Agent Native

score-length

This skill measures the length of a theory's main body content and calculates a normalized score using a formula that compares word count against a standard…

by ImbueOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (imbue-ai)

Agents
Claude Code
License
AGPL-3.0 (copyleft)
Pin
a2ee48cpinned Oct 9, 2026
Context cost
about 370 tokenswhen the skill loads
GitHub stars
36on imbue-ai/catalyst
Scripts
None found

What it does

“Score the length of a given theory.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill measures the length of a theory's main body content and calculates a normalized score using a formula that compares word count against a standard length baseline. It parses markdown structure to exclude introductions, conclusions, and appendices, then applies a mathematical scoring function that yields values between 0 and 1.

When to use it

  • Evaluating whether theory content meets expected length requirements
  • Comparing theory sizes across a standardized metric
  • Assessing theory comprehensiveness relative to a word count baseline

When not to

  • Measuring content quality or validity of theories
  • Determining actual information density or argument strength
  • Scoring non-markdown theory formats

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add imbue-ai/catalyst --skill score-length

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install imbue-ai/catalyst score-length@a2ee48c34741df5d4549d97b22aa44589d9eaa6a

Installs the commit we checked (a2ee48c).

Copy by hand

Download the folder at a2ee48c and put it in .claude/skills/score-length for Claude Code and in .agents/skills/score-length for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at a2ee48c

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "score-length" by Imbue.

Source, pinned to commit a2ee48c34741df5d4549d97b22aa44589d9eaa6a:
https://github.com/imbue-ai/catalyst/tree/a2ee48c34741df5d4549d97b22aa44589d9eaa6a/src/claude_skills/skills/score-length

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/score-length/ for Claude Code and .agents/skills/score-length/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/imbue/score-length

SKILL.md at the pin

---
name: score-length
description: "Score the length of a given theory."
argument-hint: "the theory ID to score (e.g. T_20260414_143100_d4e5f6). Optionally, a STANDARD_LENGTH value."
user-invocable: false
---

This skill explains how to assess and score the length of a given theory based on its content.

Besides the theory to score, you may optionally be given a STANDARD_LENGTH value. The default STANDARD_LENGTH, if not specified, is 7000 words.

## Length Score Execution Steps
1. **Determine theory lengths**: Determine the length of the `theory.md` in number of words, excluding any conclusion sections and appendices, as well as any introductory sections (such as phenomenon descriptions, overviews and summary sections, statement/content tables, prior art comparisons, etc):
  - Extract the line numbers of all headings in the `theory.md` file (e.g. `grep -n '^#' <CONTEXT_DIR>/theory/theory.md`).
  - Determine the line range corresponding to the (typically contiguous) main body of the theory by scanning its markdown headings, ignoring any preceding introduction, summaries and overview sections, and any succeeding conclusions, appendices and/or supplementary sections.
  - Count the number of words in the main body line range using standard Unix tools (e.g. `head -n 500 <CONTEXT_DIR>/theory/theory.md | tail -n +50 | wc -w`).
2. **Score Length**: Calculate a length score for the theory using the formula `Length Score = 1 / (1 + (words_in_main_body / STANDARD_LENGTH)**3)`, where `words_in_main_body` is the number of words in the main body of the theory. Round to two decimal places. Use ad-hoc Python code to perform this calculation, as described above.

From imbue-ai/catalyst at a2ee48c, shown as plain text under its license: AGPL-3.0 (copyleft). The license text is in LICENSE.

View SKILL.md on GitHub at a2ee48c

Files

1 file, 1.7 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at a2ee48c
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The skills listed here are third-party software, collected from public GitHub repositories as a catalog of recent skills and provided as is. Agent Native does not write or control them and is not responsible for any harm, loss or damage caused by installing or using them. Labels and checks describe what we saw at one commit and are not a guarantee. Read a skill's files before you run it. Terms of use