ai-job-search: Instructions file for Claude Code

CLAUDE.md

ai-job-search CLAUDE.md is an instructions file for Claude Code from suraj-davariya/ai-job-search. It costs 2,470 tokens per session, scanned A, original, MIT.

Project instructions for CareerForge, an open-source tool that helps people prepare and track job applications with AI. They define the project's goals, identity, and documentation sources.

In plain words
What is it for?
Use them when planning features, locating the right documentation, or making implementation decisions in the ai-job-search repository.
Why use it?
They keep development aligned with the project's own requirements instead of copied code or assumptions from a similar job-search project.

Instructions file for Claude Code

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

This is suraj-davariya/ai-job-search's own configuration. It tells Claude Code how to work on ai-job-search 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 ai-job-search configures →

Reuse

Borrowing it

Nothing to install: this file belongs to suraj-davariya/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.

Copy the file
curl -O https://raw.githubusercontent.com/suraj-davariya/ai-job-search/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/suraj-davariya/ai-job-search

Made for: Claude Code.

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.

agentmods badge for ai-job-search CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/suraj-davariya/ai-job-search/claude-md/github.svg)](https://agentmods.dev/instructions/suraj-davariya/ai-job-search/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/suraj-davariya/ai-job-search/claude-md"><img src="https://agentmods.dev/badge/instructions/suraj-davariya/ai-job-search/claude-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.

agentmods 80×15 button for ai-job-search CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/suraj-davariya/ai-job-search/claude-md"><img src="https://agentmods.dev/badge/instructions/suraj-davariya/ai-job-search/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,470 This file is loaded in full into every session.
When invoked 2,470 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 $0.02470 $0.02470
Opus 5.5 $0.00988 $0.00988
Sonnet 5.5 $0.00494 $0.00494
Haiku 4.5 $0.00247 $0.00247

Measured 2mo ago against content hash e23e16af307d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-job-search 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 2mo 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.

CLAUDE.md · 213 lines

How it starts

The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — Project Memory & Agent Instructions

Identity

This is CareerForge (working directory: ai-job-search) — an open-source, AI-powered job application framework designed to work for job seekers anywhere in the world, regardless of country, language, or local job market. It is built with Claude Code.

The product is positioned against MadsLorentzen/ai-job-search (MIT) — a mature, Denmark-focused predecessor with the same drafter-reviewer + LaTeX architecture. CareerForge's wedge is country-agnostic from the core, a first-class tracking dashboard, and a cost-aware (opt-out) reviewer. See .reference/competitive-analysis/madslorentzen-ai-job-search.md for the full study.

Prime Directive

Build from the docs, not from external code. The canonical source of truth for what this product does, how it is architected, and how to build it lives in /docs. Every implementation decision flows from those documents. You never copy or reproduce code from other projects.

Documentation Map

Read these in order when you need to understand the product:

  1. Requirements → docs/requirements/00-index.md The complete functional and non-functional specification. Every requirement has a REQ-#### or NFR-#### ID.

  2. Architecture → docs/architecture/00-index.md Technology stack, component design, data model, API contracts, security model. Every element has an ARCH-#### ID and traces to the requirements it satisfies.

  3. Plan → docs/plan/00-index.md Milestones, work breakdown, sequencing, and the task backlog. Each task references REQ- and ARCH- IDs.

  4. Development → docs/development/00-index.md Coding standards, project structure, local setup, contribution workflow, and implementation guides per component.

  5. Testing → docs/testing/00-index.md Test strategy, test plans, test case catalog (TC-#### IDs tracing to REQ-####), CI gates, and QA checklists.

Read the full file on GitHub · 213 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. 2mo ago First seen · 213 lines · 2,470 tokens per session scan A e23e16af307d

Subscribe to this mod's changes

ai-job-search CLAUDE.md is an instructions file published in the GitHub repository suraj-davariya/ai-job-search (24 stars, last pushed 4mo ago), licensed MIT. It adds 2,470 tokens to every session, about $0.0099 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.

Related

ai-job-search CLAUDE.md compared with instructions from other repositories

ai-job-search CLAUDE.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ai-job-search CLAUDE.mdsuraj-davariya/ai-job-searchInstructions file244mo agoMITA2,470Claude Code
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode