Agent skill

Review AI Slop

by archibate in archibate/dotfiles-opencode

Review code for AI slop patterns. An agent skill from archibate/dotfiles-opencode.

No licenceAuto-check passedDevelopment

Install Review AI Slop

skills CLI
$ npx skills add archibate/dotfiles-opencode --skill review-ai-slop -a claude-code

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

GitHub CLI
$ gh skill install archibate/dotfiles-opencode review-ai-slop --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/archibate/dotfiles-opencode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review-ai-slop .claude/skills/review-ai-slop && 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
review-ai-slop
GitHub stars
108
Token cost
~971 tokens
SKILL.md length
444 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
None found

At a glance

Review code for AI slop patterns. An agent skill from archibate/dotfiles-opencode.

  • Works in 10 steps: Swallowing exceptions → Dictionary defaults on required fields → Null coalescing to fabricate data → …
  • User says review for AI slop
  • SKILL.md covers A. Defensive Programming, B. Over-Engineering, C. Unnecessary Infrastructure and D. Code Bloat, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review AI Slop is an agent skill from archibate/dotfiles-opencode. Review code for AI slop patterns. TRIGGER when user says "review for AI slop", "check for AI patterns", "clean up AI code", "audit AI-generated code", or "review AI slop".

Its SKILL.md is about 970 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, covering Code review. The repository describes itself as: Archibate's personal configuration for OpenCode.

When your agent uses it

  • User says review for AI slop
  • Check for AI patterns
  • Clean up AI code
  • Audit AI-generated code

Example prompts

  • “review for AI slop”
  • “check for AI patterns”
  • “clean up AI code”
  • “/review-ai-slop”

Workflow steps

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

  1. Swallowing exceptions
  2. Dictionary defaults on required fields
  3. Null coalescing to fabricate data
  4. Type coercion instead of validation
  5. Compatibility shims
  6. Unnecessary null checks
  7. Catch-all exception handlers
  8. Over-validation at internal boundaries
  9. Fabricated default values
  10. Logging warnings instead of raising

What it can do on your machine

Read from SKILL.md and the folder at commit 46b6b23. 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

Review AI Slop loads about 971 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 444 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~971

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 444 words (~971 tokens).

“Review the specified code for AI-generated slop patterns.”

— opening of SKILL.md by archibate
name
review-ai-slop
disable-model-invocation
true
user-invocable
true

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/review-ai-slop of archibate/dotfiles-opencode.

Open the folder on GitHubat commit 46b6b23

Compare with similar skills

Review AI Slop 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.

Review AI Slop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review AI Slop this skillarchibate/dotfiles-opencode108—~971Automated safety check: PassNone
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow155k—~3.5kAutomated safety check: NotesMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0
Backend Code Reviewlanggenius/dify158k—~676Automated safety check: PassCustom licence

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Categories

Questions about Review AI Slop

What does Review AI Slop do?

Review code for AI slop patterns. An agent skill from archibate/dotfiles-opencode. Review AI Slop is an agent skill from archibate/dotfiles-opencode. Review code for AI slop patterns.

When should I use Review AI Slop?

Review AI Slop fits situations like: user says review for AI slop; check for AI patterns; clean up AI code; audit AI-generated code.

How do I install Review AI Slop in Claude Code?

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

How do I install Review AI Slop in Codex?

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

Can I use Review AI Slop 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 archibate/dotfiles-opencode --skill review-ai-slop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-ai-slop, .gemini/skills/review-ai-slop, .github/skills/review-ai-slop and .opencode/skills/review-ai-slop in your project.

What does Review AI Slop need to run?

SKILL.md names no scripts, command-line tools or credentials: Review AI Slop is instructions for the agent only.

Does Review AI Slop 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 Review AI Slop 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 Review AI Slop use?

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

How many tokens does Review AI Slop use?

About 971 tokens (SKILL.md is roughly 3.9k 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 Review AI Slop?

Skills that share tags, products or a category with Review AI Slop: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 155k stars) and Mole Bug Patterns (tw93/Mole, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review AI Slop?

archibate (a GitHub user) maintains it in archibate/dotfiles-opencode, which has 108 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on April 29, 2026.

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