review-a-design

review-a-design is a skill for Claude Code, Codex from inkeep/open-knowledge-skills. It costs 175 tokens per session (3,320 once invoked), scanned A, original, MIT.

A review method for deciding whether a proposed design addresses the right problem and follows from its goals and constraints.

In plain words
What is it for?
It helps assess designs, pressure-test proposals, compare alternatives, and produce ranked findings supported by evidence without editing the original design.
Why use it?
It distinguishes design soundness from merely checking whether a proposal is complete or factually correct.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Part of the software-lifecycle plugin — 6 skills shipped together

Good fit It helps assess designs, pressure-test proposals, compare alternatives, and produce ranked findings supported by evidence without editing the original design.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/inkeep/open-knowledge-skills/review-a-design
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 inkeep/open-knowledge-skills --skill review-a-design
Clone the repo
git clone --depth 1 https://github.com/inkeep/open-knowledge-skills

Made for: Claude Code, Codex.

Or install software-lifecycle, the plugin that ships this one along with the rest of its 6 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 review-a-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/inkeep/open-knowledge-skills/review-a-design/github.svg)](https://agentmods.dev/skills/inkeep/open-knowledge-skills/review-a-design)
Your own site
<a href="https://agentmods.dev/skills/inkeep/open-knowledge-skills/review-a-design"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge-skills/review-a-design/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-a-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/inkeep/open-knowledge-skills/review-a-design"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge-skills/review-a-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 175 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,320 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.
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 $0.00175 $0.03320
Opus 5 $0.00088 $0.01660
Sonnet 5 $0.00035 $0.00664
Haiku 4.5 $0.00017 $0.00332

Measured 9d ago against content hash aca6237c1ee3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

review-a-design 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 9d 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/starter-packs/software-lifecycle/review-a-design/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review a design — is it sound, not just complete

The platform /open-knowledge skill still governs every markdown operation here (reads via exec, writes via write/edit, links as plain relative markdown, MCP owns in-scope .md); this skill layers design-review craft on top of it.

Three reviews are not the same review, and only one is this skill's job.

  • Completeness review asks: is every section filled in? (Are Drawbacks and Alternatives non-empty?)
  • Correctness review asks: are the individual claims true? (Does the benchmark really say 40ms? Is that API deprecated?)
  • Soundness review asks: should this be built at all, and is this the design that follows from the stated goals and constraints?

You are doing the third. A proposal can be complete and factually correct and still be the wrong design — solving a symptom, chosen before its goals, engaging only strawman alternatives. Completeness and correctness are cheap to check and someone else's pass. Say this to the user up front if there's any ambiguity about what kind of review they want, then do soundness.

You produce findings, not edits. The author decides what to change. Never rewrite the artifact under review unless explicitly asked.


Step 0: Identify the artifact and read it — and what it inherits

HARD GATE: never review a design you have not read end to end, and never review it in isolation from the decisions it inherits. A review of the first half is worse than no review — it spends the author's trust on partial understanding.

  1. Identify the type. It is one of:
    • a proposal (proposals/NNNN-name.md — Motivation / Design / Drawbacks / Alternatives / Unresolved questions),
    • a spec (specs/NNN-name/spec.md — Goals / Non-goals / Design / Migration / Test plan, with a parent_proposal:),
    • a decision (decisions/NNNN-title.md — Context / Decision / Consequences, with a supersedes: chain), or
    • an in-flight choice with no document yet (the user is deciding in conversation). This is a valid target — see Step 1.
  2. Read it whole: exec("cat proposals/0003-feature.md").
  3. Read what it depends on. A design is only as sound as the ground it stands on:
    • the parent proposal a spec links via parent_proposal:, and any proposal a decision implements;
    • the decisions it assumesexec("grep -rln <subsystem-keyword> decisions/"), then cat the relevant ones. A design that contradicts an accepted ADR without noting it is a finding by itself.
    • the prior postmortems in the same subsystemexec("ls -A postmortems/") and search({ query: "<subsystem> failure" }). A postmortem names a failure mode; a design that reintroduces it is your highest-value catch.
    • sibling proposals/decisions it supersedes or overlaps — follow the supersedes: chain both directions.
  4. If the design references source code, read the code with the host's native tools (Read, Grep) — source is outside the knowledge base. In-scope markdown stays on exec/search.

Read the full file on GitHub · 138 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. 9d ago First seen · 138 lines · 175 tokens per session scan A aca6237c1ee3

Subscribe to this mod's changes

review-a-design is a skill published in the GitHub repository inkeep/open-knowledge-skills (8 stars, last pushed today), licensed MIT. It adds 175 tokens to every session and 3,320 once invoked, about $0.0009 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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