What is export-resume?

A document renderer that turns structured resume data into a downloadable PDF or DOCX file.

Use it to produce a finished PDF or Word document from a canonical resume record, optionally alongside structured job data.

It removes the need to format the resume manually or use a browser-based page renderer.

export-resume — Skill for Claude Code and Codex by dcassil: A document renderer that turns structured resume data into…

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/export-resume

Any agent

npx skills add dcassil/resume-kit --skill export-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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dcassil/resume-kit/export-resume.svg)](https://agentmods.dev/skills/dcassil/resume-kit/export-resume)

Your own site

<a href="https://agentmods.dev/skills/dcassil/resume-kit/export-resume"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/export-resume.svg" alt="Measured on agentmods" height="20"></a>

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,367 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.

Model	Per session	Once invoked
Fable 5	$0.00058	$0.01367
Opus 5	$0.00029	$0.00683
Sonnet 5	$0.00012	$0.00273
Haiku 4.5	$0.00006	$0.00137

Measured 4d ago against content hash 6fb5c6c064a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

export-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/export-resume/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 input: a ResumeDocument JSON (config.json active_resume, a resume-kit/working/<session>/resume.json, or an explicit path).
If missing: STOP and run parse-resume to produce the ResumeDocument JSON before exporting.

Purpose

Render a ResumeDocument to bytes and persist them through an ArtifactStore. The response data field carries an ArtifactRef (also present in artifacts) that the caller uses to retrieve the rendered bytes — raw bytes are never embedded directly in the envelope. The artifact id is deterministic: callers may supply an explicit artifact_id; otherwise it is derived from a SHA-256 hash of the format plus the rendered content (no UUIDs, timestamps, or random values).

When to use

When the user wants a finished, downloadable resume file (PDF or DOCX).
After update-keywords, update-terminology, or any editing step, to produce the final artifact.
When a downstream system requires a binary file rather than a JSON document.

Inputs

Field	Type	Notes
`resume`	`ResumeDocument`	The resume to render
`format`	`"pdf" \| "docx"`	Output format
`options`	`ExportOptions \| null`	Optional render options (see below)
`artifact_id`	`str \| null`	Optional explicit artifact id; omit for deterministic hash

ExportOptions (all fields optional; defaults shown)

Option	Default	Effect
`font_family`	`"Helvetica"`	Base font family name
`font_size_pt`	`11`	Body font size in points
`margin_mm`	`20.0`	Page margin in millimetres (all sides)
`include_hyperlinks`	`true`	Render URLs as clickable hyperlinks when supported
`page_size`	`"letter"`	Page size identifier: `"letter"` or `"a4"`

Read the full file on GitHub · 125 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.

4d ago First seen · 125 lines · 58 tokens per session scan A 6fb5c6c064a3

Subscribe to this mod's changes

export-resume is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 24d ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,367 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 2026-08-31.

Documents PDF

pydicom

Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.

K-Dense-AI/scientific-agent-skills · 56 tokens

foundry-hosted-agent-validation

Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.

microsoft/agent-framework · 82 tokens

export-resume