What is recruit-ai-mcp AGENTS.md?

A repository guide for Codex and other coding agents working on recruit-ai-mcp, a tool for recruiter and search-firm intelligence. It sets the project direction, reading order, documentation language, and development rules.

Use it to identify the project’s intended profiles, relevant starting files, and rules for working in the codebase.

It helps agents make changes that fit the repository’s staged move from deal intelligence to recruiting intelligence.

How JrJuni/recruit-ai-mcp configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to JrJuni/recruit-ai-mcp. 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/JrJuni/recruit-ai-mcp/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/JrJuni/recruit-ai-mcp

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/jrjuni/recruit-ai-mcp/agents-md/github.svg)](https://agentmods.dev/instructions/jrjuni/recruit-ai-mcp/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/jrjuni/recruit-ai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/jrjuni/recruit-ai-mcp/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/jrjuni/recruit-ai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/jrjuni/recruit-ai-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,287 This file is loaded in full into every session.

When invoked 2,287 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.

Model	Per session	Once invoked
Fable 5.1	$0.02287	$0.02287
Opus 5	$0.01144	$0.01144
Sonnet 5	$0.00457	$0.00457
Haiku 4.5	$0.00229	$0.00229

Measured 8d ago against content hash 833171021866, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

recruit-ai-mcp 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 8d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

recruit-ai-mcp CLAUDE.md — 95% identical, 21 lines differ

AGENTS.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This is the short operating guide for Codex and other coding agents working in this repository. Keep it current and compact. Put long history in docs/.

Project North Star

recruit-ai-mcp is a bootstrap fork of deal-intel-mcp for recruiter and search-firm intelligence. Work 0 isolates public metadata, CLI alias, config paths, env prefix, local paths, and MongoDB defaults while the Python package still uses deal_intel internals. The first recruiting MCP tools now coexist with inherited deal-intelligence compatibility tools during the staged cutover.

Default MongoDB databases are recruit_ai and recruit_ai_demo. Atlas M0 uses the existing Python cosine search path; do not apply Atlas Vector Search unless the user intentionally moves to paid M10+ infrastructure.

The product direction is one repository / one package with three profiles:

sample: zero-config, MongoDB-free sample/local personal mode.
full: Atlas-backed operating mode for real team data.
pro: paid-infrastructure path with API-key LLM providers and Atlas Vector Search.

Read First

Do not read every doc by default. Start here:

AGENTS.md or CLAUDE.md for agent rules.
AI_START_HERE.md when onboarding a new user or first-run agent.
docs/README.md for the documentation map and current reading order.
docs/status.md for the latest completed work.
docs/baseline.md for MCP tool contracts.
docs/metrics.md, docs/reports.md, docs/storage-backends.md, or docs/config-profiles.md only when the task touches that area, including recruiting pipeline metrics or recruiting report exports.

Append-only or historical docs such as docs/lesson-learned.md and old sections of docs/backlog.md are archive material. Search them for a specific failure or decision; do not load them wholesale for ordinary tasks.

Before public release, package handoff, MCPB rebuild, or major install-doc changes, run the launch-hygiene skill if available and follow the public launch hygiene gate in docs/mvp-readiness.md.

Read the full file on GitHub · 205 lines

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.

8d ago First seen · 205 lines · 2,287 tokens per session scan A 833171021866

Subscribe to this mod's changes

recruit-ai-mcp AGENTS.md is an instructions file published in the GitHub repository JrJuni/recruit-ai-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 2,287 tokens to every session, about $0.0114 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 2026-09-01.

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.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

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).

microsoft/vscode · 6,785 tokens

recruit-ai-mcp: Instructions file for Codex