phase: Skill for Claude Code

.claude/skills/review-engine-plan/SKILL.md

review-engine-plan is a skill for Claude Code, Codex from phase-rs/phase. It costs 69 tokens per session (4,045 once invoked), scanned A, original, Apache-2.0.

An architecture review checklist for plans that change a game engine, parser, artificial intelligence, user interface, or Magic: The Gathering rules implementation. It requires checking the plan against the code and, when useful, testing its main assumption with a small runtime probe.

In plain words
What is it for?
Use it before coding changes involving game rules, parsing, card effects, targeting, replacement effects, casting, combat, artificial intelligence, or related frontend behavior.
Why use it?
It catches missing design decisions and plans that sound correct but would behave differently in the running program.

Skill for Claude CodeCodex

Written for Claude Code and Codex: installed under .claude/, but also agents/openai.yaml present. Also seen: mentions CLAUDE.md; mentions Codex; $skill-name invocation.

This is phase-rs/phase's own configuration. It tells Claude Code and Codex how to work on phase itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything phase configures →

Reuse

Borrowing it

Nothing to install: this file belongs to phase-rs/phase. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/phase-rs/phase/main/.claude/skills/review-engine-plan/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/phase-rs/phase

Made for: Claude Code, Codex.

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-engine-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/phase-rs/phase/review-engine-plan/github.svg)](https://agentmods.dev/skills/phase-rs/phase/review-engine-plan)
Your own site
<a href="https://agentmods.dev/skills/phase-rs/phase/review-engine-plan"><img src="https://agentmods.dev/badge/skills/phase-rs/phase/review-engine-plan/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-engine-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/phase-rs/phase/review-engine-plan"><img src="https://agentmods.dev/badge/skills/phase-rs/phase/review-engine-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,045 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 $0.00069 $0.04045
Opus 5.5 $0.00028 $0.01618
Sonnet 5.5 $0.00014 $0.00809
Haiku 4.5 $0.00007 $0.00404

Measured 21d ago against content hash 9ea07f120c3c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-engine-plan 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 21d 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-engine-plan/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Engine Plan

Review the plan as an architectural gate. Reject the plan if any required dimension is missing, superficial, or contradicted by code evidence.

Probe policy — answer a concrete design uncertainty

You are not a read-only reviewer. Building and running throwaway probes is an expected part of this review, and it is the only instrument that can refute a plan whose prose is internally consistent but whose runtime behaviour differs. Static review structurally cannot catch a predicate that reads correctly and answers wrongly on a real board.

Prefer existing tests, fixtures, commands or supported tool APIs. Small probes may answer a disputed premise; they do not authorize a separate driver, seeding service or verification framework. Honor the caller's execution constraints, including a no-build constraint, and report unavailable evidence rather than bypassing it.

In every engine-implementer mode, use the supplied original task and scope/attempt history and follow its task scope and run limits. Machinery, before or after measurement, needs the orchestrator's accepted expansion case. A reviewer can identify a missing check, but returns it to the orchestrator instead of independently expanding or repairing tooling. Required correctness evidence remains required.

When execution is permitted, use an isolated CARGO_TARGET_DIR and the worktree's absolute path; never build in a checkout another process (e.g. Tilt) owns; serialize probe activity behind any active implementation executor.

Scout fact pack

A scout fact pack may accompany the plan, the same one the planner received. Treat it as unverified leads: check anything you rely on, and look beyond it. A missing fact is not evidence of absence, and the pack never bounds a sweep: check 3's rg of existing instances and check 9's construction/consumption enumeration are yours to run in full.

Read the full file on GitHub · 179 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. 21d ago Changed · +9 lines 9ea07f120c3c
  2. 24d ago Changed · +4 lines 1f3053939eea
  3. 29d ago Changed · +6 lines 7e9684518230
  4. 1mo ago Changed · +7 lines f1fa190caa52
  5. 1mo ago Changed · +1 lines 34c844c81742
  6. 1mo ago Changed · +2 lines 970e756e905c
  7. 2mo ago First seen · 150 lines · 69 tokens per session scan A aa92384e6a1a

Subscribe to this mod's changes

review-engine-plan is a skill published in the GitHub repository phase-rs/phase (312 stars, last pushed today), licensed Apache-2.0. It adds 69 tokens to every session and 4,045 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

critic-contract

Shared read-side contract every read-only CRITIC imports — adversarial stance, empirical verification of runtime-behavior claims, the mandatory self-red-team before APPROVE, how a finding is stated (quote the span, take the UNKNOWN escape hatch) and held (only new evidence moves a severity, never pushback), spec-UB…

saeedkolivand/ai-job-hunter-app · 97 tokens

code-quality

Shared clean-code / DRY / KISS / YAGNI standards and stack-specific smells for the React 19 + TypeScript + Rust (Tauri 2) monorepo. Library consumed by the code-quality-reviewer and code-quality-author agents.

saeedkolivand/ai-job-hunter-app · 55 tokens

review-workflow

The implement→review flow under the ≤3-reviewer budget with the conditional test stage. Use for /implement-feature, /fix-bug, /refactor-module and any change that needs structured review.

saeedkolivand/ai-job-hunter-app · 45 tokens

anarlog

Query Anarlog meetings, notes, summaries, transcripts, participants, action items, and recurring history, or import a local recording. Use when a user asks about their Anarlog meeting data or needs meeting context for another task.

fastrepl/anarlog · 50 tokens

graphify-windows

Turn any folder of files into a navigable knowledge graph with community detection, an honest audit trail, and three outputs: interactive HTML, GraphRAG-ready JSON, and a plain-language GRAPHREPORT.md.

saeedkolivand/ai-job-hunter-app · 75 tokens

lessons

How to propose and query distilled lessons (the experiential memory). Only project-steward persists; every other agent proposes/queries. Use when you discover a durable lesson or need prior experience for the current task.

saeedkolivand/ai-job-hunter-app · 45 tokens