select-resume

select-resume is a skill for Claude Code, Codex from dcassil/resume-kit. It costs 27 tokens per session (759 once invoked), scanned A, original, Apache-2.0.

A selector that ranks two or more resume versions against a job description and returns the best match. It does not require a language model.

In plain words
What is it for?
Use it to compare candidate resume files for one job, provided the resumes and job description have first been converted into the tool's structured JSON format.
Why use it?
It removes guesswork when someone keeps several resume variants for different roles.

Skill for Claude CodeCodex

Part of the resume-intelligence plugin — 31 skills, 1 command, 1 hook shipped together

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/dcassil/resume-kit/select-resume
Any agent
npx skills add dcassil/resume-kit --skill select-resume
Clone the repo
git clone --depth 1 https://github.com/dcassil/resume-kit

Made for: Claude Code, Codex.

Or install resume-intelligence, the plugin that ships this one along with the rest of its 31 skills, 1 command, 1 hook.

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 select-resume

README.md
[![agentmods](https://agentmods.dev/badge/skills/dcassil/resume-kit/select-resume.svg)](https://agentmods.dev/skills/dcassil/resume-kit/select-resume)
Your own site
<a href="https://agentmods.dev/skills/dcassil/resume-kit/select-resume"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/select-resume.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 759 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 5.1 $0.00027 $0.00759
Opus 5 $0.00014 $0.00380
Sonnet 5 $0.00005 $0.00152
Haiku 4.5 $0.00003 $0.00076

Measured 4d ago against content hash a1fd860d2b49, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

select-resume 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 4d 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.

plugins/resume-intelligence/skills/select-resume/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Renamed: select-resume was select-best-resume before v1.0.0 (see RIT-A-0005).

Inputs must be canonical JSON. This capability consumes a resume as a ResumeDocument JSON (build it from a PDF/DOCX/MD/text file with the parse-resume skill) and, where a job is involved, a JobDescription JSON (build it with parse-job so skills-coverage scoring works). Run those conversions in subagents, then pass the saved JSON paths here — they live under resume-kit/resumes/ and resume-kit/jobs/.

Prerequisites

Run the shared Prerequisites gate first — see _shared/prerequisites.md.

  • Required inputs: a set of candidate ResumeDocument JSONs (two or more) and a JobDescription JSON (config.json active_job or an explicit path).
  • If missing: STOP and name the upstream skill — any missing resume JSON → run parse-resume; missing job JSON → run parse-job.

Purpose

Rank a collection of ResumeDocument objects against a JobDescription and return the best match as a ResumeSelectionResult. Useful when a candidate maintains multiple resume variants.

When to use

  • When the user has two or more resume versions and needs to pick the right one to submit for a job.
  • As a pre-step before deciding whether alignment is worth running.

Inputs

Field Type Notes
resumes list[ResumeDocument] At least one resume; order does not matter
job JobDescription The target job
labels list[str] | null Optional human-readable names for each resume (parallel to resumes)

Options (CapabilityOptions)

Option Default Effect
strict false Escalate advisory warnings to failures

no_llm has no effect — this capability is always deterministic.

How to invoke

CLI

resume-tool select --resumes <r1.json> <r2.json> --job <job.json> \
    [--labels "version-a" "version-b"] \
    [--output {json,text,md}] [--strict]

Read the full file on GitHub · 82 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. 4d ago First seen · 82 lines · 27 tokens per session scan A a1fd860d2b49

Subscribe to this mod's changes

select-resume is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 24d ago), licensed Apache-2.0. It adds 27 tokens to every session and 759 once invoked, about $0.0001 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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