claude-resume-kit: Skill for Claude Code

.claude/skills/setup-extract/SKILL.md

setup-extract is a skill for Claude Code from ARPeeketi/claude-resume-kit. It costs 16 tokens per session (1,656 once invoked), scanned A, original, MIT.

A workflow for extracting structured information from research papers, PDFs, or code into a knowledge base. It can process one or more supplied files and track existing extractions.

In plain words
What is it for?
Use it to extract information from papers, PDF files, LaTeX sources, research reports, or code.
Why use it?
It turns source documents into organized notes while helping avoid duplicate work.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions CLAUDE.md.

This is ARPeeketi/claude-resume-kit's own configuration. It tells Claude Code how to work on claude-resume-kit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-resume-kit configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ARPeeketi/claude-resume-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ARPeeketi/claude-resume-kit/main/.claude/skills/setup-extract/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ARPeeketi/claude-resume-kit

Made for: Claude Code.

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 setup-extract

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/arpeeketi/claude-resume-kit/setup-extract"><img src="https://agentmods.dev/badge/skills/arpeeketi/claude-resume-kit/setup-extract.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,656 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 $0.00016 $0.01656
Opus 5 $0.00008 $0.00828
Sonnet 5 $0.00003 $0.00331
Haiku 4.5 $0.00002 $0.00166

Measured 9d ago against content hash cf200f205565, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

setup-extract 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 9d 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.

.claude/skills/setup-extract/SKILL.md · 171 lines

How it starts

The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/setup-extract

User input: $ARGUMENTS

Parse $ARGUMENTS:

  • File path to a paper (e.g., papers/Smith2024_catalyst.pdf, papers/project_report.tex) → read that file
  • Multiple paths separated by spaces → batch mode (process each sequentially)
  • Empty → ask the user for the paper path or paste content

Startup

  1. Read CLAUDE.md — check KB Corrections Log for known issues
  2. Read config.md — load Personal Info (to identify user's author position), Provenance Flags
  3. Read knowledge_base/extractions/_INVENTORY.md — see what's already extracted, avoid duplicates

If the paper is already in the inventory:

  • Show the existing extraction path
  • Ask: "This paper is already extracted. Re-extract (overwrite) or skip?"
  • Wait for user response before proceeding

Phase 1: Read & Understand the Paper

Read the paper using the appropriate method:

  • PDF files: Use the Read tool (supports PDF reading)
  • .tex source: Read directly — often has more detail than the compiled PDF
  • If both exist: Prefer .tex for content extraction, use PDF for figures/tables

While reading, collect:

  1. Full title, all authors, year, journal/venue, DOI (if available)
  2. The user's position in the author list (first, co-first, second, middle, last, corresponding)
  3. Publication status (check config.md Provenance Flags first, then infer: published / under review / draft / internal)
  4. All computational methods, experimental techniques, software, and frameworks mentioned
  5. Quantitative results — speedups, accuracies, efficiencies, improvements over baselines
  6. Novelty claims — "first-ever", "new framework", "novel approach", etc.
  7. Collaboration indicators — other groups, institutions, shared resources
  8. Funding acknowledgments

Progress: "Reading paper... [title] by [first author] et al., [year]"


Phase 2: Clarify User's Role

If the user's contribution is not obvious from the paper (common for multi-author work), ask:

Questions to ask (skip any that are already clear from the paper):

  1. "What was your specific contribution? (e.g., all computational work, specific analysis, code development)"
  2. "Did you develop any tools, methods, or code used in this paper?"
  3. "Were there other groups or institutions involved? What was your group's role?"
  4. "Any quantitative results you can personally claim? (e.g., 'I ran all the simulations')"
  5. "Is there anything in this paper that should NOT appear on your resume? (e.g., collaborator's experimental data)"

Read the full file on GitHub · 171 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. 9d ago First seen · 171 lines · 16 tokens per session scan A cf200f205565

Subscribe to this mod's changes

setup-extract is a skill published in the GitHub repository ARPeeketi/claude-resume-kit (239 stars, last pushed 6mo ago), licensed MIT. It adds 16 tokens to every session and 1,656 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 2026-08-30.

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