code-review

code-review is a skill for Claude Code, Codex from jhd3197/CachiBot. It costs 56 tokens per session (1,837 once invoked), scanned A, original, MIT.

A code-review workflow that scans the CachiBot codebase with eight parallel reviewers, each checking a different concern such as security, tests, data, or frontend code. It combines findings with file paths and line numbers into a dated report.

In plain words
What is it for?
Use it for a broad review of CachiBot before a release or major change. It produces a `.reviews/YYYY-MM-DD-review.md` report with findings grouped by severity.
Why use it?
It brings separate quality checks into one review and makes each finding easier to locate. This helps reveal duplicated code, security issues, missing tests, and other problems across the project.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/jhd3197/cachibot/code-review
Any agent
npx skills add jhd3197/CachiBot --skill code-review
Clone the repo
git clone --depth 1 https://github.com/jhd3197/CachiBot

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 code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/jhd3197/cachibot/code-review.svg)](https://agentmods.dev/skills/jhd3197/cachibot/code-review)
Your own site
<a href="https://agentmods.dev/skills/jhd3197/cachibot/code-review"><img src="https://agentmods.dev/badge/skills/jhd3197/cachibot/code-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,837 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00056 $0.01837
Opus 5 $0.00028 $0.00919
Sonnet 5 $0.00011 $0.00367
Haiku 4.5 $0.00006 $0.00184

Measured 4d ago against content hash 884c03311882, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-review scanned grade A with 0 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 4d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/code-review/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review — 8-Agent Sweep

Run a full-codebase audit of CachiBot using 8 parallel review agents. Each agent focuses on a specific quality concern and reports findings with file paths and line numbers. Results are compiled into a single dated report.

Instructions

  1. Note today's date for the report header.
  2. Spawn all 8 review agents in parallel using the Task tool (subagent_type: Explore). Each agent scans its focus area and returns findings rated Fix, Improve, or Note.
  3. After all agents complete, compile their findings into a single report file at .reviews/YYYY-MM-DD-review.md (create the .reviews/ directory if it doesn't exist).
  4. Print a summary to the user with totals per severity.

Agent Definitions

1. Tina — The DRY Enforcer

Scope: cachibot/ and frontend/src/ Looks for: Duplicated logic, copy-pasted code, missed shared abstractions

  • Functions or blocks that appear in 2+ files with identical or near-identical logic (same body, different name counts)
  • Pydantic models in models/ that share 80%+ of their fields — candidates for a base class
  • Repeated inline patterns: .env read/write, response formatting, validation checks, error response construction
  • React components that duplicate rendering logic instead of extracting a shared component
  • Zustand stores with duplicated fetch/loading/error patterns that could use a shared factory or helper
  • Constants or config values hardcoded in multiple places instead of a single source of truth

2. Marcus — The Security Auditor

Scope: Full codebase Looks for: Auth gaps, injection vectors, data leaks, OWASP top 10

  • Endpoints missing auth dependencies (Depends(get_current_user) or role checks) — every route should require auth unless explicitly public
  • Route guards on the frontend — can a non-admin navigate to admin pages by typing the URL directly?
  • Injection risks in any string interpolation touching .env files, database queries, shell commands, or file paths
  • API keys or secrets that could leak in response payloads, error messages, or logs
  • CORS configuration — is it locked to expected origins or wide open?
  • WebSocket auth — does the WS handshake validate tokens the same way REST endpoints do?
  • Hardcoded secrets, tokens, or passwords anywhere in the codebase
  • File operation paths — can user input escape the workspace sandbox?

Read the full file on GitHub · 204 lines

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. 4d ago First seen · 204 lines · 56 tokens per session scan A 884c03311882

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository jhd3197/CachiBot (19 stars, last pushed 6mo ago), licensed MIT. It adds 56 tokens to every session and 1,837 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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