What is job-evaluate?

An automated workflow for evaluating one job posting from its URL. It extracts the job details, scores the role, creates a tailored resume PDF, and records the application in a tracker.

Use it to assess a job, create an ATS-friendly resume for it, and add the application to a tracking CSV file.

It gathers several job-application tasks into one process and keeps the evaluation, resume, and application record together. It stops if required candidate files or software are missing.

job-evaluate — Skill for Claude Code by AkbarDevop

Install

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.

Any agent

npx skills add AkbarDevop/ai-job-agent --skill job-evaluate

Clone the repo

git clone --depth 1 https://github.com/AkbarDevop/ai-job-agent

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/akbardevop/ai-job-agent/job-evaluate/github.svg)](https://agentmods.dev/skills/akbardevop/ai-job-agent/job-evaluate)

Your own site

<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.

Your own site · 80×15

<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>

Per session 166 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,097 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.

Model	Per session	Once invoked
Fable 5.1	$0.00166	$0.02097
Opus 5	$0.00083	$0.01048
Sonnet 5	$0.00033	$0.00419
Haiku 4.5	$0.00017	$0.00210

Measured 12d ago against content hash bc81543ec3e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 12d 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.

skills/job-evaluate/SKILL.md · 174 lines

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.md exists (run /job-setup first if not)
cv.md exists at the repo root, OR a resume PDF path in linkedin-config.json that we can extract from
Playwright Chromium installed (npx playwright install chromium once) — 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"

Read the full file on GitHub · 174 lines

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.

12d ago First seen · 174 lines · 166 tokens per session scan A bc81543ec3e8

Subscribe to this mod's changes

job-evaluate is a skill published in the GitHub repository AkbarDevop/ai-job-agent (55 stars, last pushed 4mo ago), licensed MIT. It adds 166 tokens to every session and 2,097 once invoked, about $0.0008 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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