ai-job-agent CLAUDE.md

Project instructions for an AI job-application toolkit that automates parts of applying for jobs, handling email, and tracking applications.

In plain words
What is it for?
Use them for job searching, evaluating roles, preparing CVs and interviews, submitting supported applications, triaging email, tracking applications in Google Sheets, and sending outreach or follow-ups.
Why use it?
They explain the available commands, scripts, setup process, and output locations so an agent can follow the toolkit’s intended workflow.

Instructions file

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.

agentmods
npx agentmods add instructions/akbardevop/ai-job-agent/claude-md
Clone the repo
git clone --depth 1 https://github.com/AkbarDevop/ai-job-agent
Per session 4,101 This file is loaded in full into every session.
When invoked 4,101 The same file — it is already loaded in full.
Security scan B 1 finding. Scan, not verified.
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 $0.04101 $0.04101
Opus 5 $0.02050 $0.02050
Sonnet 5 $0.00820 $0.00820
Haiku 4.5 $0.00410 $0.00410

Measured yesterday against content hash c4c149d661af, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

ai-job-agent CLAUDE.md scanned grade B with 1 finding 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 yesterday.

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.

Enumerates other installed skillsmediumAgent snooping

Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.

Skills find this repo via `$AI_JOB_AGENT_ROOT` → `~/.claude/skills/ai-job-agent/REPO_PATH` → `~/ai-job-agent`. Set the env var or rerun `install.sh` from a non-default clone location.
CLAUDE.md · 236 lines

How it starts

The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Job Application Agent - Claude Code Instructions

Overview

This is a job application automation toolkit. It automates filling and submitting applications on LinkedIn Easy Apply, Greenhouse, Lever, Jobvite, and Ashby, plus email triage and Google Sheets tracking.

Two ways to drive it:

  1. Bundled skills (recommended) — type /job-coach, /job-apply, /job-evaluate, /job-cv, /job-track, /job-triage, /job-status, /job-outreach, /job-followup, /job-dashboard, /job-interview, /job-patterns, or /job-setup in any Claude Code session. Each skill wraps the scripts below and renders results as a markdown table. Install once with bash skills/install.sh.
  2. Raw scripts — call the Node.js / Python scripts in scripts/ directly from your terminal (documented below).

Bundled Skills

Installed by bash skills/install.sh (symlinks them into ~/.claude/skills/). Each skill's prompt lives at skills/<name>/SKILL.md — read it to see exactly what the agent does.

Skill Wraps Output
/job-coach the persona — intake, research, slate, dispatch target-role slate + next-move suggestions; persists to config/search-plan.md
/job-setup wizard.sh equivalent — but in chat conversational onboarding, auto-reads user files, writes configs, registers skills
/job-apply <url> [--submit] 5 ATS fillers (auto-routed by URL host) result table: platform, outcome, exit code
/job-track [sync] local CSV + google-sheet-sync.py counts-by-status table + recent activity
/job-triage [query] outlook-triage.js classified-email counts + preview table, step-through extract/mark-read
/job-status <updates.json> tracker-status-update.py before/after diff, confirmation prompt, result summary
/job-outreach <target> send-cold-email.js + Claude (the agent drafts) research → draft preview → dry-run → send → log to outreach-log.csv
/job-followup [send] outreach-log.csv + send-cold-email.js urgency table (overdue/due/soon/waiting) + optional step-through send
/job-dashboard [live] job-dashboard.mjs (zero deps) ANSI tables: applications + outreach + follow-ups. Snapshot in chat or npm run dashboard for live TUI
/job-evaluate <url> WebFetch + 7-block A-G rubric + /job-cv chain + tracker append structured eval report at reports/<date>-<company>-<role>.md + tailored PDF + tracker row
/job-cv <jd> scripts/generate-tailored-cv.mjs (Playwright Chromium → PDF) Claude rewrites base CV (no invention) → ATS-friendly PDF at output/cv-<company>-<date>.pdf
/job-interview <company> application-tracker.csv + WebSearch + WebFetch company snapshot + 10-15 likely Qs + 5-8 STAR stories from real projects + 5 smart asks + 3 red flags
/job-patterns application-tracker.csv + outreach-log.csv rejection diagnostics (by ATS / time-to-rej / geography / role-type / day-of-week) + 3 actionable fixes

Read the full file on GitHub · 236 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. yesterday First seen · 236 lines · 4,101 tokens per session scan B c4c149d661af

Subscribe to this mod's changes

ai-job-agent CLAUDE.md is an instructions file published in the GitHub repository AkbarDevop/ai-job-agent (53 stars, last pushed 4mo ago), licensed MIT. It adds 4,101 tokens to every session, about $0.0205 per session on Opus 5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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