finalize-resume

finalize-resume is a skill for Claude Code, Codex from dcassil/resume-kit. It costs 43 tokens per session (695 once invoked), scanned A, original, Apache-2.0.

A final resume check and export step that fits an already tailored resume to a specific job and produces the finished document.

In plain words
What is it for?
Use it after tailoring to assess job fit and export the resume as a downloadable PDF or DOCX.
Why use it?
It prevents preparation or tailoring work from being mixed into the final stage and checks the rendered result before delivery.

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/finalize-resume
Any agent
npx skills add dcassil/resume-kit --skill finalize-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 finalize-resume

README.md
[![agentmods](https://agentmods.dev/badge/skills/dcassil/resume-kit/finalize-resume.svg)](https://agentmods.dev/skills/dcassil/resume-kit/finalize-resume)
Your own site
<a href="https://agentmods.dev/skills/dcassil/resume-kit/finalize-resume"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/finalize-resume.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 695 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 $0.00043 $0.00695
Opus 5 $0.00022 $0.00347
Sonnet 5 $0.00009 $0.00139
Haiku 4.5 $0.00004 $0.00069

Measured 4d ago against content hash 9056034a0ff6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

finalize-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/finalize-resume/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

finalize-resume — tailored resume → fitted export

Flow 4 of the composable resume workflow. Run this after tailor-resume has already produced a tailored resume for the active job. This flow owns the final fit pass through perfect, then the rendered artifact pass through export-resume.

It does not prepare the master resume, ingest a job, learn terminology, or apply tailoring updates. It only fits and exports the already-tailored resume.

Prerequisites

Run the shared Prerequisites gate../_shared/prerequisites.md.

  • Required inputs: a tailored ResumeDocument JSON and an active_job JobDescription JSON.
  • If no tailored resume exists: STOP and run tailor-resume first.
  • If no active job exists: STOP and run ingest-job first.
  • If the resume JSON is missing: STOP and run parse-resume, then the preparation and tailoring flows before finalizing.

The walkthrough

  1. perfect. Run perfect with resume-tool fit against the tailored resume and active job. Use either the decision-driven path or explicit --auto-fit. For decision-driven trims, preserve the explicit decision/accounting behavior: removals must be accepted by the user or ranked-budget-accounted automated drops, compressions must pass the claim gate, and deferred items remain reported rather than invented or forced.
  2. export-resume. Run export-resume after perfect writes the fitted resume. Export enforces the rendered max_pages HARD gate. Fit is not submission-ready until export passes: rendered output is authoritative; perfect may warn or fit to budgets, but it does not replace the export page gate.

How to invoke

CLI

resume-tool fit --root . [--job <jobs/job.json>] [--output {json,text,md}]
resume-tool fit --root . [--job <jobs/job.json>] --auto-fit [--output {json,text,md}]
resume-tool export --format {pdf,docx} [--out PATH] [--resume <resume.json>]

Read the full file on GitHub · 69 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 · 69 lines · 43 tokens per session scan A 9056034a0ff6

Subscribe to this mod's changes

finalize-resume is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 24d ago), licensed Apache-2.0. It adds 43 tokens to every session and 695 once invoked, about $0.0002 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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