Awesome-AI-Job-Hunting: Instructions file for Codex

AGENTS.md

Awesome-AI-Job-Hunting AGENTS.md is an instructions file for Codex, OpenCode from ishandutta2007/Awesome-AI-Job-Hunting. It costs 417 tokens per session, scanned A, original, MIT.

Repository instructions for an AI job-hunting workspace. They define a single source of truth for the candidate profile and the workflows used across different coding-agent tools.

In plain words
What is it for?
Guiding job-posting research, CV and cover-letter work, interview preparation, and related job-hunting automation using shared project files.
Why use it?
They reduce duplicated instructions and conflicting candidate details when multiple agents or tools work on the same job-search project.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

This is ishandutta2007/Awesome-AI-Job-Hunting's own configuration. It tells Codex and OpenCode how to work on Awesome-AI-Job-Hunting itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Awesome-AI-Job-Hunting configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ishandutta2007/Awesome-AI-Job-Hunting. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ishandutta2007/Awesome-AI-Job-Hunting/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/ishandutta2007/Awesome-AI-Job-Hunting

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 417 This file is loaded in full into every session.
When invoked 417 The same file — it is already loaded in full.
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 $0.00417 $0.00417
Opus 5 $0.00209 $0.00209
Sonnet 5 $0.00083 $0.00083
Haiku 4.5 $0.00042 $0.00042

Measured 11d ago against content hash 1a2d14231694, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

Awesome-AI-Job-Hunting 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 11d 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 · 21 lines

What it actually says

Agent Guidelines: AI-Job-Hunting Framework

This workspace is structured to manage comprehensive AI-Job-Hunting activities, scraper tools, LaTeX CVs, cover letters, and interview preparation across multi-agent environments.

Thin-Pointer Design (Single Source of Truth)

To prevent duplication and configuration drift across different AI agent frameworks (Claude Code, Google Antigravity, OpenAI Codex, Cursor, Gemini CLI, etc.), the AI-Job-Hunting workspace utilizes a unified thin-pointer architecture. All agent runtimes should load the canonical specifications and candidate profiles from the single sources of truth below:

  1. Personal Candidate Profile:
  2. Canonical Workflow Specifications:
    • The step-by-step instructions and triggers for AI-Job-Hunting tasks (setup, scrape, rank, apply, upskill, interview, notion-sync, gmail-sync) 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 across multi-market job search batches.
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. 11d ago First seen · 21 lines · 417 tokens per session scan A 1a2d14231694

Subscribe to this mod's changes

Awesome-AI-Job-Hunting AGENTS.md is an instructions file published in the GitHub repository ishandutta2007/Awesome-AI-Job-Hunting (3 stars, last pushed 17d ago), licensed MIT. It adds 417 tokens to every session, about $0.0021 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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