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.
curl -O https://raw.githubusercontent.com/suraj-davariya/ai-job-search/main/CLAUDE.mdgit clone --depth 1 https://github.com/suraj-davariya/ai-job-searchWrote 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.
[](https://agentmods.dev/instructions/suraj-davariya/ai-job-search/claude-md)<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.
<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>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 | $0.02470 | $0.02470 |
| Opus 5.5 | $0.00988 | $0.00988 |
| Sonnet 5.5 | $0.00494 | $0.00494 |
| Haiku 4.5 | $0.00247 | $0.00247 |
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.
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:
-
Requirements →
docs/requirements/00-index.mdThe complete functional and non-functional specification. Every requirement has aREQ-####orNFR-####ID. -
Architecture →
docs/architecture/00-index.mdTechnology stack, component design, data model, API contracts, security model. Every element has anARCH-####ID and traces to the requirements it satisfies. -
Plan →
docs/plan/00-index.mdMilestones, work breakdown, sequencing, and the task backlog. Each task referencesREQ-andARCH-IDs. -
Development →
docs/development/00-index.mdCoding standards, project structure, local setup, contribution workflow, and implementation guides per component. -
Testing →
docs/testing/00-index.mdTest strategy, test plans, test case catalog (TC-####IDs tracing toREQ-####), CI gates, and QA checklists.
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.
- 2mo ago First seen · 213 lines · 2,470 tokens per session scan A e23e16af307d
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.
ai-job-search CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-job-search CLAUDE.mdsuraj-davariya/ai-job-search | Instructions file | 24 | 4mo ago | MIT | A | 2,470 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |