code-review

code-review is a skill for Claude Code from DDS-Solutions/AI-TadPole-OS. It costs 42 tokens per session (1,266 once invoked), scanned A, original, MIT.

A two-part code-review process that compares current code with a chosen earlier point: one part checks project standards and common code smells, while the other checks whether the requested requirements were implemented.

In plain words
What is it for?
It helps review commits or branches, inspect the change history and diff, check repository conventions, identify code smells, and verify a specification line by line.
Why use it?
A review can overlook either code quality or missing requirements when it checks only one of them. Separate review paths cover both concerns.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; mentions AGENTS.md.

Good fit It helps review commits or branches, inspect the change history and diff, check repository conventions, identify code smells, and verify a specification line by line.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dds-solutions/ai-tadpole-os/code-review
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 DDS-Solutions/AI-TadPole-OS --skill code-review
Clone the repo
git clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OS

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 code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/code-review/github.svg)](https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/code-review)
Your own site
<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/code-review"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/code-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 code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/code-review"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,266 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.
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 $0.00042 $0.01266
Opus 5.5 $0.00017 $0.00506
Sonnet 5.5 $0.00008 $0.00253
Haiku 4.5 $0.00004 $0.00127

Measured 3d ago against content hash 665f30a70f41, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/two_axis_reviewer.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agent/skills/code-review/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

[!IMPORTANT] AI Context & Knowledge Heritage

  • Subsystem: Agent Skills Registry / code-review
  • Architecture: @docs ARCHITECTURE:Documentation
  • Failure Path: Merged-axis bias, unverified requirement coverage, ungrounded review comments.
  • Observability: Traceability via execution/parity_guard.py ([SKILL])

Two-Axis Code Review Protocol

Review the diff between HEAD and a fixed point along two distinct, un-merged axes:

  • Standards Axis: Does the code conform to documented repo standards, clean-code invariants, and Fowler code smells?
  • Spec Axis: Does the code faithfully implement the originating issue, blueprint, or PRD requirements?

Both axes run as parallel sub-agents so that cognitive bias from one axis does not pollute the other.


📚 Progressive Disclosure & L3 Reference Index

Consult deep L3 Reference Guides and verification tools on demand:


1. Pin the Fixed Point

Before initiating review, establish a deterministic baseline:

  1. Determine the fixed point (commit SHA, branch, tag, main, HEAD~5).
  2. Verify resolution: git rev-parse <fixed-point>.
  3. Capture diff once: git diff <fixed-point>...HEAD (three-dot comparison against merge-base).
  4. Capture commit log: git log <fixed-point>..HEAD --oneline.

2. Identify Review Sources

Spec Source

Locate the originating requirements in priority order:

  1. Issue references in commit messages (#123, Closes #45).
  2. A blueprint, spec, or PRD file passed in conversation or found under docs/, specs/, or .tmp/.
  3. If no spec is found, note "No spec available" and skip the Spec sub-agent.

Read the full file on GitHub · 106 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. 3d ago Changed · +26 lines · -1 tokens per session 665f30a70f41
  2. 1mo ago First seen · 80 lines · 43 tokens per session scan A 5e1ff661e68c

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed 3d ago), licensed MIT. It adds 42 tokens to every session and 1,266 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.

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