CC-Review Agent Skill

Performs evidence-backed technical audits of plans, implementations, and Pull Requests with automated impact analysis and routing.

Context cost
12.3k tokensestimated from the bundle, loaded when it triggers
Bundle
12 files · 62.1 kB2 scripts among them — read before you run
Licence
not declarednone named by its author
Last change
—v2.7.0
Servers it uses
Noneruns standalone

What it does

Use when a plan, bug fix, PR, implementation diff, or complexity hotspot needs review findings. Plan reviews write findings into task.md; implementation reviews ask the user to choose a repair option before fixing.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

collaboration

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md19.5 kB · preview
--- name: cc-review version: 2.7.0 triggers: - 深度 review 这个方案 - review 这个复杂需求 - review 这个 bug 修复 - 做一次 cc-review - deep review this plan - review this implementation deeply - check code smells - review complexity hotspots - 复杂度专项 review - run cc-review reads: - PLAYBOOK.md - references/review-methods.md - references/plan-review-branch.md - references/implementation-review-branch.md - references/e2e-and-plugin-verification.md - references/complexity-optimization-playbook.md - references/complexity-report-template.md - scripts/collect-review-context.sh - scripts/analyze_complexity.py - references/checklist-contract.md writes: - path: current response durability: ephemeral required: true - path: devflow/changes/<change-key>/task.md durability: durable required: false when: plan or investigation contract review changes the task contract effects: - optional deep review - read-only reviewer agent dispatch - finding aggregation - complexity hotspot review - reroute recommendation entry_gate: - Classify the review target as plan, implementation, PR, or mixed. - Read only the task, PR, diff, code, tests, logs, screenshots, and docs needed to review the requested scope. - Use Git history and current diff as the only durable review memory; do not load or create process files. - For repeat reviews, use `git diff <old>...HEAD` or `scripts/collect-review-context.sh` to narrow the delta before re-reviewing. - Freeze the requested scope before finding smells; report only issues inside the change blast radius or clearly amplified by it. - When the scope includes loops, rendering, repeated scans, database/API iteration, large inputs, or performance-sensitive paths, select the built-in complexity facet and use the local scanner/reference copy only as leads. - Subagents are optional read-only reviewers; their raw output stays in the conversation and is not saved to files. exit_criteria: - Findings are listed first, ordered by severity and backed by concrete file/line, command, diff, UI, log, or missing-evidence proof. - Every finding has impact, recommendation, and route: cc-plan, cc-do, cc-check, cc-act, or stop. - Findings include an ASCII Branch Chain when they involve plan scope, root cause, implementation behavior, PR diff risk, or code smell propagation; each non-trivial chain records evidence, diagnosis, causal path, Phenomenal/Essential/Philosophical layers, at least three upstream layers, and at least three downstream layers. Tree connector characters stay ASCII while node text follows the configured output language. - Plan or investigation review findings are written into the relevant `task.md` section before exit. - Implementation review findings are returned with concrete repair options and a blocking user choice; no repair happens until the user selects an option. - In-scope code smells are either findings, explicit defers, or clean with reason. - Selected review facets or changed surfaces are checked, skipped with reason, or blocked; no artificial finding cap was applied. - If the complexity facet is selected, findings include current pattern, estimated current complexity, recommended change, estimated complexity after, risk level, and tests or measurements needed. - Subagent findings, when used, are accepted, merged, downgraded, or rejected by the main thread before final output. - If no issues are found, the answer says so and names residual test or evidence risk. - No process file was created. reroutes: - when: Plan assumptions, scope, architecture, design, or DX contracts are wrong or incomplete. target: cc-plan - when: Implementation findings require code, test, docs, UI behavior, logs, or PR text changes. target: cc-do - when: Deep review is clean and only fresh evidence verification remains. target: cc-check recovery_modes: - name: scope-reset when: The review starts drifting into unrelated historical debt. action: Return to the current diff, task.md, or PR scope and discard out-of-scope notes. tool_budget: read_files: 30 search_steps: 18 shell_commands: 18 ---
78# CC-Review
79
80> [PROTOCOL]: 变更时同步更新 version、CHANGELOG.md、公开分发配置和相关文档,然后检查 CLAUDE.md
81
82## Default Output
83
84Match the review branch:
85
861. Target: plan, implementation, PR, mixed, or complexity hotspot.
872. Findings: ordered by severity with file/line, evidence, impact, fix, and route.
883. Branch Chain: included for each non-trivial finding with evidence, diagnosis, causal path, Phenomenal/Essential/Philosophical layers, at least three upstream layers, and at least three downstream layers; explicitly skipped only for trivial findings.
894. Repair options: required for implementation findings before editing.
905. Residual risk: test, runtime, docs, or evidence gaps.
916. Route: cc-plan, cc-do, cc-check, cc-act, or stop.
92
93## Checklist Contract
94
95Follow references/checklist-contract.md before each pause point. The checklist is the local do-confirm/read-do contract for this skill; skip only with an explicit blocker or route.
96
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md2,161 words
Files12
Licencenot declared
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈1,100
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
11,200
on trigger
The instruction body and 11 supporting files, read only when the skill fires.
6.2%
of a 200k window
Ten skills this size would take about 62% of the window before you open a file.
050k100k150k200k context window

12.3k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

12 files, 62.1 kB on disk. Mostly text — the instructions the model reads — with 2 scripts in it that your client would run only if the instructions tell it to.

  • SKILL.md19.5 kB
  • CHANGELOG.md5.6 kB
  • PLAYBOOK.md2.4 kB
  • references/checklist-contract.md1.4 kB
  • references/complexity-optimization-playbook.md3.0 kB
  • references/complexity-report-template.md0.8 kB
  • references/e2e-and-plugin-verification.md2.7 kB
  • references/implementation-review-branch.md3.2 kB
  • references/plan-review-branch.md3.1 kB
  • references/review-methods.md7.5 kB
  • scripts/analyze_complexity.py12.2 kB
  • scripts/collect-review-context.sh0.7 kB
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 2 scripts beside the text, so the bundle is 12 files you can review in full before installing.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# CC-Review · 12.3k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/cc-review/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/cc-review" ] && { [ ! -e .claude/skills/cc-review ] || { mv .claude/skills/cc-review "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/cc-review" .claude/skills/ && echo "Installed .claude/skills/cc-review"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add dimon94/cc-review

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/cc-review/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/cc-review/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/cc-review" ] && { [ ! -e ~/.claude/skills/cc-review ] || { mv ~/.claude/skills/cc-review "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/cc-review" ~/.claude/skills/ && echo "Installed ~/.claude/skills/cc-review" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/cc-review/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version2.7.0
Publishedno release date on file
PriceFree
Referencedimon94/cc-review

Versions

v2.7.0 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v2.7.0
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v2.7.0 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

Reviews

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Who can post

Anybody with an account, one review each. It carries the version that was current when you wrote it, and the publisher may reply once.

Who wrote it

DI
Dimon94

Publishes on mcprush.

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