find-jobs

find-jobs is a skill for Claude Code from jananthan30/Resume-Builder. It costs 71 tokens per session (1,411 once invoked), scanned A, original, MIT.

A job-search assistant that finds current job listings and ranks them against a user's resume. It can search by role, place, or remote preference.

In plain words
What is it for?
Finding suitable live openings and comparing their fit with a resume, including remote roles.
Why use it?
It reduces the time spent searching many job boards and judging which openings fit a person's background.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the Resume-Builder plugin — 9 skills, 9 commands, 4 agents, 1 hook, 1 MCP server shipped together

Good fit Finding suitable live openings and comparing their fit with a resume, including remote roles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jananthan30/resume-builder/find-jobs
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 jananthan30/Resume-Builder --skill find-jobs
Clone the repo
git clone --depth 1 https://github.com/jananthan30/Resume-Builder

Made for: Claude Code.

Or install Resume-Builder, the plugin that ships this one along with the rest of its 9 skills, 9 commands, 4 agents, 1 hook, 1 MCP server.

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 find-jobs

README.md
[![agentmods](https://agentmods.dev/badge/skills/jananthan30/resume-builder/find-jobs/github.svg)](https://agentmods.dev/skills/jananthan30/resume-builder/find-jobs)
Your own site
<a href="https://agentmods.dev/skills/jananthan30/resume-builder/find-jobs"><img src="https://agentmods.dev/badge/skills/jananthan30/resume-builder/find-jobs/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 find-jobs

Your own site · 80×15
<a href="https://agentmods.dev/skills/jananthan30/resume-builder/find-jobs"><img src="https://agentmods.dev/badge/skills/jananthan30/resume-builder/find-jobs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,411 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 65
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
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 $0.00071 $0.01411
Opus 5 $0.00036 $0.00705
Sonnet 5 $0.00014 $0.00282
Haiku 4.5 $0.00007 $0.00141

Measured 13d ago against content hash 17fe219de80a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

find-jobs 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 13d 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/find-jobs/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Find Jobs — Discover & Score

Search live job boards for roles that match the user's resume, scored and ranked by fit.

Input

The user provides a search query (job title, location, and/or a remote preference) when invoking this skill; it may also be blank.

Instructions

You are helping the user discover relevant job opportunities scored against their resume using the discover_jobs MCP tool. Follow this workflow precisely.

Step 1: Read Master Resume

Read config.json to get master_resume_path. Extract the full resume text:

  • .docx files: use the extract_text MCP tool
  • .pdf, .md, .txt files: read directly

If config.json is missing or master_resume_path is not set, ask the user to paste their resume text directly.

Step 2: Parse the Search Query

From the user's query, extract:

  • Job title: the role to search for (e.g., "Senior Data Scientist", "Clinical Research Associate")
  • Location: city, state, or country if mentioned (e.g., "New York", "Boston", "remote")
  • Remote preference: if the user said "remote" or "remote only"

If the user provided no arguments at all, do NOT ask. Proceed with empty job_title — the AI will analyze the resume and suggest search terms automatically.

Examples of valid inputs:

  • Senior Data Scientist in New York
  • Clinical Research Associate Boston
  • Software Engineer remote
  • Medical Director (no location)
  • (blank) — AI analyzes resume and picks the best search

Step 3: Call discover_jobs

Call the discover_jobs MCP tool with:

  • resume_text: full resume text from Step 1
  • job_title: extracted from Step 2 (empty string if none given)
  • location: extracted from Step 2 (empty string if none)
  • remote_only: true if user said remote only, false otherwise
  • max_results: 10

Step 4: Handle Errors

If setup_required is true (no API keys): Show this message exactly:

Job discovery needs API keys to search live job boards.

Option 1 — Cloud (easiest, no setup):
  Sign up at https://getresumehq.com
  Then run the setup skill to link your account.

Option 2 — Local (free):
  Get free Adzuna keys at https://developer.adzuna.com/
  Add to your .env file:
    ADZUNA_APP_ID=your_app_id
    ADZUNA_APP_KEY=your_app_key
  Remotive (remote jobs only) works without any key.

Read the full file on GitHub · 138 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.

  1. 13d ago First seen · 138 lines · 71 tokens per session scan A 17fe219de80a

Subscribe to this mod's changes

find-jobs is a skill published in the GitHub repository jananthan30/Resume-Builder (83 stars, last pushed 28d ago), licensed MIT. It adds 71 tokens to every session and 1,411 once invoked, about $0.0004 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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