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ai-asset-pricing: Skill for Claude Code

.claude/skills/build-context/SKILL.md

build-context is a skill for Claude Code from Alexander-M-Dickerson/ai-asset-pricing. It costs 23 tokens per session (1,528 once invoked), scanned A, original, MIT.

A context-builder that reads a paper's LaTeX, Markdown, or PDF files and creates a guidance file summarizing the paper's important facts, terms, structure, and claims. LaTeX is a text-based format commonly used to write academic papers.

In plain words
What is it for?
Use it with a main.tex file, research notes, or a draft PDF before asking the agent to write, edit, or audit the paper.
Why use it?
It gives later writing and review tools a reliable reference for the paper, reducing the risk of changing numbers, terminology, or the author's intended argument.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

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 23 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/build-context/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 build-context

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/build-context"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/build-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,528 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 $0.00023 $0.01528
Opus 5.5 $0.00009 $0.00611
Sonnet 5.5 $0.00005 $0.00306
Haiku 4.5 $0.00002 $0.00153

Measured 2mo ago against content hash 1e7c07600820, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

build-context 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/build-context/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build Context Skill

Generate a structured guidance/paper-context.md file that captures everything Claude needs to know about a paper before writing, editing, or auditing it. This file is consumed by /audit-section, /check-consistency, /edit-section, /full-paper-audit, /audit-captions, and other writing skills.

Examples

  • /build-context main.tex -- build context from the paper's LaTeX source
  • /build-context draft.pdf -- build context from a PDF of the paper
  • /build-context notes.md main.tex -- combine author notes with LaTeX source
  • /build-context related_paper.pdf -- extract context from a related paper for reference
  • /build-context -- scan for main.tex or .pdf files in the current project and ask which to use

Input

One or more file paths. Supported formats:

  • .tex -- LaTeX source (richest; extracts section structure, labels, equations, citations)
  • .pdf -- PDF file (read with the Read tool; extracts prose content and structure)
  • .md -- Markdown notes (author's own description of the paper, key results, terminology)

If no arguments are provided, scan the current project directory for main.tex or *.pdf files and prompt the user to select.

Workflow

Step 1: Read Source Files

  1. Read each provided file
  2. For .tex: extract the full document
  3. For .pdf: read the PDF (use pages parameter for large files; start with first 10 pages, then continue if needed)
  4. For .md: read as-is (these are usually the author's own notes)

Step 2: Extract Paper Identity

From the source material, identify:

  • Title: from \title{} or document header
  • Authors: from \author{} or byline
  • Abstract: from \begin{abstract} or first section
  • Core contribution: 1-3 sentences summarizing what the paper does that is new

Step 3: Extract Key Results

Identify the paper's main quantitative and qualitative findings:

  • Primary results: the headline findings (with specific numbers if available)
  • Secondary results: supporting findings
  • Robustness: what robustness checks are performed
  • Null results: any important non-findings

Read the full file on GitHub · 184 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. 2mo ago First seen · 184 lines · 23 tokens per session scan A 1e7c07600820

Subscribe to this mod's changes

build-context is a skill published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 6mo ago), licensed MIT. It adds 23 tokens to every session and 1,528 once invoked, about $0.0001 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.

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build-context compared with skills from other repositories

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