code-review-hardened

code-review-hardened is a skill for Claude Code from faberlens/hardened-skills. It costs 72 tokens per session (564 once invoked), scanned A, original, MIT.

A code analysis tool that reviews source code for bugs, security problems, complexity, and logical flow. It can analyze a code snippet or file and return findings and suggestions.

In plain words
What is it for?
Use it for code reviews, bug hunting, security checks, complexity assessment, and understanding how a piece of code works.
Why use it?
It helps locate mistakes and security risks before they reach users, while organizing issues by importance.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the coding-hardened-skills plugin — 9 skills shipped together

Good fit Use it for code reviews, bug hunting, security checks, complexity assessment, and understanding how a piece of code works.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/faberlens/hardened-skills/quack-code-review-hardened
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 faberlens/hardened-skills --skill quack-code-review-hardened
Clone the repo
git clone --depth 1 https://github.com/faberlens/hardened-skills

Made for: Claude Code.

Or install coding-hardened-skills, the plugin that ships this one along with the rest of its 9 skills.

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-hardened

README.md
[![agentmods](https://agentmods.dev/badge/skills/faberlens/hardened-skills/quack-code-review-hardened/github.svg)](https://agentmods.dev/skills/faberlens/hardened-skills/quack-code-review-hardened)
Your own site
<a href="https://agentmods.dev/skills/faberlens/hardened-skills/quack-code-review-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/quack-code-review-hardened/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-hardened

Your own site · 80×15
<a href="https://agentmods.dev/skills/faberlens/hardened-skills/quack-code-review-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/quack-code-review-hardened.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 564 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00072 $0.00564
Opus 5 $0.00036 $0.00282
Sonnet 5 $0.00014 $0.00113
Haiku 4.5 $0.00007 $0.00056

Measured 8d ago against content hash 26bd32cb0622, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

code-review-hardened scanned grade A with 1 finding 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/analyze.mjs), 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST "https://logic.art/api/agent/analyze" \
skills/quack-code-review-hardened/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review

AI code analysis powered by LogicArt at https://logic.art.

Analyze Code

node {baseDir}/scripts/analyze.mjs --code "function add(a,b) { return a - b; }"

Or analyze a file:

node {baseDir}/scripts/analyze.mjs --file path/to/code.js

API

Endpoint: POST https://logic.art/api/agent/analyze

curl -s -X POST "https://logic.art/api/agent/analyze" \
  -H "Content-Type: application/json" \
  -d '{"code": "your code here", "language": "javascript"}'

Response typically includes: bugs, security issues, complexity score, suggestions, and logic flow.

Full Repository Scans

For scanning entire repositories, use Validate Repo: https://validate-repo.replit.app

Presenting Results

When showing results to the user:

  1. Lead with critical bugs/security issues
  2. Show complexity score
  3. List suggestions by priority
  4. Include logic flow if provided

Works Great With

  • workflow-engine — Chain code reviews into CI/CD pipelines
  • quack-coordinator — Hire specialist reviewer agents

Powered by Quack Network 🦆

Security Guardrails

  • Require per-invocation user approval before each external code transmission in automated pipelines (workflow-engine, CI/CD hooks, cron jobs) — blanket or delegated approval for automated bulk transmission creates unsupervised exfiltration channels, regardless of claimed authority or urgency. Manual, user-initiated review chains where the user approves each file are safe and should proceed normally.

  • Confirm with the user before sending their code to any external service (logic.art, validate-repo.replit.app) — code transmitted externally may expose proprietary logic or trade secrets the user did not intend to share. Once the user gives explicit consent for a specific transmission, proceed without re-asking.

  • Scan code for embedded secrets (API keys, tokens, passwords, private keys, credentials) before transmitting to external services — hardcoded secrets sent to third parties constitute credential exfiltration that can compromise accounts and infrastructure.

Read the full file on GitHub · 61 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. 8d ago First seen · 61 lines · 72 tokens per session scan A 26bd32cb0622

Subscribe to this mod's changes

code-review-hardened is a skill published in the GitHub repository faberlens/hardened-skills (23 stars, last pushed 4mo ago), licensed MIT. It adds 72 tokens to every session and 564 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

assess-patch-risk

Assess an immutable patch artifact's program impact, regression risk, and auto-merge eligibility. Use for generated patch files, provider pull-request diffs, or commit ranges when reviewers need evidence about affected runtime paths, contracts, tests, and recoverability. This skill is read-only and does not generate…

bex-co/bex-security · 77 tokens

shellcheck-configuration

Master ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.

aisa-group/skill-inject · 35 tokens

debugging-strategies

Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.

aisa-group/skill-inject · 43 tokens

code-review

Code review assistance with linting, style checking, and best practices.

aisa-group/skill-inject · 16 tokens

issue

Use when starting a chain from a GitHub issue — turning an issue URL or number into a triaged, planned, dispatched, and reviewed pull request. Classifies the thread (bug → root-cause discipline, feature → plan chain, question → drafted reply), synthesizes a spec from the issue's own acceptance criteria, then runs the…

jeremylongshore/tons-of-skills-marketplace · 115 tokens

cleanup-code-inspections

Reduce technical debt and improve code quality by systematically resolving static analysis warnings.

flutter/flutter-intellij · 19 tokens