review

review is a skill for Claude Code from parcadei/Continuous-Claude-v3. It costs 13 tokens per session (1,231 once invoked), scanned A, original, MIT.

A structured process for reviewing code from several perspectives and combining the findings into a final assessment.

In plain words
What is it for?
Use it for code reviews, pull requests, implementation feedback, and checks before a significant change is merged.
Why use it?
It helps uncover problems in code quality, design, whether the changes match the plan, and possible risks before merging.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

not rated 3.9krepo +2 7mo ago A scan Socket: passSnyk: warnSkillSpector: pass 13 tokens original MIT

Good fit Use it for code reviews, pull requests, implementation feedback, and checks before a significant change is merged.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/parcadei/continuous-claude-v3/review
About the project

Continuous-Claude-v3 is a Claude Code development environment that preserves working context between sessions, coordinates specialized agents, and stores project knowledge through ledgers, handoffs, and analysis tools. It is for people using Claude Code on ongoing or complex software work. Its catalogue entries are the skills, agents, hooks, plugin, and setting that provide its workflows and orchestration.

parcadei/Continuous-Claude-v3 · 3,938 stars · on GitHub

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.

Any agent
npx skills add parcadei/Continuous-Claude-v3 --skill review
Clone the repo
git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3

Made for: Claude Code.

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 review

README.md
[![agentmods](https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/review/github.svg)](https://agentmods.dev/skills/parcadei/continuous-claude-v3/review)
Your own site
<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/review"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for review

Your own site · 80×15
<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/review"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,231 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk warn 15 Feb 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00013 $0.01231
Opus 5 $0.00006 $0.00616
Sonnet 5 $0.00003 $0.00246
Haiku 4.5 $0.00001 $0.00123

Measured 9d ago against content hash a5b93725181c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

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 9d 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/review/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/review - Code Review Workflow

Multi-perspective code review with parallel specialists.

When to Use

  • "Review this code"
  • "Review my PR"
  • "Check this before I merge"
  • "Get feedback on implementation"
  • Before merging significant changes
  • Quality gates

Workflow Overview

         ┌──────────┐
         │  critic  │ ─┐
         │ (code)   │  │
         └──────────┘  │
                       │
         ┌──────────┐  │      ┌──────────────┐
         │plan-reviewer│ ─┼────▶ │ review-agent │
         │ (plan)   │  │      │ (synthesis)  │
         └──────────┘  │      └──────────────┘
                       │
         ┌──────────┐  │
         │plan-reviewer│ ─┘
         │ (change) │
         └──────────┘

         Parallel                Sequential
         perspectives            synthesis

Agent Sequence

# Agent Focus Execution
1 critic Code quality, patterns, readability Parallel
1 plan-reviewer Architecture, plan adherence Parallel
1 plan-reviewer Change impact, risk assessment Parallel
2 review-agent Synthesize all reviews, final verdict After 1

Review Perspectives

  • critic: Is this good code? (Style, patterns, readability)
  • plan-reviewer: Does this match the design? (Architecture, plan)
  • plan-reviewer: Is this change safe? (Risk, impact, regressions)
  • review-agent: Overall assessment and recommendations

Execution

Phase 1: Parallel Reviews

# Code quality review
Task(
  subagent_type="critic",
  prompt="""
  Review code quality: [SCOPE]

  Evaluate:
  - Code style and consistency
  - Design patterns used
  - Readability and maintainability
  - Error handling
  - Test coverage

  Output: List of issues with severity (critical/major/minor)
  """,
  run_in_background=true
)

# Architecture review
Task(
  subagent_type="plan-reviewer",
  prompt="""
  Review architecture alignment: [SCOPE]

  Check:
  - Follows established patterns
  - Matches implementation plan (if exists)
  - Consistent with system design
  - No architectural violations

  Output: Alignment assessment with concerns
  """,
  run_in_background=true
)

# Change impact review
Task(
  subagent_type="plan-reviewer",
  prompt="""
  Review change impact: [SCOPE]

  Assess:
  - Risk level of changes
  - Affected systems/components
  - Backward compatibility
  - Potential regressions
  - Security implications

  Output: Risk assessment with recommendations
  """,
  run_in_background=true
)

# Wait for all parallel reviews
[Check TaskOutput for all three]

Read the full file on GitHub · 216 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. 9d ago First seen · 216 lines · 13 tokens per session scan A a5b93725181c

Subscribe to this mod's changes

review is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,938 stars, last pushed 7mo ago), licensed MIT. It adds 13 tokens to every session and 1,231 once invoked, about $0.0001 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 2026-09-03.

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