amber-review

A repository-specific code-review workflow checks code changes against the project's documented engineering, security, frontend, backend, and Kubernetes standards. A pull request is a proposed set of changes for review before merging.

In plain words
What is it for?
It helps review files, branches, or pull requests and check areas such as authentication, permissions, error handling, data fetching, and Kubernetes resource management.
Why use it?
It gives reviewers a consistent way to find quality, security, and convention problems before changes are merged.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/ambient-code/platform/amber-review
Any agent
npx skills add ambient-code/platform --skill amber-review
Clone the repo
git clone --depth 1 https://github.com/ambient-code/platform

Made for: Claude Code, Codex.

Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,347 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00065 $0.01347
Opus 5 $0.00032 $0.00674
Sonnet 5 $0.00013 $0.00269
Haiku 4.5 $0.00006 $0.00135

Measured 2d ago against content hash 8bb0642a1ff3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

amber-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 2d 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.

skills/amber-review/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amber Review

Stringent, standards-driven code review against this repository's documented patterns, security requirements, and architectural conventions.

User Input

$ARGUMENTS

Consider the user input before proceeding (if not empty). The input may specify files, a PR number, a branch, or a focus area.

Execution Steps

1. Load Review Context

Read all of the following files to build your review context. Do not skip any.

  1. CLAUDE.md (master project instructions)
  2. specs/standards/backend/conventions.spec.md (Go backend, Gin, K8s integration)
  3. specs/standards/frontend/conventions.spec.md (NextJS, Shadcn UI, React Query)
  4. specs/standards/security/security.spec.md (auth, RBAC, token handling, container security)
  5. specs/standards/backend/k8s-client.spec.md (user token vs service account)
  6. specs/standards/backend/error-handling.spec.md (consistent error patterns)
  7. specs/standards/frontend/react-query.spec.md (data fetching patterns)
  8. specs/standards/control-plane/conventions.spec.md (K8s operator, reconciliation, OwnerReferences)

2. Identify Changes to Review

Determine the scope based on user input:

  • If a PR number is provided: Use gh pr diff <number> to get the diff
  • If files/paths are provided: Review those specific files
  • If a branch is provided: Diff against main
  • If no input: Review all uncommitted changes (git diff + git diff --cached)

3. Perform Review

Evaluate every changed file against the loaded standards. Apply ALL relevant checks.

Review Axes
  1. Code Quality — Does it follow CLAUDE.md patterns? Naming conventions?
  2. Security — User token auth (GetK8sClientsForRequest), RBAC checks, token redaction, input validation, SecurityContext on Job pods, no secrets in code
  3. Performance — Unnecessary re-renders, missing query key parameters, N+1 queries, unbounded list operations
  4. Testing — Adequate coverage for new functionality? Tests follow existing patterns?
  5. Architecture — Follows project structure? Correct layer separation?
  6. Error Handling — No panic(), no silent failures, wrapped errors with context, generic user messages with detailed server logs

Read the full file on GitHub · 139 lines

Files

What ships with it

1 file 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. 2d ago First seen · 139 lines · 65 tokens per session scan A 8bb0642a1ff3

Subscribe to this mod's changes

amber-review is a skill published in the GitHub repository ambient-code/platform (129 stars, last pushed 2d ago), licensed MIT. It adds 65 tokens to every session and 1,347 once invoked, about $0.0003 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 2026-08-30.

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