recruit-ai-mcp: Instructions file for Claude Code

CLAUDE.md

recruit-ai-mcp CLAUDE.md is an instructions file for Claude Code from JrJuni/recruit-ai-mcp. It costs 2,235 tokens per session, scanned A, a copy of recruit-ai-mcp AGENTS.md, MIT.

A repository guide for Claude Code and Claude Desktop when working on recruit-ai-mcp, a tool for recruiter and search-firm intelligence. It defines the project direction, documentation rules, development setup, and database defaults.

In plain words
What is it for?
Use it to understand how the repository is organized, which files to read first, and how its sample, full, and pro modes are intended to work.
Why use it?
It gives coding agents a shared starting point and prevents them from using the wrong project profile, paths, database settings, or infrastructure.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

This is JrJuni/recruit-ai-mcp's own configuration. It tells Claude Code how to work on recruit-ai-mcp 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 recruit-ai-mcp configures →

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/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/JrJuni/recruit-ai-mcp

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 2,235 This file is loaded in full into every session.
When invoked 2,235 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 95% copy Near-identical to another mod 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 $0.02235 $0.02235
Opus 5 $0.01118 $0.01118
Sonnet 5 $0.00447 $0.00447
Haiku 4.5 $0.00224 $0.00224

Measured 9d ago against content hash dce347f95e09, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

recruit-ai-mcp 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 9d 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

This is a copy

95% identical to recruit-ai-mcp AGENTS.md — 21 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CLAUDE.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This is the short operating guide for Claude Code and Claude Desktop sessions working with 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:

  1. CLAUDE.md or AGENTS.md for agent rules.
  2. AI_START_HERE.md when onboarding a new user or first-run agent.
  3. docs/README.md for the documentation map and current reading order.
  4. docs/status.md for the latest completed work.
  5. docs/baseline.md for MCP tool contracts.
  6. 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 · 202 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.

  1. 9d ago First seen · 202 lines · 2,235 tokens per session scan A dce347f95e09

Subscribe to this mod's changes

recruit-ai-mcp CLAUDE.md is an instructions file published in the GitHub repository JrJuni/recruit-ai-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 2,235 tokens to every session, about $0.0112 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to recruit-ai-mcp AGENTS.md, differing in 21 lines, and is treated as a copy.

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