oh-my-opencode-slim: Skill for Claude Code

.agents/skills/cli-review/SKILL.md

cli-review is a skill for Claude Code, Codex from alvinunreal/oh-my-opencode-slim. It costs 61 tokens per session (524 once invoked), scanned C, original, MIT.

A command-line review tool integration for Greptile, a service that analyses code repositories. It checks the current Git repository, verifies the CLI and login, runs a review, and summarises the JSON findings.

In plain words
What is it for?
Use it to review local changes, find issues before a pull request, and turn Greptile's machine-readable results into a readable summary.
Why use it?
It lets you request Greptile feedback from a local branch before opening a pull request. It also explains when the repository, CLI, or authentication is missing instead of silently continuing.

Skill for Claude CodeCodex

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is alvinunreal/oh-my-opencode-slim's own configuration. It tells Claude Code and Codex how to work on oh-my-opencode-slim itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything oh-my-opencode-slim configures →

About the project

oh-my-opencode-slim is a plugin that coordinates multiple specialized AI agents inside OpenCode, assigning codebase exploration, documentation research, architecture review, design, and implementation to different agents. It is for developers who want agent teams to divide and reconcile software-development work while mixing models from different providers. The catalogue entries are the plugin’s bundled agents, skills, and instruction.

alvinunreal/oh-my-opencode-slim · 8,704 stars · on GitHub · ohmyopencodeslim.com

Reuse

Borrowing it

Nothing to install: this file belongs to alvinunreal/oh-my-opencode-slim. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/alvinunreal/oh-my-opencode-slim/master/.agents/skills/cli-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/alvinunreal/oh-my-opencode-slim

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cli-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/alvinunreal/oh-my-opencode-slim/cli-review.svg)](https://agentmods.dev/skills/alvinunreal/oh-my-opencode-slim/cli-review)
Your own site
<a href="https://agentmods.dev/skills/alvinunreal/oh-my-opencode-slim/cli-review"><img src="https://agentmods.dev/badge/skills/alvinunreal/oh-my-opencode-slim/cli-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 524 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Supply Chain · line 47
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Tool Misuse · line 47
    Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.
    Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.00524
Opus 5 $0.00030 $0.00262
Sonnet 5 $0.00012 $0.00105
Haiku 4.5 $0.00006 $0.00052

Measured 8d ago against content hash 56a93ea9d5da, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade C, and why

cli-review scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fsSL "https://greptile.com/cli/install" | sh

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

allowed-tools: Bash(git:*) Bash(greptile:*) Bash(command:*) Bash(curl:*) Bash(npm:*)
Origin

Copies of this mod

6 near-identical copies found in the catalogue:

.agents/skills/cli-review/SKILL.md · 95 lines

What it actually says

CLI Review

Run a Greptile review from the local checkout and summarize the findings.

Instructions

1. Confirm repository context

Start from the current repository root:

git rev-parse --show-toplevel

If the command fails, tell the user that the Greptile CLI review must be run from a git repository.

2. Check for the Greptile CLI

Check whether greptile is installed:

command -v greptile

If it is missing, do not install it automatically. Ask the user for permission, then show the recommended install command:

npm i -g greptile

If npm is unavailable, offer the shell installer fallback:

curl -fsSL "https://greptile.com/cli/install" | sh

After installation, re-run command -v greptile.

3. Ensure authentication

Check the signed-in account:

greptile whoami

If the CLI reports that authentication is missing, run:

greptile login

Wait for the user to complete the login flow before continuing.

4. Run the review

Prefer JSON output:

greptile review --json

If JSON output is unsupported or fails with a usage error, fall back to:

greptile review --agent

Do not hide the raw command failure if both commands fail. Summarize the failing command and the next action the user needs to take.

5. Summarize results

Parse JSON output when available and report:

  • Review status
  • Number of findings
  • Highest severity findings first
  • Files that need edits
  • Suggested next command or fix path

When output is plain text, preserve the same structure as much as possible. Keep the summary concise and focused on actionable findings.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 95 lines · 61 tokens per session scan C 56a93ea9d5da

Subscribe to this mod's changes

cli-review is a skill published in the GitHub repository alvinunreal/oh-my-opencode-slim (8,704 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 524 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.