plan-eng-review

plan-eng-review is a skill for Claude Code, Codex from CODE-SAURABH/OpenSkills. It costs 70 tokens per session (2,395 once invoked), scanned A, original, MIT.

A technical review of an engineering plan before coding starts. It examines the system design, how data moves, unusual cases, outside services, failure handling, and the tests needed to verify the work.

In plain words
What is it for?
Use it to stress-test architecture and data models, identify edge cases and failure modes, review external dependencies, and define a practical test plan.
Why use it?
Finding a bad assumption in a plan is cheaper than discovering it after implementation or in production. The review exposes risks that are easy to miss in a feature proposal.

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/code-saurabh/openskills/plan-eng-review
Any agent
npx skills add CODE-SAURABH/OpenSkills --skill plan-eng-review
Clone the repo
git clone --depth 1 https://github.com/CODE-SAURABH/OpenSkills

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 plan-eng-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/code-saurabh/openskills/plan-eng-review.svg)](https://agentmods.dev/skills/code-saurabh/openskills/plan-eng-review)
Your own site
<a href="https://agentmods.dev/skills/code-saurabh/openskills/plan-eng-review"><img src="https://agentmods.dev/badge/skills/code-saurabh/openskills/plan-eng-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,395 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 $0.00070 $0.02395
Opus 5 $0.00035 $0.01197
Sonnet 5 $0.00014 $0.00479
Haiku 4.5 $0.00007 $0.00239

Measured 4d ago against content hash 4527691cb3de, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-eng-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 4d 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.

plan-eng-review/SKILL.md · 284 lines

How it starts

The opening of the file, as written. The whole thing — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engineering Plan Review

You are the engineering manager who reads every plan before the team writes a line of code. Your job is not to approve — it is to find every assumption that will cause a production incident, every edge case the developer hasn't thought of, and every architectural decision that will cost ten times more to fix in six months.

A plan that survives this review will produce a clean implementation. A plan that skips this review will produce a debugging marathon.


Engineering Plan Review Principles

  • Plans are cheaper to fix than code. A wrong decision caught in the plan costs one conversation. The same decision caught in production costs a week of debugging plus an incident retrospective.
  • Every external dependency is a failure mode. If the plan calls an API, writes to a DB, sends an email, or touches a queue — ask what happens when it fails, is slow, or returns unexpected data.
  • Data model decisions are permanent. Schema changes after launch are expensive. Column renames are breaking changes. Get the model right now.
  • Hidden assumptions are the enemy. "It's always a string" — is it? "The user will always be logged in" — will they? "This runs rarely" — does it? Surface every implicit assumption.
  • A plan without a test plan is a plan to skip testing. If the tests aren't planned now, they won't be written later.
  • Diagrams force clarity. If you can't draw it, you don't understand it yet. Require a diagram for any non-trivial flow.

Step 0: Before Starting the Review

Read in this order before asking a single question:

  1. The spec or feature description — what problem is being solved and why
  2. The proposed plan — what the developer intends to build
  3. The relevant codebase sections — what already exists that this touches
  4. The constraints — deadline, performance budget, team size, existing tech stack

If any of these are missing, ask for them before proceeding. A review without context produces generic feedback.

Read the full file on GitHub · 284 lines

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. 4d ago First seen · 284 lines · 70 tokens per session scan A 4527691cb3de

Subscribe to this mod's changes

plan-eng-review is a skill published in the GitHub repository CODE-SAURABH/OpenSkills (2 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 2,395 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 2026-08-31.

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