parse-job

parse-job is a skill for Claude Code from dcassil/resume-kit. It costs 140 tokens per session (2,563 once invoked), scanned A, original, Apache-2.0.

A job-posting reader that turns pasted text, URL content, or a PDF, DOCX, Markdown, or plain-text file into structured job requirements and keywords.

In plain words
What is it for?
Use it to prepare a job description for resume structure checks, keyword matching, and gap analysis.
Why use it?
It converts a posting into the format needed for meaningful resume checks instead of treating it as raw text with no organized skills.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

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

Good fit Use it to prepare a job description for resume structure checks, keyword matching, and gap analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dcassil/resume-kit/parse-job
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.

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

Made for: Claude Code.

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 parse-job

README.md
[![agentmods](https://agentmods.dev/badge/skills/dcassil/resume-kit/parse-job/github.svg)](https://agentmods.dev/skills/dcassil/resume-kit/parse-job)
Your own site
<a href="https://agentmods.dev/skills/dcassil/resume-kit/parse-job"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/parse-job/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 parse-job

Your own site · 80×15
<a href="https://agentmods.dev/skills/dcassil/resume-kit/parse-job"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/parse-job.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,563 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 $0.00140 $0.02563
Opus 5.5 $0.00056 $0.01025
Sonnet 5.5 $0.00028 $0.00513
Haiku 4.5 $0.00014 $0.00256

Measured 1mo ago against content hash a291bccdb776, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

parse-job 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 1mo 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-job/SKILL.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

parse-job — build a JobDescription from a posting

Prerequisites

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

  • Required input: the job posting as pasted text, a URL's content, or a PDF/DOCX/MD/text file — provided by the caller.
  • If it is missing: STOP and ask the caller for the posting text, URL, or file. There is no upstream skill — this skill is itself the first step that produces the JobDescription JSON others depend on.

Purpose

check-structure, check-keywords, and check-gaps score a resume against a JobDescription. Deterministic text extraction only captures the raw text — it does NOT populate the structured requirements and keywords, so skills_coverage comes back 0. This skill fixes that: a confined interpretation subagent extracts the structured skills/requirements from the posting so scoring is meaningful — no LLM provider required.

Same shape as parse-resume: extraction is deterministic, interpretation is confined to a subagent, and the pointer is recorded by code (set-active), not by hand-editing config.json.

Which gate applies

resume-tool validate-faithfulness targets a ResumeDocument — it is the authoritative machine gate for parse-resume, not for job postings. Do NOT force the resume faithfulness gate on a JobDescription. For jobs, the faithfulness discipline is enforced by the prose Extraction gates below, which the interpretation subagent must follow (chiefly: raw_text is verbatim and no skills/requirements are invented). If a JSON-schema round-trip is available (JobDescription.model_validate(...)), run it — that is a schema check, still not the resume faithfulness gate.

Before you start: read prior learnings

Read resume-kit/learning/parse-job.md (if present) first, and append any new gotcha you hit so future runs benefit.

Read the full file on GitHub · 227 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. 1mo ago First seen · 227 lines · 140 tokens per session scan A a291bccdb776

Subscribe to this mod's changes

parse-job is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 140 tokens to every session and 2,563 once invoked, about $0.0006 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 2026-08-31.

Related

Other skills, from other repositories

orbit-notion

Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…

nexu-io/open-design · 117 tokens

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

apify-youtube-transcript-scraper

Get YouTube captions, timestamped quotations, SRT/VTT and translated transcripts for videos, channels and playlists through the harshmaur/youtube-transcript-scraper Apify Actor.

sickn33/agentic-awesome-skills · 48 tokens

legal-hold

Issue, refresh, release, or report on legal holds — drafts the hold notice as .docx, updates legalhold fields in log.yaml, and calendars the next refresh. Use when the user says "issue a hold", "refresh hold", "release hold", or asks for a portfolio-wide hold status report.

anthropics/claude-for-legal · 68 tokens

baoyu-youtube-transcript

A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.

JimLiu/baoyu-skills · 107 tokens

feishu

Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.

Hmbown/CodeWhale · 33 tokens