Borrowing it
Nothing to install: this file belongs to tarunlnmiit/autopilot-jobhunt. 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/tarunlnmiit/autopilot-jobhunt/main/CLAUDE.mdgit clone --depth 1 https://github.com/tarunlnmiit/autopilot-jobhuntWrote 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/tarunlnmiit/autopilot-jobhunt/claude-md)<a href="https://agentmods.dev/instructions/tarunlnmiit/autopilot-jobhunt/claude-md"><img src="https://agentmods.dev/badge/instructions/tarunlnmiit/autopilot-jobhunt/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/tarunlnmiit/autopilot-jobhunt/claude-md"><img src="https://agentmods.dev/badge/instructions/tarunlnmiit/autopilot-jobhunt/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 | $0.01166 | $0.01166 |
| Opus 5 | $0.00583 | $0.00583 |
| Sonnet 5 | $0.00233 | $0.00233 |
| Haiku 4.5 | $0.00117 | $0.00117 |
Grade A, and why
autopilot-jobhunt 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 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
autopilot-jobhunt
AI job agent: scans 130+ company careers pages nightly, scores every role against your resume with an LLM (0–100), sends top matches via Telegram, and drafts tailored cover letters + resume bullets on demand.
Key commands
autopilot scan # discover jobs, score with LLM, send Telegram notification
autopilot draft 1 # draft cover letter + resume for job #1 from last scan
autopilot draft https://... # draft for a specific job URL
autopilot export # export last scan to CSV
autopilot export --min 70 # export only jobs with score >= 70
autopilot export --days 7 # export jobs from the past 7 days
python -m job_hunt.mcp_server # start the MCP server (Claude Code / Claude Desktop)
Config files
| File | Controls | Gitignored? |
|---|---|---|
config.json |
Candidate profile, LLM settings, Telegram | Yes — copy from config.example.json |
.env |
API keys (TinyFish, OpenRouter, Telegram) | Yes — copy from .env.example |
companies.json |
List of companies to scan | No — committed, edit freely |
resume/YOUR_RESUME.md |
Your resume text (Markdown) | Yes — template committed |
Package structure
job_hunt/
scanner.py — TinyFish API job discovery + LLM scoring pipeline
drafter.py — cover letter + tailored resume bullet generation
notifier.py — Telegram notification sender (optional, graceful if unconfigured)
llm_utils.py — LLM dispatch: OpenRouter (default), Anthropic API, or Claude Code CLI
tools.py — protocol-agnostic tool layer (wraps scanner/drafter/exporter)
mcp_server.py — FastMCP server exposing scan_jobs, draft_application, export_jobs
main.py — CLI entry point (autopilot command)
Rate limits (free tier)
TinyFish (job discovery)
- Search: 5 requests/min — scanner auto-paces, sleeps between batches
- URL fetch: 25 requests/min — auto-paced, no action needed
- Free tier: completely free, no credit card, no daily cap
- Scan duration: 30–90 min for 130+ companies is normal — deliberate pacing, not a bug
- "No new jobs found": TinyFish found no postings matching the query for that company today — not an error
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.
- 11d ago First seen · 92 lines · 1,166 tokens per session scan A dcef178cfcbb
autopilot-jobhunt CLAUDE.md is an instructions file published in the GitHub repository tarunlnmiit/autopilot-jobhunt (206 stars, last pushed 1mo ago), licensed MIT. It adds 1,166 tokens to every session, about $0.0058 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 2026-08-30.
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