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anderskev

Review Ai Writing

by Kevin Anderson · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ Security Clean
146
Downloads
0
Stars
1
Active Installs
3
Versions
Install in OpenClaw
/install review-ai-writing
Description
Detect AI-generated writing patterns in developer text — docs, docstrings, commit messages, PR descriptions, and code comments. Use when reviewing any text a...
Usage Guidance
This skill appears coherent and aligned with its stated purpose. Before installing, confirm the environment has git and (if you want PR scanning) the GitHub CLI (`gh`) available — the SKILL.md uses those but the skill doesn't declare them. Be aware the skill will read repository files, commit history, and optionally PR bodies, and will write a JSON report under .beagle/ai-writing-review.json (and will read .beagle/llm-artifacts-review.json if present). Also review/trust any referenced companion skills (beagle-core:review-verification-protocol and beagle-docs:review-ai-writing) if they exist in your environment. If you want to limit scope, run with the --category flag or avoid --all; because disable-model-invocation is true, the skill must be invoked explicitly by a user action.
Capability Tags
requires-oauth-tokenrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The name/description claim (detect AI-generated patterns in docs, comments, commits, PRs) matches the SKILL.md and the reference documents. The runtime steps (find relevant files, extract comments/docstrings, read commits and PR bodies, scan categories, and write a JSON report) are appropriate for this purpose. One minor mismatch: the instructions call `gh pr view --json body` and run git commands even though the skill declares no required binaries; the skill does not declare `gh` or `git` as dependencies.
Instruction Scope
Instructions explicitly read repository files, commit logs, and (optionally) PR bodies, then write results to a local .beagle/ai-writing-review.json. Reading/writing local repo files and running git/gh is consistent with the purpose. The skill also looks for an existing .beagle/llm-artifacts-review.json to avoid duplicate flags — this is sensible but means the skill will read that local file. No instructions attempt to read unrelated system files or environment variables, nor to exfiltrate data to external endpoints beyond calling `gh` (GitHub CLI) which is expected for PR body access.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to install — lowest-risk install mechanism. There is no download or archive extraction. No concerns here.
Credentials
The skill requests no environment variables, credentials, or config paths. It only uses local repo state and (optionally) the GitHub CLI to read PR metadata. The lack of required credentials matches the intended scanning functionality.
Persistence & Privilege
Skill metadata sets disable-model-invocation: true (model cannot autonomously invoke it) and always: false. The skill writes a report to a repository-local directory (.beagle/) which is expected for a scanning/reporting tool. It does not request permanent platform-wide privileges or modify other skills' configurations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install review-ai-writing
  3. After installation, invoke the skill by name or use /review-ai-writing
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
- Documentation expanded for step 10 (Verification): final instruction now begins with "Before completing, all of the…" (was previously incomplete). - No functional or behavioral changes; only documentation in SKILL.md file was updated. - All other instructions and format remain unchanged.
v1.0.1
- Updated an autoContext keyword: replaced "humanize-ai-writing" with "humanize-beagle" for better alignment with related skill naming. - Updated documentation in SKILL.md to reference the new `/beagle-docs:humanize-beagle` command and instructions. - No changes to core functionality or command usage; only wording updates in the documentation.
v1.0.0
- Initial release of the AI Writing Review skill. - Scans developer text—docs, code comments, docstrings, commit messages, and PR descriptions—for common AI-generated writing patterns. - Detects issues across six categories: content, vocabulary, formatting, communication, filler, and code documentation. - Automatically splits review into parallel agents to check prose, code comments/docstrings, and Git artifacts. - Avoids duplicate findings by consolidating with existing llm-artifacts reviews. - Generates a structured JSON report and a clear, actionable summary, including rewrite suggestions and fix safety guidance.
Metadata
Slug review-ai-writing
Version 1.0.2
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 3
Frequently Asked Questions

What is Review Ai Writing?

Detect AI-generated writing patterns in developer text — docs, docstrings, commit messages, PR descriptions, and code comments. Use when reviewing any text a... It is an AI Agent Skill for Claude Code / OpenClaw, with 146 downloads so far.

How do I install Review Ai Writing?

Run "/install review-ai-writing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Review Ai Writing free?

Yes, Review Ai Writing is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Review Ai Writing support?

Review Ai Writing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Review Ai Writing?

It is built and maintained by Kevin Anderson (@anderskev); the current version is v1.0.2.

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