Agent skill

Documentation Quality Metrics

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Audit and measure developer documentation quality using functional quality, structural quality, accessibility, purpose, findability, accuracy, completeness, clarity, concision, consistency…

MITAuto-check passedFrontend & Design

Install Documentation Quality Metrics

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill documentation-quality-metrics -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins documentation-quality-metrics --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/documentation-quality-metrics .claude/skills/documentation-quality-metrics && 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
documentation-quality-metrics
GitHub stars
1.3k
Token cost
~766 tokens
SKILL.md length
294 words
Files
4 (incl. references)
Skills in repo
714
Repo updated
First seen
Licence
MIT

At a glance

Audit and measure developer documentation quality using functional quality, structural quality, accessibility, purpose, findability, accuracy, completeness, clarity, concision, consistency…

  • Works in 6 steps: Load guidelines.md to choose the… → Identify the decision the measurement… → Decide how much uncertainty the team… → …
  • Evaluating docs
  • SKILL.md covers Quick Start, Default Output, Contents and Core Posture
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Documentation Quality Metrics is an agent skill from hashgraph-online/awesome-codex-plugins. Audit and measure developer documentation quality using functional quality, structural quality, accessibility, purpose, findability, accuracy, completeness, clarity, concision, consistency, analytics, user goals, doc goals, and metric plans. Use when evaluating docs, designing documentation metrics, selecting dashboards, or linking docs work to user and business outcomes.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `guidelines.md`, `references/core/knowledge.md` and `workflows/audit-doc-quality.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Frontend & Design, covering Accessibility. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Evaluating docs
  • Designing documentation metrics
  • Selecting dashboards
  • Linking docs work to user and business outcomes

Example prompts

  • “/documentation-quality-metrics”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Load guidelines.md to choose the smallest useful reference set.
  2. Identify the decision the measurement should support.
  3. Decide how much uncertainty the team needs to reduce before acting.
  4. Audit functional quality before structural polish.
  5. Use workflows/audit-doc-quality.md for a full quality or metric plan.
  6. Prefer metric clusters with baseline and context over isolated numbers.

What it can do on your machine

Read from SKILL.md and the folder at commit 9e7b281. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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):

    • link.springer.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.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Documentation Quality Metrics loads about 766 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 294 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~766
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its MIT licence (© hashgraph-online). 294 words, ~766 tokens.

Download SKILL.mdSave it as .claude/skills/documentation-quality-metrics/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
documentation-quality-metrics
description
Audit and measure developer documentation quality using functional quality, structural quality, accessibility, purpose, findability, accuracy, completeness, clarity, concision, consistency, analytics, user goals, doc goals, and metric plans. Use when evaluating docs, designing documentation metrics, selecting dashboards, or linking docs work to user and business outcomes.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Documentation Quality Metrics
metadata.category
Writing
metadata.tags
developer-docs,technical-writing,documentation,metrics,quality

Documentation Quality Metrics

Use this skill to evaluate developer documentation quality and choose metrics that answer real questions. It combines editorial quality with analytics and user outcomes.

This skill is derived from Docs for Developers: An Engineer's Field Guide to Technical Writing, especially Chapter 9, "Measuring documentation quality." It is expanded with paraphrased guidance from Christopher Gales and the Splunk Documentation Team's The Product Is Docs: Writing Technical Documentation in a Product Development Group, especially Chapter 11, "Measuring Success." Do not copy book prose into user outputs. Source: https://link.springer.com/book/10.1007/978-1-4842-7217-6

Quick Start

  1. Load guidelines.md to choose the smallest useful reference set.
  2. Identify the decision the measurement should support.
  3. Decide how much uncertainty the team needs to reduce before acting.
  4. Audit functional quality before structural polish.
  5. Use workflows/audit-doc-quality.md for a full quality or metric plan.
  6. Prefer metric clusters with baseline and context over isolated numbers.

Default Output

When auditing quality or designing metrics, return:

  1. Measurement question - what decision the metric or audit supports.
  2. Uncertainty to reduce - what the team does not know yet and how precise the answer needs to be.
  3. Functional quality findings - accessibility, purpose, findability, accuracy, completeness.
  4. Structural quality findings - clarity, concision, consistency.
  5. Metric plan - qualitative and quantitative signals, baselines, owners, and limits.
  6. Recommended actions - fixes, experiments, or data collection.
  7. Caveats - what the available metrics cannot prove.

