What is parse-resume?

A resume-file reader that turns a PDF, DOCX, Markdown, or plain-text resume into structured resume data.

Use it to prepare a resume for checking its structure, matching job keywords, validating facts, comparing versions, finding gaps, collecting evidence, or exporting it.

It removes the need to work directly with an unstructured document and provides the format required by other resume tools.

parse-resume — Skill for Claude Code and Codex by dcassil: A resume-file reader that turns a PDF, DOCX, Markdown…

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/parse-resume

Any agent

npx skills add dcassil/resume-kit --skill parse-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/parse-resume.svg)](https://agentmods.dev/skills/dcassil/resume-kit/parse-resume)

Your own site

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

Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,819 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	$0.00133	$0.03819
Opus 5	$0.00067	$0.01910
Sonnet 5	$0.00027	$0.00764
Haiku 4.5	$0.00013	$0.00382

Measured 3d ago against content hash 47dc1d7d7ab4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

parse-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 3d 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/parse-resume/SKILL.md · 317 lines

How it starts

The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Renamed: parse-resume was resume-to-json before v1.0.0 (see RIT-A-0005).

parse-resume — build a ResumeDocument from a resume file

Prerequisites

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

Required input: a source resume file path (PDF, DOCX, Markdown, or plain text) provided by the caller.
If it is missing: STOP and ask the caller for the source resume file path. There is no upstream skill — this skill is itself the first step that produces the ResumeDocument JSON others depend on.

Purpose

Every resume-intelligence capability that takes a resume (check-structure, check-keywords, validate-facts, select-resume, compare-versions, check-gaps, extract-evidence, export-resume) operates on a structured ResumeDocument JSON — not on a raw PDF/DOCX/MD file. This skill turns a document into that JSON.

You are the interpreter, not the converter. The pipeline is deterministic on both ends:

resume-tool extract-text <source> performs the extraction (no LLM, no guessing at binary formats).
A confined interpretation subagent maps the extracted text into the ResumeDocument schema. This is the only step where judgment is applied.
resume-tool validate-faithfulness is the authoritative machine gate — it exits non-zero if the JSON drifts from the source, and nothing is saved until it passes.

Your role is confined to step 2. Do not treat your own eyeballing as the final faithfulness check — the CLI gate is.

Before you start: read prior learnings

Read resume-kit/learning/parse-resume.md (if it exists) first — it accumulates gotchas from earlier runs. When you discover a NEW gotcha, append it there so the next agent does not rediscover it.

Steps (orchestration spine)

Ensure the working dir exists. If resume-kit/ is not present in the current project, run:
```
resume-tool init
```
(resume-tool init [--root .] is idempotent — safe to run even if some of resume-kit/ already exists. It scaffolds config.json, resumes/, jobs/, working/, and learning/.)

Read the full file on GitHub · 317 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.

3d ago First seen · 317 lines · 133 tokens per session scan A 47dc1d7d7ab4

Subscribe to this mod's changes

parse-resume is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 23d ago), licensed Apache-2.0. It adds 133 tokens to every session and 3,819 once invoked, about $0.0007 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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