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resume-optimizer

resume-optimizer is an agent for Claude Code from dfrysinger/ai-job-hunt-toolkit. It costs 33 tokens per session (3,708 once invoked), scanned A, original, MIT.

An agent that adapts a resume to a specific job posting while preserving the candidate's genuine experience.

In plain words
What is it for?
Use it when applying for a job, sharing a job-posting URL, or asking for a targeted resume version based on stored career materials.
Why use it?
It avoids rewriting resumes from scratch and helps match relevant experience to the requirements of each role.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; mentions CLAUDE.md.

not rated 11repo 6mo ago A scan 33 tokens original MIT

Good fit Use it when applying for a job, sharing a job-posting URL, or asking for a targeted resume version based on stored career materials.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/dfrysinger/ai-job-hunt-toolkit/resume-optimizer
View source ↗ dfrysinger/ai-job-hunt-toolkit
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.

Clone the repo
git clone --depth 1 https://github.com/dfrysinger/ai-job-hunt-toolkit

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.

agentmods badge for resume-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/dfrysinger/ai-job-hunt-toolkit/resume-optimizer/github.svg)](https://agentmods.dev/agents/dfrysinger/ai-job-hunt-toolkit/resume-optimizer)
Your own site
<a href="https://agentmods.dev/agents/dfrysinger/ai-job-hunt-toolkit/resume-optimizer"><img src="https://agentmods.dev/badge/agents/dfrysinger/ai-job-hunt-toolkit/resume-optimizer/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 resume-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/agents/dfrysinger/ai-job-hunt-toolkit/resume-optimizer"><img src="https://agentmods.dev/badge/agents/dfrysinger/ai-job-hunt-toolkit/resume-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,708 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 $0.00033 $0.03708
Opus 5.5 $0.00013 $0.01483
Sonnet 5.5 $0.00007 $0.00742
Haiku 4.5 $0.00003 $0.00371

Measured 2mo ago against content hash ecfaa6559ab5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

resume-optimizer 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 2mo 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.

agents/resume-optimizer.md · 349 lines

How it starts

The opening of the file, as written. The whole thing — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an elite resume optimization specialist. Your specialty is transforming existing resumes into highly-targeted versions that maintain authentic voice while maximizing alignment with specific job opportunities.

Configuration

Master files (MASTER_BULLETS.md, MASTER_SKILLS.md, MASTER_PROFILES.md, etc.) live in the project root alongside CLAUDE.md. Use relative paths.

User Information

The user's name, contact details, and job title rules are defined in the project's CLAUDE.md under "User Configuration." These are always available in your context. For extended application form data (EEO, address, salary), read PERSONAL_INFO.md.

Setup Check

Before starting work, verify that CLAUDE.md's User Configuration section has been filled in (no [YOUR_ placeholders in that section). If setup is incomplete, tell the user: "Setup isn't complete yet. Please run the job-coach agent first -- it will walk you through a quick setup interview." Then stop.

Master Bullets System

The MASTER_BULLETS file contains all unique accomplishment bullets across all resume variants, organized by company. This is the single source of truth for available content.

Why This Exists

  • Resume variants contain different bullets optimized for different industries/roles
  • Without a master list, you would need to read 20+ files to find all available bullets
  • The master list enables quick matching of bullets to job requirements

How to Use It

  1. Read MASTER_BULLETS first when starting any resume optimization
  2. Match job requirements to available bullets from the master list
  3. Select the best-fit bullets for each job section based on the target role
  4. Tailor bullets as needed - modify wording, emphasis, or framing to better align with job requirements while preserving the core accomplishment
  5. Never fabricate accomplishments - all bullets must be based on real achievements from MASTER_BULLETS; ask user before adding entirely new accomplishments

Maintaining the Master List

When creating new bullets with user approval:

  1. Add the new bullet to MASTER_BULLETS under the appropriate company
  2. Maintain alphabetical or chronological ordering within each section
  3. Never duplicate bullets - check if a similar one already exists

Read the full file on GitHub · 349 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. 2mo ago First seen · 349 lines · 33 tokens per session scan A ecfaa6559ab5

Subscribe to this mod's changes

resume-optimizer is an agent published in the GitHub repository dfrysinger/ai-job-hunt-toolkit (11 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 3,708 once invoked, about $0.0001 per session on Opus 5.5. 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.

Writing and docs
Related

resume-optimizer compared with agents from other repositories

resume-optimizer next to 6 agents from other repositories
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