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ai-asset-pricing: Skill for Claude Code

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

extract-section is a skill for Claude Code from Alexander-M-Dickerson/ai-asset-pricing. It costs 12 tokens per session (343 once invoked), scanned A, original, MIT.

A section extractor for academic papers written in LaTeX. It finds a named section in main.tex using the project's section markers and returns that section with line numbers.

In plain words
What is it for?
Use it to retrieve sections such as the introduction, data, methodology, results, conclusion, or appendices by their project-defined key.
Why use it?
It lets the agent or developer work on one part of a long paper without manually locating and copying the text.

Skill for Claude Code

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

This is Alexander-M-Dickerson/ai-asset-pricing's own configuration. It tells Claude Code how to work on ai-asset-pricing 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 ai-asset-pricing configures →

not rated 59repo 6mo ago A scan 12 tokens original MIT
View source ↗ Alexander-M-Dickerson/ai-asset-pricing
Reuse

Borrowing it

Nothing to install: this file belongs to Alexander-M-Dickerson/ai-asset-pricing. 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/Alexander-M-Dickerson/ai-asset-pricing/main/.claude/skills/extract-section/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Alexander-M-Dickerson/ai-asset-pricing

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 extract-section

README.md
[![agentmods](https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/extract-section/github.svg)](https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/extract-section)
Your own site
<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/extract-section"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/extract-section/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 extract-section

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/extract-section"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/extract-section.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 343 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 $0.00012 $0.00343
Opus 5.5 $0.00005 $0.00137
Sonnet 5.5 $0.00002 $0.00069
Haiku 4.5 $0.00001 $0.00034

Measured 2mo ago against content hash 299893aab11e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

extract-section 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 2mo 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/extract-section/SKILL.md · 46 lines

What it actually says

Extract Section Skill

Extract a specific section from main.tex for reading or editing.

Examples

  • /extract-section introduction -- extract the introduction
  • /extract-section data -- extract the data section
  • /extract-section results -- extract the results section
  • /extract-section internet-appendix -- extract the full Internet Appendix

Section Keys

Look up the project's section keys in its CLAUDE.md (under "LaTeX Section Keys"). The boilerplate template ships with these default keys:

Key Section
introduction Introduction
data Data
methodology Methodology
results Results
conclusion Conclusion
appendix-a Appendix A
internet-appendix Internet Appendix

Projects may register additional keys in their CLAUDE.md.

Workflow

  1. Read main.tex
  2. Find %% BEGIN:<key> and %% END:<key> markers
  3. Extract all content between the markers (inclusive)
  4. Return clean LaTeX with line numbers relative to main.tex

Marker format: Each section is delimited by %% BEGIN:<key> and %% END:<key> comment lines in main.tex. Use Grep to locate the markers, then Read to extract the content between them.

Output

The raw LaTeX content of the requested section, with line numbers relative to main.tex.

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. 2mo ago First seen · 46 lines · 12 tokens per session scan A 299893aab11e

Subscribe to this mod's changes

extract-section is a skill published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 6mo ago), licensed MIT. It adds 12 tokens to every session and 343 once invoked, about $0.0000 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 2026-08-30.

Documents
Related

extract-section compared with skills from other repositories

extract-section next to 6 skills from other repositories
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extract-sectionAlexander-M-Dickerson/ai-asset-pricingSkill596mo agoMITA12Claude Code
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