Agent skill

AI Index

by mizchi in mizchi/skills

Method and tooling for measuring how AI-generated a piece of prose reads, in Japanese or English.

No licenceAuto-check passedBusiness, Finance & HR

Install AI Index

skills CLI
$ npx skills add mizchi/skills --skill ai-index -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mizchi/skills ai-index --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mizchi/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-index .claude/skills/ai-index && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ai-index
GitHub stars
360
Token cost
~3.6k tokens
SKILL.md length
1,934 words
Files
35 (incl. scripts, references)
Skills in repo
69
Repo updated
First seen
Licence
None found

At a glance

Method and tooling for measuring how AI-generated a piece of prose reads, in Japanese or English.

  • Works in 6 steps: The two layers → Layer A — run the lint → Why Layer A cannot be the score → …
  • Calibrating an AI-likeness score
  • SKILL.md covers When to use, 1. The two layers, 2. Layer A — run the lint and 3. Why Layer A cannot be the…, plus 6 more sections
  • Runs Python scripts from its folder; calls python3

What it does

AI Index is an agent skill from mizchi/skills. Method and tooling for measuring how AI-generated a piece of prose reads, in Japanese or English. Two layers — a deterministic lint for removable surface tells (scripts/slopscore.py, no API) and a judgment layer of typed probabilistic questions (Jev noul/score) for the tells that survive editing. Includes measured human/AI baselines, a gap-first calibration procedure, and labeled fixtures. Use when building or calibrating an AI-likeness score, or when a draft needs a defensible number rather than a vibe. For…

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 40 other files, including scripts and reference files (for example `README.md`, `examples/README.md` and `examples/judgment-layer/aggregate.py`).

It sits in Business, Finance & HR, covering Humanizing AI text, Performance reviews and Linting and formatting. The repository describes itself as: Agent skills by mizchi, distributed via APM.

When your agent uses it

  • Calibrating an AI-likeness score
  • A draft needs a defensible number rather than a vibe

Example prompts

  • “/ai-index”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. The two layers
  2. Layer A — run the lint
  3. Why Layer A cannot be the score
  4. Gap-first calibration (do this before tuning any threshold)
  5. Layer B — the judgment layer
  6. Reporting

What it can do on your machine

Read from SKILL.md and the folder at commit 62f5808. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • gist.github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AI Index loads about 3.6k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 148 tokens; SKILL.md has 1,934 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~148
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~11k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,934 words (~3,579 tokens).

“A measurement skill: given a text, produce a defensible number for "how AI does this read", and know what that number is worth.”

— opening of SKILL.md by mizchi
name
ai-index

Read the full SKILL.md on GitHub

Files

SKILL.md and 34 other files (scripts, references) in ai-index of mizchi/skills.

  • SKILL.md
  • README.md
  • examples/README.md
  • examples/judgment-layer/aggregate.py
  • examples/judgment-layer/compare-axes.py
  • examples/judgment-layer/judge-key.json
  • examples/judgment-layer/judge-scores-jevslop.json
  • examples/judgment-layer/judge-scores.json
  • examples/reader-runs/run-01/keen/log.jsonl
  • examples/reader-runs/run-01/keen/state.json
  • examples/reader-runs/run-01/report.md
  • examples/reader-runs/run-01/room-annotations.json
  • examples/reader-runs/run-01/skeptic/log.jsonl
  • examples/reader-runs/run-01/skeptic/state.json
  • examples/reader-runs/run-01/skim.txt
  • … and 20 more

Open the folder on GitHubat commit 62f5808

Compare with similar skills

AI Index next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

AI Index compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI Index this skillmizchi/skills360—~3.6kAutomated safety check: PassNone
Prism Maintainirfndi/prism-liquidity-agent124—~1kAutomated safety check: PassMIT
Gatingoaustegard/claude-skills150—~3.1kAutomated safety check: PassMIT
Humanizeaashaexo/soundshuman2981 repos~6.9kAutomated safety check: PassMIT
Authoring Skillsfriday-platform/friday-studio104—~2.4kAutomated safety check: PassCustom licence
Ensure Qualitygambitph/Stackable351—~1.5kAutomated safety check: PassGPL-3.0

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Questions about AI Index

What does AI Index do?

Method and tooling for measuring how AI-generated a piece of prose reads, in Japanese or English. AI Index is an agent skill from mizchi/skills. Method and tooling for measuring how AI-generated a piece of prose reads, in Japanese or English.

When should I use AI Index?

AI Index fits situations like: calibrating an AI-likeness score; A draft needs a defensible number rather than a vibe.

How do I install AI Index in Claude Code?

Run `npx skills add mizchi/skills --skill ai-index -a claude-code`. Or copy the skill folder (ai-index in mizchi/skills) into .claude/skills/ai-index in your project. Claude Code loads it when a task matches its description.

How do I install AI Index in Codex?

Run `npx skills add mizchi/skills --skill ai-index -a codex`. Or copy the skill folder (ai-index in mizchi/skills) into .agents/skills/ai-index in your project. Codex loads it when a task matches its description.

Can I use AI Index in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mizchi/skills --skill ai-index -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-index, .gemini/skills/ai-index, .github/skills/ai-index and .opencode/skills/ai-index in your project.

What does AI Index need to run?

Going by SKILL.md and its folder, AI Index needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does AI Index access the network?

SKILL.md names 2 domains. As links in the text: github.com and gist.github.com. This is read from the text; nothing was executed.

Is AI Index safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does AI Index use?

No licence was found for AI Index or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does AI Index use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.2k tokens, read only when the agent opens those files.

What are the alternatives to AI Index?

Skills that share tags, products or a category with AI Index: Prism Maintain (irfndi/prism-liquidity-agent, 124 stars), Gating (oaustegard/claude-skills, 150 stars), Humanize (aashaexo/soundshuman, 298 stars) and Authoring Skills (friday-platform/friday-studio, 104 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Index?

mizchi (a GitHub user) maintains it in mizchi/skills, which has 360 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 2, 2026.

Source: mizchi/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.