sk-code-review

sk-code-review is a skill for Claude Code, OpenCode from MichelKerkmeester/skilled-agent-harness_spec-driven-loops. It costs 29 tokens per session (6,243 once invoked), scanned A, original, MIT.

A general code-review workflow that reports findings with severity and evidence, while checking basic security and correctness.

In plain words
What is it for?
Use it for code reviews, pull requests, audits, security or correctness checks, and merge-readiness decisions.
Why use it?
It helps identify risks before code is merged and separates review findings from implementation work.

Skill for Claude CodeOpenCode

Written for Claude Code and OpenCode: allowed-tools in frontmatter, but also installed under .opencode/. Also seen: positional $N argument; mentions OpenCode.

Good fit Use it for code reviews, pull requests, audits, security or correctness checks, and merge-readiness decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-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 MichelKerkmeester/skilled-agent-harness_spec-driven-loops --skill sk-code-review
Clone the repo
git clone --depth 1 https://github.com/MichelKerkmeester/skilled-agent-harness_spec-driven-loops

Made for: Claude Code, OpenCode.

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 sk-code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-code-review/github.svg)](https://agentmods.dev/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-code-review)
Your own site
<a href="https://agentmods.dev/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-code-review"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-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 sk-code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-code-review"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,243 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
  • 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 $0.00029 $0.06243
Opus 5 $0.00015 $0.03121
Sonnet 5 $0.00006 $0.01249
Haiku 4.5 $0.00003 $0.00624

Measured today against content hash 12a24a3c9669, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

sk-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 today.

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.

.opencode/skills/sk-code/sk-code-review/SKILL.md · 545 lines

How it starts

The opening of the file, as written. The whole thing — 545 lines — stays where its author put it; the contents beside it link to each section on GitHub.

code-review Mode - Stack-Agnostic Findings-First Review

Universal findings-first review baseline paired with sk-code surface standards evidence for the detected code surface.

1. WHEN TO USE

Activation Triggers

Use the code-review mode (of the sk-code family) when:

  • A user asks for code review, PR review, quality gate, or merge readiness.
  • A workflow dispatches @review for pre-commit or gate validation.
  • A user requests security/correctness risk analysis before merge.
  • A user wants severity-ranked findings with file:line evidence.

Keyword Triggers

review, code review, pr review, audit, security review, quality gate, request changes, findings, blocking issues, merge readiness

Use Cases

  1. Review-only pass: findings-first output with no code edits.
  2. Gate validation: score + pass/fail recommendation for orchestrated workflows.
  3. Focused risk pass: security, concurrency, correctness, or removal-focused review.

When NOT to Use

  • Feature implementation without review intent; use the surface skill (code-webflow / code-opencode).
  • Pure documentation editing where code behavior is not being assessed.
  • Git-only workflow tasks (branching, rebasing, commit hygiene) without code-quality evaluation intent.
  • Applying review fixes after findings are accepted; use the surface skill (code-webflow / code-opencode).
  • Author-side quality gates before review; use code-quality.
  • Root-cause debugging; use the surface's workflow-debug.md doctrine.
  • Verification evidence collection; use the surface's workflow-verify.md doctrine.

2. SMART ROUTING

Primary Detection Signal

Review behavior follows a baseline+surface-evidence model:

  • Baseline (always): the code-review mode (of the sk-code family) findings-first doctrine.
  • Surface standards evidence (when available): sk-code detected surface resources.
  • Unknown surfaces: review against baseline security/correctness only and disclose uncertainty.

Read the full file on GitHub · 545 lines

Files

What ships with it

60 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. today Changed 12a24a3c9669
  2. 7d ago First seen · 545 lines · 29 tokens per session scan A ea139a92bef6

Subscribe to this mod's changes

sk-code-review is a skill published in the GitHub repository MichelKerkmeester/skilled-agent-harness_spec-driven-loops (35 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 6,243 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.