job-application-helper

job-application-helper is a skill for Claude Code, Codex from jasonjgarcia24/ai-assisted-job-search. It costs 153 tokens per session (3,367 once invoked), scanned A, original, MIT.

A guide for adapting resumes and cover letters to a specific job posting. It focuses on including relevant words and experience so automated hiring systems and recruiters can understand the application.

In plain words
What is it for?
Use it to update a resume, write or tailor a cover letter, match experience to a role, and prepare application materials for automated screening.
Why use it?
It reduces the gap between an applicant's existing materials and the requirements in a job description. It also helps keep the documents readable while making relevant qualifications easier to find.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit Use it to update a resume, write or tailor a cover letter, match experience to a role, and prepare application materials for automated screening.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jasonjgarcia24/ai-assisted-job-search/job-application-helper
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 jasonjgarcia24/ai-assisted-job-search --skill job-application-helper
Clone the repo
git clone --depth 1 https://github.com/jasonjgarcia24/ai-assisted-job-search

Made for: Claude Code, Codex.

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 job-application-helper

README.md
[![agentmods](https://agentmods.dev/badge/skills/jasonjgarcia24/ai-assisted-job-search/job-application-helper/github.svg)](https://agentmods.dev/skills/jasonjgarcia24/ai-assisted-job-search/job-application-helper)
Your own site
<a href="https://agentmods.dev/skills/jasonjgarcia24/ai-assisted-job-search/job-application-helper"><img src="https://agentmods.dev/badge/skills/jasonjgarcia24/ai-assisted-job-search/job-application-helper/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 job-application-helper

Your own site · 80×15
<a href="https://agentmods.dev/skills/jasonjgarcia24/ai-assisted-job-search/job-application-helper"><img src="https://agentmods.dev/badge/skills/jasonjgarcia24/ai-assisted-job-search/job-application-helper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,367 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00153 $0.03367
Opus 5 $0.00077 $0.01684
Sonnet 5 $0.00031 $0.00673
Haiku 4.5 $0.00015 $0.00337

Measured 12d ago against content hash 6a57ba390ae3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

job-application-helper 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.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/cleanup_unpacked.sh, scripts/create_tailored_resume.sh, scripts/prepare_resume.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-application-helper/SKILL.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Job Application Tailoring

Source Documents

  • Baseline Resume: assets/Jason_J_Garcia-RESUME.docx (MUST be edited via XML, never recreated)
  • LinkedIn Profile: https://www.linkedin.com/in/24-jason-j-garcia/ (for additional experience details)
  • Cover Letter Template: assets/Jason_J_Garcia-COVERLETTER.md (for formatting structure)
  • Target Companies List: references/list_of_target_companies.md

Core Principles

LinkedIn Parsing System (LPS) Optimization

Modern employers use LPS to screen resumes before human review. Your materials must:

  • Include targeted keywords from the job description (especially in the first third of the resume)
  • Use industry-standard terminology and role-specific language
  • Avoid verbose descriptions that dilute keyword density
  • Structure content for both machine parsing and human readability
  • Quantify achievements with specific metrics
  • Align experience descriptions with job requirements using parallel language

Critical: If a resume lacks proper formatting, targeted keywords, or alignment with job-specific requirements, it will be rejected before reaching human eyes. Issues like verbose descriptions, weak KSA (Knowledge, Skills, Abilities) responses, or outdated templates render applications invisible.

Applicant Tracking System (ATS) Optimization

ATS software parses and stores resume data before human review. Ensure materials are ATS-compatible:

  • File format: Always submit .docx for initial applications — PDFs may not parse correctly in all ATS platforms
  • Standard section headers: Use recognizable headers (e.g., "Experience", "Education", "Technical Skills") so ATS can map content to the correct fields
  • Parseable structure: Avoid tables, text boxes, multi-column layouts, and content in headers/footers — ATS systems often skip or misparse these elements
  • Simple formatting: Use standard fonts (Calibri, Arial, Times New Roman) and avoid graphics, icons, or decorative elements that interfere with text extraction
  • Contact info placement: Place name, email, phone, and LinkedIn URL in the main document body (not in a header/footer) so ATS can extract them into candidate fields

Read the full file on GitHub · 278 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. 12d ago First seen · 278 lines · 153 tokens per session scan A 6a57ba390ae3

Subscribe to this mod's changes

job-application-helper is a skill published in the GitHub repository jasonjgarcia24/ai-assisted-job-search (11 stars, last pushed 6mo ago), licensed MIT. It adds 153 tokens to every session and 3,367 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 2026-08-31.

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