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/style-check/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/style-check)<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/style-check"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/style-check/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/style-check"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/style-check.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 | $0.00014 | $0.01836 |
| Opus 5 | $0.00007 | $0.00918 |
| Sonnet 5 | $0.00003 | $0.00367 |
| Haiku 4.5 | $0.00001 | $0.00184 |
Grade A, and why
style-check 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Style Check Skill
When this skill is invoked, analyze the provided text for violations of the academic writing standards in .claude/rules/academic-writing.md.
Examples
/style-check-- check the current .tex file/style-check introduction-- check only the introduction section/style-check projects/my_paper/latex/main.tex-- check a specific file
Input
The user provides a .tex file path or text block to analyze.
Workflow
- Read
.claude/rules/academic-writing.mdfor the full rule set - Read the project's
CLAUDE.mdfor project-specific terminology - Read the target text (from file path or section markers)
- Run all 13 analysis categories below
- Check citations against the project's
.bibfile - Produce the structured report
Analysis Categories
1. Banned Word Scan
Check for all terms in academic-writing.md Section 1 and flag each occurrence:
- delve, crucial, comprehensive, multifaceted, utilize, leverage, facilitate
- endeavor, paramount, myriad, plethora, noteworthy
- "it is important to note", "it should be noted", "in this regard"
- "the fact that", "in order to", "due to the fact that"
- "a number of", "the vast majority of", "at the present time"
- "in the context of", "with respect to", "in terms of", "as such"
- All AI-marker words: underscores, showcasing, pivotal, intricate, meticulous, illuminate, unveil, bolster, realm, landscape, foster, encompass, aligns with, shed light on, profound, grappling, etc.
2. Throat-Clearing Detection
Flag openings that don't state a concrete finding:
- "The literature has long..."
- "Financial economists have wondered..."
- "An important question..."
- "Recent years have witnessed..."
- "It is well known that..."
- "There has been growing interest in..."
- "A growing body of literature..."
3. Passive Voice Check
Flag passive constructions:
- "it is shown that" -> "we show that"
- "it was found that" -> "we find that"
- "can be seen" -> "shows"
- "has been documented" -> "[Author] documents"
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.
- 12d ago First seen · 183 lines · 14 tokens per session scan A 953bc4b49ad0
style-check is a skill published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 1,836 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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