Agent skill

Docs Reviewer

by strands-agents in strands-agents/harness-sdk

Review documentation drafts for voice consistency, structure, and terminology before PR submission.

Apache-2.0Auto-check passedDevelopment

Install Docs Reviewer

skills CLI
$ npx skills add strands-agents/harness-sdk --skill docs-reviewer -a claude-code

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

GitHub CLI
$ gh skill install strands-agents/harness-sdk docs-reviewer --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/strands-agents/harness-sdk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/docs-reviewer .claude/skills/docs-reviewer && 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
docs-reviewer
GitHub stars
8.7k
Token cost
~1.8k tokens
SKILL.md length
845 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
Apache-2.0

At a glance

Review documentation drafts for voice consistency, structure, and terminology before PR submission.

  • Works in 6 steps: Voice Stack Compliance → Multi-Language Correctness → Terminology Consistency → …
  • Review this draft
  • SKILL.md covers Procedure, Five Review Dimensions, Verdict System and Output Format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Docs Reviewer is an agent skill from strands-agents/harness-sdk. Review documentation drafts for voice consistency, structure, and terminology before PR submission. Use after completing a draft, when checking if docs are ready to ship, or automatically after docs-writer produces output. Also triggers on "review this draft", "check my docs", "is this ready to ship", "review before merging".

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. It works with Python and TypeScript. The repository describes itself as: Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud. The licence is Apache-2.0.

When your agent uses it

  • Review this draft
  • Is this ready to ship
  • Review before merging

Example prompts

  • “review this draft”
  • “check my docs”
  • “is this ready to ship”
  • “/docs-reviewer”

Requirements

  • Python 3

Workflow steps

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

  1. Voice Stack Compliance
  2. Multi-Language Correctness
  3. Terminology Consistency
  4. Code Example Quality
  5. Human+AI Readability
  6. Content Type Alignment

What it can do on your machine

Read from SKILL.md and the folder at commit b340edb. 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

    No URLs in SKILL.md.

    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

Docs Reviewer loads about 1.8k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 845 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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 strands-agents/harness-sdk at commit b340edb, republished under its Apache-2.0 licence (© strands-agents). 845 words, ~1,795 tokens.

Download SKILL.mdSave it as .claude/skills/docs-reviewer/SKILL.md (or your agent's skills folder).
name
docs-reviewer
description
Review documentation drafts for voice consistency, structure, and terminology before PR submission. Use after completing a draft, when checking if docs are ready to ship, or automatically after docs-writer produces output. Also triggers on "review this draft", "check my docs", "is this ready to ship", "review before merging".

Documentation Reviewer

Scope: Voice, style, structure, and terminology of drafts in progress. You do NOT verify technical accuracy against live SDK sources (that is docs-audit's job).

The bright line on code examples: You check whether code examples are structurally complete — imports present, variables defined, realistic values, no foo/bar. This is the Stripe completeness principle, a voice/style check. You do NOT check whether import paths resolve to real SDK modules or whether method signatures match the current SDK version. That verification is docs-audit's scope.

Procedure

  1. Read the draft provided by the user.
  2. Classify the content type (tutorial, how-to, explanation, reference) from frontmatter or structure.
  3. Score each of the five dimensions below.
  4. Assign a verdict.
  5. Output the structured review.

Five Review Dimensions

1. Voice Stack Compliance

Reference ../../references/voice-guide.md for the full layer definitions. Check:

  • Structure: Does each section answer exactly one question? Flag mixed-purpose sections.
  • Narrative flow: Start with why the topic matters and what use-case problems it solves. Throughout, show how to implement using Strands SDK in a self-contained, concise way.
  • Framing: Does the first sentence of every section describe the developer's goal? Flag sections leading with API descriptions.
  • Register: Is the tone appropriate for the content type?
  • Constraints: Scan for banned phrases, em-dashes, passive voice, hedging. Apply type-aware overrides (passive in reference is fine; longer sentences in explanation are fine).
  • Authenticity: Structural variety, visible editorial choices, concision.
2. Multi-Language Correctness

For pages with <Tabs> for Python and TypeScript:

  • Prose between tabs is language-neutral. Flag prose inside a <Tab> that names the language of that tab (e.g., "Python requires..." inside the Python tab). The reader chose the tab; they know.
  • Flag language-specific identifiers spelled out manually in shared prose — these should use the <Syntax> component to adapt to the reader's language selection.
  • Headings describe the concept, not the API. Flag headings containing language-specific parameter names or syntax (e.g. preserve_context=False, preserveContext: false). The table of contents should read the same regardless of language.
  • Callout boxes (:::note, :::caution, etc.) meet the bar defined in mdx-authoring.md. Most facts belong as inline prose.
3. Terminology Consistency

Reference ../../references/terminology.md. Check every technical term against the lock file. Flag any non-canonical synonym.

4. Code Example Quality

For each code block:

  • Structurally complete (Stripe principle): imports present, variables defined, copy-paste-ready without hunting for context.
  • Self-explanatory (Deno principle): makes sense without surrounding prose; comments explain intent, not mechanics.
  • Self-documenting, concise variable names (no foo, bar, my_var).
  • Focused on one concept.
  • Non-deterministic output labeled "Typical output" per voice guide patterns.
  • Claim parity: every claim made by surrounding prose or in-snippet comments is demonstrated by the code. If the prose says "this retries an additional error type," the code must show the override. Type-correct snippets that don't back their claims slip past typecheck and erode trust faster than missing examples.

Site build conventions (reference ../../references/mdx-authoring.md):

  • TypeScript code uses --8<-- snippet includes from sibling .ts files, never inlined in MDX. Flag raw TypeScript inside a code fence.
  • Each TypeScript fence includes both an imports snippet and a body snippet. A body-only include missing its imports is incomplete.
  • Python may be inlined.
  • Diagrams use ```mermaid fences, not ASCII art or box-drawing characters.
Show full SKILL.md (321 more words)Show less
5. Human+AI Readability
  • Context at top (first paragraph states what the page covers).
  • Prerequisites explicit (not assumed from prior pages).
  • No load-bearing forward/backward references.
  • Key terms defined or linked on first use.
  • Code examples self-contained (imports, setup included).
  • Inline code backtick-formatted.
  • Page works standalone for both a human from search and an AI assistant.
6. Content Type Alignment
  • Does structure match what the voice guide prescribes for this type?
  • Is information in the right place? (No conceptual background in how-to guides.)
  • Cross-references point to the correct type (how-to links to reference for details, not duplicating).

Verdict System

After scoring all dimensions, assign exactly one verdict:

Ship it — All dimensions score well. At most one warning with minor phrasing suggestions. Zero failing scores. Zero terminology violations. Code examples are structurally complete. Ready for human review.

Tighten — Two or more warnings, or one failing score fixable without restructuring. Typical triggers: voice register bleed, 3+ terminology slips, >40% verbosity, missing "typical output" labels, structural sameness (no editorial judgment visible). Provide specific line-level fixes. Writer addresses and re-submits.

Rethink — Two or more failing scores, or any structural failure: wrong content type, mixed-purpose sections requiring re-outline, fundamental framing inversion (API-first throughout), missing prerequisites leaving readers unable to follow. Provide diagnosis and suggest the right approach. Writer re-outlines before redrafting.

Escalation rule

If unsure between Tighten and Rethink: "Can the writer fix this by editing in place, or do they need to re-outline?" Edit in place = Tighten. Re-outline = Rethink.

Output Format

## Review: [Draft Title]

**Content type:** [classified type]
**Verdict:** Ship it / Tighten / Rethink

### Dimension Scores
| Dimension | Score | Key Finding |
|-----------|-------|-------------|
| Voice stack | ... | ... |
| Multi-language | ... | ... |
| Terminology | ... | ... |
| Code examples | ... | ... |
| AI-readability | ... | ... |
| Type alignment | ... | ... |

### Specific Findings
[numbered list with line references and suggested fixes]

### What Works Well
[2-3 things the draft does right]

What You Do NOT Do

  • Do not edit files. You review only.
  • Do not commit, push, or create PRs.
  • Do not approve or merge. Your verdict is advisory.
  • Do not rewrite sections. Provide the diagnosis; the writer fixes.
  • Do not verify SDK accuracy (import paths, method signatures, API correctness). That is docs-audit.

Review Log (optional)

Track patterns across reviews by appending to .agents/review-log.md. Include: date, draft title, content type, verdict, dimension scores, recurring patterns, terminology decisions.

© strands-agents, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/docs-reviewer of strands-agents/harness-sdk.

Open the folder on GitHubat commit b340edb

Compare with similar skills

Docs Reviewer 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.

Docs Reviewer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Docs Reviewer this skillstrands-agents/harness-sdk8.7k—~1.8kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Skyvern Version BumpSkyvern-AI/skyvern23k—~1kAutomated safety check: NotesAGPL-3.0
Mirage VFS Adapter Authoringstrukto-ai/mirage3.7k—~2.5kAutomated safety check: PassApache-2.0
jscpd Code Migration Trackerkucherenko/jscpd6.4k—~5kAutomated safety check: PassMIT
Code Reviewerjewbetcha/opentrace1162 repos~1.1kAutomated safety check: NotesMIT

Similar skills

  • Code Review Checklist

    shareAI-lab/learn-claude-code

    Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

    78k GitHub starsUsed in 5 repos~1.1k tokens
    DevelopmentAuto-check passed
  • Skyvern Version Bump

    Skyvern-AI/skyvern

    Walks through a Skyvern open-source release bump: update the version, rebuild the Python and TypeScript SDKs with Fern, commit, and open a pull request.

    23k GitHub stars~1k tokensUpdated today
    DevelopmentAuto-check: notes
  • Builds or extends a custom Mirage virtual filesystem adapter for an API, database, object store or app data, with a working mount configuration and filesystem tests.

    3.7k GitHub stars~2.5k tokensUpdated today
    DevelopmentAuto-check passed
  • Measures a code port between languages or frameworks with jscpd's function-level comparison, porting tests before code and tracking what is left unmatched.

    6.4k GitHub stars~5k tokensUpdated today
    DevelopmentAuto-check passed
  • Code Reviewer

    jewbetcha/opentrace

    Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go.

    116 GitHub starsUsed in 2 repos~1.1k tokens
    DevelopmentAuto-check: notes
  • Shared reference for naming, function size, complexity and error handling rules that reviewer agents apply across TypeScript, Python, Go, Rust, Java, C# and Swift.

    2k GitHub starsUsed in 1 repo~1.4k tokens
    DevelopmentAuto-check passed

More from strands-agents/harness-sdk

All 14 skills in this repo
  • Docs Audit

    strands-agents/harness-sdk

    Assess a published or in-progress documentation page for quality, accuracy, and voice compliance.

    8.7k GitHub stars~1.5k tokensUpdated yesterday
    Auto-check passed
  • Docs Planner

    strands-agents/harness-sdk

    Identify documentation gaps and prioritize the docs backlog.

    8.7k GitHub stars~821 tokensUpdated yesterday
    Auto-check passed
  • Docs Writer

    strands-agents/harness-sdk

    Draft or rewrite Strands Agents documentation pages. An agent skill from strands-agents/harness-sdk.

    8.7k GitHub stars~2k tokensUpdated yesterday
    Auto-check passed
  • PR Create

    strands-agents/harness-sdk

    Creates a GitHub pull request using the gh CLI. An agent skill from strands-agents/harness-sdk.

    8.7k GitHub stars~593 tokensUpdated yesterday
    Auto-check passed
  • PR Feedback

    strands-agents/harness-sdk

    Fetches PR review feedback and inline comments, categorizes them, and presents options to the user.

    8.7k GitHub stars~675 tokensUpdated yesterday
    Auto-check passed
  • PR Writer

    strands-agents/harness-sdk

    Generates pull request titles and descriptions. An agent skill from strands-agents/harness-sdk.

    8.7k GitHub stars~2.1k tokensUpdated yesterday
    Auto-check passed

Categories

Questions about Docs Reviewer

What does Docs Reviewer do?

Review documentation drafts for voice consistency, structure, and terminology before PR submission. Docs Reviewer is an agent skill from strands-agents/harness-sdk. Review documentation drafts for voice consistency, structure, and terminology before PR submission.

When should I use Docs Reviewer?

Docs Reviewer fits situations like: review this draft; is this ready to ship; review before merging.

How do I install Docs Reviewer in Claude Code?

Run `npx skills add strands-agents/harness-sdk --skill docs-reviewer -a claude-code`. Or copy the skill folder (.agents/skills/docs-reviewer in strands-agents/harness-sdk) into .claude/skills/docs-reviewer in your project. Claude Code loads it when a task matches its description.

How do I install Docs Reviewer in Codex?

Run `npx skills add strands-agents/harness-sdk --skill docs-reviewer -a codex`. Or copy the skill folder (.agents/skills/docs-reviewer in strands-agents/harness-sdk) into .agents/skills/docs-reviewer in your project. Codex loads it when a task matches its description.

Can I use Docs Reviewer 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 strands-agents/harness-sdk --skill docs-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/docs-reviewer, .gemini/skills/docs-reviewer, .github/skills/docs-reviewer and .opencode/skills/docs-reviewer in your project.

What does Docs Reviewer need to run?

SKILL.md names no scripts, command-line tools or credentials: Docs Reviewer is instructions for the agent only. Our summary lists: Python 3.

Does Docs Reviewer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Docs Reviewer 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 Docs Reviewer use?

Docs Reviewer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Docs Reviewer use?

About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Docs Reviewer?

Skills that share tags, products or a category with Docs Reviewer: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Skyvern Version Bump (Skyvern-AI/skyvern, 23k stars), Mirage VFS Adapter Authoring (strukto-ai/mirage, 3.7k stars) and jscpd Code Migration Tracker (kucherenko/jscpd, 6.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Docs Reviewer?

strands-agents (a GitHub organization) maintains it in strands-agents/harness-sdk, which has 8,747 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 8, 2026.

Source: strands-agents/harness-sdk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.