ai-asset-pricing: Skill for Claude Code

.claude/skills/check-consistency/SKILL.md

check-consistency is a skill for Claude Code from Alexander-M-Dickerson/ai-asset-pricing. It costs 16 tokens per session (801 once invoked), scanned A, original, MIT.

A quick scan for mismatched numbers, terms, and references across sections of an academic paper.

In plain words
What is it for?
Checking quantitative claims, sample details, terminology, and repeated references in a LaTeX paper's main.tex file.
Why use it?
Repeated facts can drift during editing, making a paper confusing or internally contradictory. The scan checks them against a project reference file when available.

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/check-consistency/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 check-consistency

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/check-consistency"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/check-consistency.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 801 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 $0.00016 $0.00801
Opus 5.5 $0.00006 $0.00320
Sonnet 5.5 $0.00003 $0.00160
Haiku 4.5 $0.00002 $0.00080

Measured 2mo ago against content hash e8b8aada7d75, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

check-consistency 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/check-consistency/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Check Consistency Skill

Fast, focused scan for cross-section inconsistencies in main.tex. Lighter than /full-paper-audit -- designed for iterative use during editing.

Examples

  • /check-consistency -- full scan of main.tex
  • /check-consistency numbers -- only check quantitative claims
  • /check-consistency terminology -- only check terminology consistency

Workflow

Step 1: Load Reference Values

Read guidance/paper-context.md to get canonical values (if it exists):

  • Key quantitative results and their canonical magnitudes
  • Sample description (date range, number of observations, variable counts)
  • Any other numbers that appear in multiple sections

If no paper-context file exists, the skill still works by cross-referencing sections against each other (without a canonical reference).

Step 2: Quantitative Consistency

Grep main.tex for all quantitative claims and cross-reference:

  • Percentages and basis points mentioning specific variables or factors
  • Sample period mentions (start date, end date, number of periods)
  • Counts (variables, observations, subsamples, etc.)
  • Any number that appears in more than one section

Flag: mismatches between text claims and canonical values (if available), or between sections.

Step 3: Terminology Consistency

If guidance/paper-context.md defines a terminology table, grep across all sections for violations.

Also check for within-paper drift regardless of paper-context:

  • Same concept called different names in different sections
  • Inconsistent abbreviation introduction (defined in one section, used without definition in another)
  • Check against .claude/rules/banned-words.md for hard-banned terms

Step 4: Cross-Reference Integrity

  1. Extract all \ref{...} and \eqref{...} targets
  2. Extract all \label{...} definitions
  3. Flag any \ref or \eqref that points to a non-existent label
  4. Flag any \ref used where \eqref should be (equation references)
  5. Check that all tables and figures are cited at least once in the text

Read the full file on GitHub · 86 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 · 86 lines · 16 tokens per session scan A e8b8aada7d75

Subscribe to this mod's changes

check-consistency is a skill published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 6mo ago), licensed MIT. It adds 16 tokens to every session and 801 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

check-consistency compared with skills from other repositories

check-consistency next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
check-consistencyAlexander-M-Dickerson/ai-asset-pricingSkill596mo agoMITA16Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code