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.
curl -O https://raw.githubusercontent.com/Alexander-M-Dickerson/ai-asset-pricing/main/.claude/skills/extract-section/SKILL.mdgit clone --depth 1 https://github.com/Alexander-M-Dickerson/ai-asset-pricingWrote 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.
[](https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/extract-section)<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.
<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>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 5.1 | $0.00012 | $0.00343 |
| Opus 5 | $0.00006 | $0.00171 |
| Sonnet 5 | $0.00002 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00034 |
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 11d 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.
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
- Read
main.tex - Find
%% BEGIN:<key>and%% END:<key>markers - Extract all content between the markers (inclusive)
- 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.
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.
- 11d ago First seen · 46 lines · 12 tokens per session scan A 299893aab11e
extract-section is a skill published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 4mo ago), licensed MIT. It adds 12 tokens to every session and 343 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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