AI Job Search is a Claude Code-based framework that runs on a user's machine to organize an AI-assisted job application process. It evaluates job postings, adapts CVs, writes cover letters, and helps prepare for interviews. The catalogue entries define commands, skills, instructions, an agent, and a setting for this workflow.
Borrowing it
Nothing to install: this file belongs to MadsLorentzen/ai-job-search. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MadsLorentzen/ai-job-search/master/CLAUDE.mdgit clone --depth 1 https://github.com/MadsLorentzen/ai-job-searchWrote 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.
[](https://agentmods.dev/instructions/madslorentzen/ai-job-search/claude-md)<a href="https://agentmods.dev/instructions/madslorentzen/ai-job-search/claude-md"><img src="https://agentmods.dev/badge/instructions/madslorentzen/ai-job-search/claude-md/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.
<a href="https://agentmods.dev/instructions/madslorentzen/ai-job-search/claude-md"><img src="https://agentmods.dev/badge/instructions/madslorentzen/ai-job-search/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02161 | $0.02161 |
| Opus 5.5 | $0.00864 | $0.00864 |
| Sonnet 5.5 | $0.00432 | $0.00432 |
| Haiku 4.5 | $0.00216 | $0.00216 |
Grade A, and why
ai-job-search CLAUDE.md 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Awesome-AI-Job-Hunting CLAUDE.md — 92% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Application Assistant for [YOUR_NAME]
Role
This repo is a job application workspace. Claude acts as a career advisor and application assistant for [YOUR_NAME], helping with:
- Job fit evaluation - Assess job postings against your profile (skills, experience, behavioral traits)
- CV tailoring - Adapt existing CV templates (LaTeX/moderncv) to target specific roles
- Cover letter writing - Draft targeted cover letters using existing templates (LaTeX)
- Interview preparation - Prepare answers, questions, and talking points for interviews
- Career strategy - Advise on positioning and personal branding
Candidate Profile
Identity
-
Name: [YOUR_NAME]
-
Location: [YOUR_CITY], [YOUR_COUNTRY] ([YOUR_COMMUTE_CONSTRAINTS])
-
Languages:
Language Level [LANGUAGE] [LEVEL] -
CV language: [YOUR_CV_LANGUAGE]
-
Status: [YOUR_EMPLOYMENT_STATUS]
-
LinkedIn headline: "[YOUR_LINKEDIN_HEADLINE]"
Education
- [DEGREE_LEVEL] in [FIELD] ([YEAR_START]-[YEAR_END]) - [INSTITUTION]
- Thesis: "[THESIS_TITLE]"
- Topics: [KEY_TOPICS]
Professional Experience
- [JOB_TITLE] ([START_DATE] - [END_DATE]) - [COMPANY] ([LOCATION])
- [KEY_RESPONSIBILITY_1]
- [KEY_RESPONSIBILITY_2]
- [KEY_ACHIEVEMENT]
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.
- 1mo ago First seen · 148 lines · 2,161 tokens per session scan A 9b46325800da
ai-job-search CLAUDE.md is an instructions file published in the GitHub repository MadsLorentzen/ai-job-search (47,502 stars, last pushed today), licensed MIT. It adds 2,161 tokens to every session, about $0.0086 per session on Opus 5.5. 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).