Contents

NeedStart Here
Understand quality dimensionsreferences/core/knowledge.md
Apply audit and metric rulesreferences/core/knowledge.md
See metric examplesreferences/core/knowledge.md
Run quality auditworkflows/audit-doc-quality.md
Route by taskguidelines.md

Core Posture

  • Good docs fulfill their purpose for users.
  • Functional quality matters before stylistic polish.
  • Metrics reduce uncertainty for a decision; counting is not measurement by itself.
  • Combine analytics with qualitative evidence; neither tells the full story alone.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in plugins/LVTD-LLC/skills/skills/documentation-quality-metrics of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • guidelines.md
  • references/core/knowledge.md
  • workflows/audit-doc-quality.md

Open the folder on GitHubat commit 9e7b281

Compare with similar skills

Documentation Quality Metrics 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.

Documentation Quality Metrics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Documentation Quality Metrics this skillhashgraph-online/awesome-codex-plugins1.3k—~766Automated safety check: PassMIT
Web Interface Guidelines Reviewervercel-labs/openreview1.7k97 repos~308Automated safety check: PassNone
Accessibility Reviewmarkmead/hyperui12k1 repos~1.1kAutomated safety check: PassMIT
Web Animation DesignbaptisteArno/typebot.io11k2 repos~2.7kAutomated safety check: PassCustom licence
Accessibility Fixeribelick/ui-skills9.5k4 repos~1.2kAutomated safety check: PassMIT
Wcag Audit PatternsvmDeshpande/ai-agent-automation17811 repos~610Automated safety check: PassApache-2.0

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Questions about Documentation Quality Metrics

What does Documentation Quality Metrics do?

Audit and measure developer documentation quality using functional quality, structural quality, accessibility, purpose, findability, accuracy, completeness, clarity, concision, consistency…. Documentation Quality Metrics is an agent skill from hashgraph-online/awesome-codex-plugins. Audit and measure developer documentation quality using functional quality, structural quality, accessibility, purpose, findability, accuracy, completeness, clarity, concision, consistency, analytics, user goals, doc goals, and metric plans.

When should I use Documentation Quality Metrics?

Documentation Quality Metrics fits situations like: evaluating docs; designing documentation metrics; selecting dashboards; linking docs work to user and business outcomes.

How do I install Documentation Quality Metrics in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill documentation-quality-metrics -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/documentation-quality-metrics in hashgraph-online/awesome-codex-plugins) into .claude/skills/documentation-quality-metrics in your project. Claude Code loads it when a task matches its description.

How do I install Documentation Quality Metrics in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill documentation-quality-metrics -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/documentation-quality-metrics in hashgraph-online/awesome-codex-plugins) into .agents/skills/documentation-quality-metrics in your project. Codex loads it when a task matches its description.

Can I use Documentation Quality Metrics 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 hashgraph-online/awesome-codex-plugins --skill documentation-quality-metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/documentation-quality-metrics, .gemini/skills/documentation-quality-metrics, .github/skills/documentation-quality-metrics and .opencode/skills/documentation-quality-metrics in your project.

What does Documentation Quality Metrics need to run?

SKILL.md names no scripts, command-line tools or credentials: Documentation Quality Metrics is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Documentation Quality Metrics access the network?

SKILL.md names 1 domain. As links in the text: link.springer.com. This is read from the text; nothing was executed.

Is Documentation Quality Metrics 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. Review the folder before installing.

What licence does Documentation Quality Metrics use?

Documentation Quality Metrics is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Documentation Quality Metrics use?

About 766 tokens (SKILL.md is roughly 3.1k 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 2k tokens, read only when the agent opens those files.

What are the alternatives to Documentation Quality Metrics?

Skills that share tags, products or a category with Documentation Quality Metrics: Web Interface Guidelines Reviewer (vercel-labs/openreview, 1.7k stars), Accessibility Review (markmead/hyperui, 12k stars), Web Animation Design (baptisteArno/typebot.io, 11k stars) and Accessibility Fixer (ibelick/ui-skills, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Documentation Quality Metrics?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.