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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/madslorentzen/ai-job-search/agents-md"><img src="https://agentmods.dev/badge/instructions/madslorentzen/ai-job-search/agents-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/agents-md"><img src="https://agentmods.dev/badge/instructions/madslorentzen/ai-job-search/agents-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 | $0.00368 | $0.00368 |
| Opus 5.5 | $0.00147 | $0.00147 |
| Sonnet 5.5 | $0.00074 | $0.00074 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
ai-job-search AGENTS.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.
What it actually says
Agent Guidelines: AI Job Search
This workspace is structured to manage job search activities, scraper tools, CVs, cover letters, and interview preparation.
Thin-Pointer Design (Single Source of Truth)
To prevent duplication and configuration drift across different AI agent frameworks (Claude Code, Google Antigravity, Codex, Cursor, Gemini CLI, etc.), this workspace uses a unified thin-pointer design. All agent runtimes should load the canonical specifications and candidate profiles from the files and directories below:
- Personal Candidate Profile:
- The candidate profile, contact details, education, and target preferences are defined in CLAUDE.md and the individual profile methodology files under .claude/skills/job-application-assistant/ (specifically
01-*.mdetc.).
- The candidate profile, contact details, education, and target preferences are defined in CLAUDE.md and the individual profile methodology files under .claude/skills/job-application-assistant/ (specifically
- Canonical Workflow Specifications:
- The step-by-step instructions and triggers for tasks (setup, scrape, rank, apply, upskill, interview) are defined in the .claude/ directory (specifically under
.claude/skills/and.claude/commands/). - Do not duplicate these rules or specifications. Treat
.claude/files as the single source of truth.
- The step-by-step instructions and triggers for tasks (setup, scrape, rank, apply, upskill, interview) are defined in the .claude/ directory (specifically under
- Portal Search Skills:
- Job-portal search CLIs live under .agents/skills/ in the portable Agent Skills format (with a
SKILL.mdper portal). Codex and Antigravity discover these automatically; the/scrapeworkflow in .claude/skills/job-scraper/ orchestrates them.
- Job-portal search CLIs live under .agents/skills/ in the portable Agent Skills format (with a
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 · 20 lines · 368 tokens per session scan A 9811372c5c91
ai-job-search AGENTS.md is an instructions file published in the GitHub repository MadsLorentzen/ai-job-search (47,502 stars, last pushed today), licensed MIT. It adds 368 tokens to every session, about $0.0015 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.
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