ai-asset-pricing: Skill for Claude Code

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

edit-section is a skill for Claude Code from Alexander-M-Dickerson/ai-asset-pricing. It costs 15 tokens per session (877 once invoked), scanned A, original, MIT.

An editing workflow for revising an existing section of an academic paper. It examines the text, applies the project's writing standards, and improves style, clarity, structure, and correctness.

In plain words
What is it for?
Use it to clean up style, revise content, reorganize a section, or address specific feedback in a LaTeX paper.
Why use it?
It helps turn a rough or confusing section into clearer prose while keeping its claims and the paper's required conventions in view.

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 →

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/edit-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 edit-section

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/edit-section"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/edit-section.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 877 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 $0.00015 $0.00877
Opus 5.5 $0.00006 $0.00351
Sonnet 5.5 $0.00003 $0.00175
Haiku 4.5 $0.00002 $0.00088

Measured 2mo ago against content hash 308c05c79766, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

edit-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/edit-section/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Edit Section Skill

When this skill is invoked, follow this structured workflow to revise an existing section of the paper.

Input

The user specifies which section to edit (file path or section key) and what kind of revision (style cleanup, content revision, restructuring, or specific feedback to address).

Workflow

Step 1: Read Current Text

  1. Read the target section from main.tex
  2. Note the current structure, length, and key claims

Step 2: Load Standards

  1. Read .claude/rules/academic-writing.md for banned words, terminology, and style rules
  2. Read .claude/rules/banned-words.md for the full banned-word list
  3. Read guidance/paper-context.md for correct claims, numbers, and paper framing (if it exists)

Step 3: Diagnose Issues

Run through each check category:

A. Banned Words (read banned-words.md for the full current list; key examples: delve, crucial, comprehensive, utilize; AI markers: underscores, showcasing, pivotal, intricate, encompass, aligns with; previewing: "as we show below", "Recall from"; filler: of course, obviously, in other words) B. Opening Quality -- Does sentence 1 state a concrete finding? C. Voice and Tense -- Flag passive constructions D. Quantitative Precision -- Numbers instead of adjectives; cross-check against paper-context.md if available E. Terminology -- If guidance/paper-context.md defines a terminology table, check compliance. Otherwise flag any terms used inconsistently within the section. F. Self-Praise -- Flag "striking", "important contribution", "novel" G. Concision -- Cut repeated ideas, "in other words", sentences that don't earn their place H. Em-Dashes -- No --- in prose (rewrite with commas, semicolons, colons, or parentheses) I. Structural AI Tells -- Check for patterns from academic-writing.md: naked "this" without noun, "Importantly,"/"Notably,"/"Specifically," as sentence openers, "Together, these results..." openers (max 1/paper), "In this section, we..." throat-clearing, "This finding" repetition (max 1/paper), "Overall," as paragraph opener. Check soft-ban counts: "highlights" (max 2/paper), "insights" (max 1/paper) J. Hedge Words -- Delete or quantify: somewhat, quite, very (intensifier), rather (hedge), arguably, perhaps. Replace with magnitudes. (See academic-writing.md "Kill Hedge Words") K. Nominalizations -- Prefer verbs: "conduct an analysis" → "analyze", "provide evidence" → "show". (See academic-writing.md "Prefer Verbs over Nominalizations")

Read the full file on GitHub · 63 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 · 63 lines · 15 tokens per session scan A 308c05c79766

Subscribe to this mod's changes

edit-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 15 tokens to every session and 877 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.

Related

edit-section compared with skills from other repositories

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