ai-job-search AGENTS.md

A set of AGENTS.md instructions for an AI job-search workspace. It tells coding agents where the official candidate details and workflow rules live.

In plain words
What is it for?
Use it when managing job searches, scraping job portals, ranking roles, preparing applications, improving skills or preparing for interviews.
Why use it?
It prevents different AI tools from copying rules or profiles and then falling out of sync.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/madslorentzen/ai-job-search/agents-md
Clone the repo
git clone --depth 1 https://github.com/MadsLorentzen/ai-job-search

Made for: Codex, OpenCode.

Per session 368 This file is loaded in full into every session.
When invoked 368 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00368 $0.00368
Opus 5 $0.00184 $0.00184
Sonnet 5 $0.00074 $0.00074
Haiku 4.5 $0.00037 $0.00037

Measured 2d ago against content hash 9811372c5c91, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

AGENTS.md · 20 lines

What it actually says

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:

  1. Personal Candidate Profile:
  2. 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.
  3. Portal Search Skills:
    • Job-portal search CLIs live under .agents/skills/ in the portable Agent Skills format (with a SKILL.md per portal). Codex and Antigravity discover these automatically; the /scrape workflow in .claude/skills/job-scraper/ orchestrates them.
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. 2d ago First seen · 20 lines · 368 tokens per session scan A 9811372c5c91

Subscribe to this mod's changes

ai-job-search AGENTS.md is an instructions file published in the GitHub repository MadsLorentzen/ai-job-search (39,400 stars, last pushed today), licensed MIT. It adds 368 tokens to every session, about $0.0018 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 2026-08-30.