Borrowing it
Nothing to install: this file belongs to galiprandi/job-seeker. 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/galiprandi/job-seeker/main/.agents/skills/radar/SKILL.mdgit clone --depth 1 https://github.com/galiprandi/job-seekerWrote 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/skills/galiprandi/job-seeker/radar)<a href="https://agentmods.dev/skills/galiprandi/job-seeker/radar"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/radar/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/skills/galiprandi/job-seeker/radar"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/radar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.02430 |
| Opus 5.5 | $0.00017 | $0.00972 |
| Sonnet 5.5 | $0.00008 | $0.00486 |
| Haiku 4.5 | $0.00004 | $0.00243 |
Grade A, and why
radar 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 2d 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Radar
Trigger
Keyword: radar
The user says radar (or variants: "set up alerts", "register on platforms", "new platforms") and the registration + alert configuration + career site alerts + Gmail filter flow is triggered.
Purpose
Passive sourcing: platforms and career sites bring opportunities to the user without having to search manually. Alerts arrive in a Job Alerts folder in Gmail, and the news skill consumes them when the user says news.
Three alert sources:
- Job boards (Otta, Torre, Built In, etc.) — broad reach
- Big tech career sites (Google, Meta, Amazon, etc.) — high-value companies not in the 40 targets
- Target company ATS alerts (configured during
targetsflow registration) — deep monitoring of the 40 target companies
Flow
0. Pre-flight
- Verify active Gmail session. If session closed → open browser with wrapper (see AGENTS.md "Browser session"):
node .agents/skills/browser-automation/scripts/browser.js open <url> --headed(Gold Rule 5) - Browser: always use
node .agents/skills/browser-automation/scripts/browser.jsfor open/close/goto. See AGENTS.md "Browser session" for details. Never callagent-browser opendirectly, never open Chrome directly - Read
PLATFORMS.md"Alert Tracking" section to see which platforms need configuration - Read
PROFILE.mdto get keywords, seniority, location, preferences - Load active preferences (see
memoryskill):node scripts/db.js "SELECT category, key, value, confidence, source FROM preferences WHERE user_id = <user_id> AND status = 'active' ORDER BY category, key" - Load target companies (companies loaded from users.data.target_companies in DB, each
{name, url, sector}). These are priority targets for alert configuration and platform prioritization:node scripts/db.js "SELECT data->'target_companies' AS target_companies FROM users WHERE id = <user_id>"
1. Register on platforms
For each unconfigured platform (column "Profile" = "—"):
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.
- 2d ago Changed 4031a0b39a02
- 1mo ago Changed f511755274cf
- 1mo ago First seen · 166 lines · 42 tokens per session scan A cdef6d7c9142
radar is a skill published in the GitHub repository galiprandi/job-seeker (58 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 2,430 once invoked, about $0.0002 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.
Other skills, from other repositories
interviewing
Use when the user gets an interview invitation, moves into an interview process, wants to track interview stages, capture post-interview notes, draft follow-up messages, or update an application to interviewing.
career-compass
Use for any job-search or career task, even a short casual ask that never names Career Compass. Triggers include a pasted job posting or JD, a résumé or CV, "should I apply", "do I fit this", "help me apply", tailoring a résumé or cover letter, a LinkedIn headline or About section, tracking applications, a recruiter…
vitaecontext-build
Build, normalize, and maintain the user's Career Context file so downstream platform outputs stay factual and consistent. Use when the user wants an agent to consolidate CV data, LinkedIn exports, GitHub history, project summaries, bio facts, achievements, or positioning into one professional source of truth before…
get-started
Use when the user is new to Job Hunt Skills and wants to see what it does or set up their workspace — including "I'm new to Job Hunt Skills", "help me get started", "set me up", "first time using this", "here's my resume, tailor it for this job", "can you look at my resume", pasting a resume and a job posting…
today
See what needs attention in your job search today, such as follow-ups due, upcoming interviews, and stale applications, in priority order.
week
Review your job-search week. What moved, stalled or closed, the patterns in your notes, your pace against your goal, and one focus for next week.