Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AkbarDevop/ai-job-agent --skill job-evaluategit clone --depth 1 https://github.com/AkbarDevop/ai-job-agentWrote 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/akbardevop/ai-job-agent/job-evaluate)<a href="https://agentmods.dev/skills/akbardevop/ai-job-agent/job-evaluate"><img src="https://agentmods.dev/badge/skills/akbardevop/ai-job-agent/job-evaluate/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/akbardevop/ai-job-agent/job-evaluate"><img src="https://agentmods.dev/badge/skills/akbardevop/ai-job-agent/job-evaluate.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 | $0.00166 | $0.02097 |
| Opus 5.5 | $0.00066 | $0.00839 |
| Sonnet 5.5 | $0.00033 | $0.00419 |
| Haiku 4.5 | $0.00017 | $0.00210 |
Grade A, and why
job-evaluate 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 1mo 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Evaluate
The single-shot demo. Paste a URL, get a structured evaluation + PDF resume + tracker row out the other side. Career-ops calls this "auto-pipeline." This is what makes a recruiter say "wait, this thing is real."
Repo location
$AI_JOB_AGENT_ROOT → ~/.claude/skills/ai-job-agent/ → REPO_PATH marker file → ~/ai-job-agent/.
Prerequisites
config/candidate-profile.mdexists (run/job-setupfirst if not)cv.mdexists at the repo root, OR a resume PDF path inlinkedin-config.jsonthat we can extract from- Playwright Chromium installed (
npx playwright install chromiumonce) — needed for PDF generation
If any prereq is missing, fail with a clear message and stop. Don't half-run.
Workflow
Step 1 — Fetch and parse the JD
WebFetch "$URL"
Extract:
- Company (from URL host or page title)
- Role title (h1 / job title heading)
- Posted date (look for "Posted N days ago" / explicit ISO date)
- Location (city + remote/hybrid/onsite signal)
- Required skills (the bulleted "Requirements" / "Qualifications" section)
- Nice-to-haves (separate list if present)
- Compensation range (if disclosed)
- Recruiter / hiring manager name (if named)
- ATS platform (host: linkedin.com → LinkedIn Easy Apply; boards.greenhouse.io → Greenhouse; jobs.lever.co → Lever; etc.)
If the JD is behind auth (LinkedIn often is) or the fetch failed, ask the user to paste the JD text directly.
Step 2 — Score across A-G blocks (rubric from /job-coach)
Each block scores 0-5. Reference the rubric in /job-coach's SKILL.md if you need the exact definitions. Use the candidate's config/candidate-profile.md + config/search-plan.md (if it exists) to inform B/C/D.
For E (personalization angle) and F (interview signal), do additional research:
WebSearch "<Company> hiring intern review Glassdoor"
WebSearch "<Company> interview process site:reddit.com OR site:teamblind.com"
WebSearch "<Company> recent news 2026"
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.
- 1mo ago First seen · 174 lines · 166 tokens per session scan A bc81543ec3e8
job-evaluate is a skill published in the GitHub repository AkbarDevop/ai-job-agent (67 stars, last pushed 6mo ago), licensed MIT. It adds 166 tokens to every session and 2,097 once invoked, about $0.0007 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
Automation Tester Resume Optimizer
Build an SDET or automation engineer resume around framework ownership, tool-stack evidence, CI/CD integration, and GitHub proof that survives technical screening and recruiter keyword search.
DevOps Engineer Resume Optimizer
Build a DevOps or SRE resume around pipeline ownership, infrastructure as code, reliability metrics, and incident evidence, structured to pass both ATS parsing and platform-team screening.
freehire-job-search
Use when finding jobs for someone — searching or filtering the freehire catalogue by keyword, region, seniority, skills, salary or company; reading a posting or a company's open roles; discovering what values a filter accepts; reading the saved job-search profile before asking someone what they want; handing over a…
freehire-mail-triage
Use when sorting a job seeker's application mail into the freehire tracker from their own mail client (himalaya, mbsync, notmuch, the Gmail API, any IMAP) — pushing a fetched batch, judging what each message is, linking it to an application, advancing a stage from a reply, or draining the two queues the matcher fills…
freehire-tailor-cv
Use when reframing someone's CV toward a specific vacancy through freehire — reading the fit analysis for a tailored copy, fetching or editing the CV document by path, rendering the ATS PDF, or deciding what may and may not be written into a CV. Carries the evidence rule: anything stating what the candidate DID needs…
freehire-market-fit
Use when measuring a set of skills — a CV's stack, or one skill on its own — against live open-vacancy demand on freehire; when telling a candidate which in-demand skills they are missing and what learning each would unlock; or when gauging how much of a filtered market (a role, a region, a seniority) their current…