job-agent: Skill for Cursor

.cursor/skills/job-hunt/SKILL.md

job-hunt is a skill for Cursor from PARK0301/job-agent. It costs 38 tokens per session (1,491 once invoked), scanned A, original, MIT.

A job-search workflow that finds daily listings, compares them with a user's profile, writes cover letters, and supports applications through a web dashboard. It also records application history.

In plain words
What is it for?
Use it to run job searches, review and approve listings, tune a profile, generate cover letters, prepare application folders, and view or delete application-history records.
Why use it?
It reduces the repeated work of searching for suitable jobs, tailoring applications, and tracking what has already been submitted.

Skill for Cursor

Written for Cursor: installed under .cursor/.

This is PARK0301/job-agent's own configuration. It tells Cursor how to work on job-agent 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 job-agent configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is cd ~/job-agent && ./scripts/install_desktop_shortcut.sh.

Reuse

Borrowing it

Nothing to install: this file belongs to PARK0301/job-agent. 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/PARK0301/job-agent/main/.cursor/skills/job-hunt/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/PARK0301/job-agent

Made for: Cursor.

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 job-hunt

README.md
[![agentmods](https://agentmods.dev/badge/skills/park0301/job-agent/job-hunt/github.svg)](https://agentmods.dev/skills/park0301/job-agent/job-hunt)
Your own site
<a href="https://agentmods.dev/skills/park0301/job-agent/job-hunt"><img src="https://agentmods.dev/badge/skills/park0301/job-agent/job-hunt/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 job-hunt

Your own site · 80×15
<a href="https://agentmods.dev/skills/park0301/job-agent/job-hunt"><img src="https://agentmods.dev/badge/skills/park0301/job-agent/job-hunt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,491 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00038 $0.01491
Opus 5 $0.00019 $0.00745
Sonnet 5 $0.00008 $0.00298
Haiku 4.5 $0.00004 $0.00149

Measured 11d ago against content hash a78156ac17e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

job-hunt 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.

.cursor/skills/job-hunt/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Job Hunt Skill

Paths (fixed)

  • Project root: ~/job-agent
  • Profile: ~/job-agent/profile/profile.json
  • Answers: ~/job-agent/profile/answers.json
  • Today jobs: ~/job-agent/jobs/today.json
  • Cover letters / application folders: ~/job-agent/applications/{company}_{role}/ (config applications_dir; override in config.yaml)

Desktop daily launcher (no Terminal)

Install once:

cd ~/job-agent && ./scripts/install_desktop_shortcut.sh
  • Job Hunt.app → starts debug Chrome + opens http://127.0.0.1:8787 (dashboard only; start hunts with Run job search).

In the dashboard: Prepare apply environment → one-time LinkedIn + SEEK login → then approve jobs (no Terminal needed).

Prefer the web UI over Terminal prompts. Canvas sidecars stay in sync for Cursor:

  • daily-jobs.canvas.tsx
  • profile-tune.canvas.tsx
  • applied-history.canvas.tsx

Applied history tab: compact table (company, title, link, status, date) + expandable row detail; multi-delete / single deleteDELETE /api/applications {job_ids}.

Onboarding / continuous tune

If profile/profile.json has placeholder name Your Name or empty/placeholder email ([email protected]), run onboard or tune before hunting:

cd ~/job-agent
python -m src.cli onboard     # field-by-field wizard
python -m src.cli tune        # OpenAI asks about CV/profile gaps; re-run anytime
python -m src.cli tune --once # up to 3 top questions

Or ask the user in chat for: name, email, skills, years, target_roles, target_countries, salary_min, visa_status, dealbreakers, linkedin_url, prefer_remote, notice_period — then save to profile/profile.json / answers.json.

Daily hunt checklist

- [ ] Load profile.json — if placeholder, run onboard/tune first
- [ ] Prefer: python -m src.cli launch  (or Desktop Job Hunt.command)
- [ ] Search jobs (LinkedIn + JobsDB — default HK sources in config.yaml)
- [ ] OpenAI match each job (gpt-4o-mini); threshold 60 in config.yaml
- [ ] Filter score below threshold and dealbreakers
- [ ] Save jobs/today.json + daily_report.md
- [ ] Sync Canvas: automatic via hunt/launch, or `python scripts/sync_canvas.py`

Read the full file on GitHub · 120 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 120 lines · 38 tokens per session scan A a78156ac17e8

Subscribe to this mod's changes

job-hunt is a skill published in the GitHub repository PARK0301/job-agent (0 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 1,491 once invoked, about $0.0002 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 2026-08-31.