked internally by resume-tailor and cover-letter before they save tailored application materials.
  • Initial-build — invoked internally by resume-builder before it saves a new or rebuilt source work document.

Use the name claim-check in conversation and reports regardless of mode.

Workflow

State layer: reads source work documents, tailored application materials, story bank, proof assets, and reports. In standalone mode, writes a numbered claim-check report. Tailor and initial-build modes return findings to the caller and do not write a standalone report. See state-layer contract.

1. Identify the mode

Determine which mode is running based on how the skill was invoked:

  • Standalone — the user invoked this skill directly, or another skill called it without a mode argument.
  • Tailorresume-tailor or cover-letter passed a candidate tailored work document and/or cover letter before save.
  • Initial-buildresume-builder passed generated content plus the current interview transcript before first save or rebuild.

Steps 4–7 (read evidence, scope scan, extract, classify, remediate) are identical across modes. Modes differ in what is scanned and what happens after findings are reported.

2. Scope inputs by mode

Standalone mode:

Ask only if the target is not obvious. Scope options:

  • A pasted draft.
  • A specific file path.
  • A specific application id, company, or role.
  • All application materials under my-documents/applications/.

Read the full file on GitHub · 202 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 202 lines · 48 tokens per session scan A 47b46e41f640

Subscribe to this mod's changes

claim-check is a skill published in the GitHub repository Remotivated/job-hunt-skills (9 stars, last pushed 20d ago), licensed MIT. It adds 48 tokens to every session and 2,117 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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