job-application-assistant

A job-application helper that evaluates job postings, compares them with a candidate’s background, and prepares application materials and interview preparation.

In plain words
What is it for?
It is for assessing job fit, researching employers, tailoring CVs and cover letters, deciding whether to contact an employer, and preparing for interviews.
Why use it?
It reduces the work of interpreting a posting and adapting the application to the employer’s needs.

Skill for Claude CodeCodex

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 skills/madslorentzen/ai-job-search/job-application-assistant
Any agent
npx skills add MadsLorentzen/ai-job-search --skill job-application-assistant
Clone the repo
git clone --depth 1 https://github.com/MadsLorentzen/ai-job-search

Made for: Claude Code, Codex.

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,123 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00067 $0.01123
Opus 5 $0.00034 $0.00562
Sonnet 5 $0.00013 $0.00225
Haiku 4.5 $0.00007 $0.00112

Measured 2d ago against content hash c8b624e90a77, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

job-application-assistant 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.claude/skills/job-application-assistant/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Job Application Assistant


Workflow

When the user provides a job posting (URL or text), follow this workflow:

Step 1: Research & Evaluate Fit

  • Fetch the job posting content (use WebFetch for URLs). A 403 is not a dead end - follow the escalation order in 09-web-research.md before concluding a page is unavailable, and prefer the employer's own careers posting over an aggregator listing
  • Keep the full posting text verbatim for Step 3b to archive - never a summary
  • Analyze the posting for required competencies, keywords, and priorities
  • Research the company (website, LinkedIn, mission, recent news), per 09-web-research.md
  • Score the posting against the candidate's profile using the framework in 04-job-evaluation.md
  • Present the evaluation table and verdict
  • Suggest whether the candidate should call the employer before applying (see 04-job-evaluation.md for guidance)
  • Ask the user if they want to proceed with an application

Step 2: Tailor CV

  • Before writing either document, derive <company>_<role> once by the Subfolder naming rule in documents/README.md; reuse that exact value for the CV, cover letter, and Step 3b archive path. If the rule says to stop because the derived name is empty, stop before creating any file.
  • Read the most relevant existing CV variant from cv/ as a starting point
  • Follow the guidelines in 05-cv-templates.md
  • Create cv/main_<company>_<role>.tex with tailored content
  • Adjust: profile statement, skills section, experience bullet emphasis, section order

Step 3: Write Cover Letter

  • Follow the writing style rules in 03-writing-style.md (critical: no em-dashes, no cliches)
  • Follow the template structure in 06-cover-letter-templates.md
  • Create cover_letters/cover_<company>_<role>.tex
  • Ensure the letter connects specific experience to the role requirements

Step 3b: Record the Application

  • Run this once both documents exist. A CV or cover letter drafted alone is not yet an application.
  • Follow /apply Step 6b (.claude/commands/apply.md) exactly: same header, same match-then-update rule, same drafted row, same posting archive, same prohibition on touching job_scraper/seen_jobs.json. It is stated there once so the two paths cannot drift. Four of its values are named in /apply's own terms: cv_file/cover_letter_file are the paths written in Steps 2 and 3 here, source is the posting URL from Step 1, deadline is the application deadline from the posting text Step 1 keeps verbatim (empty when the posting states none - never guess one), and the posting text item 7 archives is the one Step 1 read.
  • This step exists here because /scrape Step 5 routes straight into this skill. Without it, that path writes two documents and records nothing.

Read the full file on GitHub · 79 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 79 lines · 67 tokens per session scan A c8b624e90a77

Subscribe to this mod's changes

job-application-assistant is a skill published in the GitHub repository MadsLorentzen/ai-job-search (39,400 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 1,123 once invoked, about $0.0003 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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