kb: Skill for Claude Code

.agents/skills/cy-review-round/SKILL.md

cy-review-round is a skill for Claude Code, Codex from compozy/kb. It costs 84 tokens per session (2,049 once invoked), scanned A, original, MIT.

A structured code-review workflow for checking whether an implemented product requirement works correctly and recording new issues in review files.

In plain words
What is it for?
Use it to audit a feature implementation, review selected files, create a numbered review round, and prepare issue records for a later fixing workflow.
Why use it?
It provides an organised review history and avoids reporting issues that were already found in earlier review rounds.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is compozy/kb's own configuration. It tells Claude Code and Codex how to work on kb 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 kb configures →

Reuse

Borrowing it

Nothing to install: this file belongs to compozy/kb. 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/compozy/kb/main/.agents/skills/cy-review-round/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/compozy/kb

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 cy-review-round

README.md
[![agentmods](https://agentmods.dev/badge/skills/compozy/kb/cy-review-round.svg)](https://agentmods.dev/skills/compozy/kb/cy-review-round)
Your own site
<a href="https://agentmods.dev/skills/compozy/kb/cy-review-round"><img src="https://agentmods.dev/badge/skills/compozy/kb/cy-review-round.svg" alt="Measured on agentmods" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,049 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 5.1 $0.00084 $0.02049
Opus 5 $0.00042 $0.01025
Sonnet 5 $0.00017 $0.00410
Haiku 4.5 $0.00008 $0.00205

Measured 6d ago against content hash 9808c26f113e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

cy-review-round 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 6d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/cy-review-round/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Round

Perform a structured code review of a PRD implementation and produce a review round directory that the cy-fix-reviews workflow can process.

Required Inputs

  • Feature name identifying the .compozy/tasks/<name>/ directory.
  • Optional: specific files or directories to scope the review.

Workflow

  1. Determine the review round directory.

    • Derive the PRD directory from the feature name: .compozy/tasks/<name>/.
    • Verify the PRD directory exists. If it does not, stop and report the missing directory.
    • List existing reviews-NNN/ subdirectories to determine the next round number. If none exist, use round 1.
    • If prior review rounds exist, read their issue files to build a list of already-known issues. The current round must only contain NEW issues not already tracked in prior rounds. Do not re-flag issues that are pending, valid, or resolved in earlier rounds.
    • Determine the review round directory path: .compozy/tasks/<name>/reviews-NNN/ with the round number zero-padded to 3 digits. Do NOT create it yet — wait until step 4 confirms there are issues to write. This avoids leaving empty directories when the review finds no issues.
  2. Identify the review scope.

    • Read _prd.md, _techspec.md, and _tasks.md from the PRD directory to understand what was implemented and why.
    • Read ADRs from .compozy/tasks/<name>/adrs/ for architectural decision context.
    • If _prd.md and _techspec.md are both missing, warn that the review will lack requirements context but proceed with a code-quality-only review.
    • If the user provided specific files or directories, scope the review to those paths.
    • If no explicit scope was provided, run git diff main...HEAD --name-only to discover all files created or modified on the current branch. If the diff is empty or unhelpful, ask the user to specify files.
    • Spawn an Agent tool call to explore the identified files, their imports, and their dependencies to build a map of the implementation.

Read the full file on GitHub · 121 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 121 lines · 84 tokens per session scan A 9808c26f113e

Subscribe to this mod's changes

cy-review-round is a skill published in the GitHub repository compozy/kb (108 stars, last pushed 16d ago), licensed MIT. It adds 84 tokens to every session and 2,049 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens