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.
npx skills add inkeep/open-knowledge-skills --skill review-a-designgit clone --depth 1 https://github.com/inkeep/open-knowledge-skillsWrote 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.
[](https://agentmods.dev/skills/inkeep/open-knowledge-skills/review-a-design)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
- 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 aparent_proposal:), - a decision (
decisions/NNNN-title.md— Context / Decision / Consequences, with asupersedes:chain), or - an in-flight choice with no document yet (the user is deciding in conversation). This is a valid target — see Step 1.
- a proposal (
- Read it whole:
exec("cat proposals/0003-feature.md"). - 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 assumes —
exec("grep -rln <subsystem-keyword> decisions/"), thencatthe relevant ones. A design that contradicts an accepted ADR without noting it is a finding by itself. - the prior postmortems in the same subsystem —
exec("ls -A postmortems/")andsearch({ 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.
- the parent proposal a spec links via
- 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 onexec/search.
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.
- 9d ago First seen · 138 lines · 175 tokens per session scan A aca6237c1ee3
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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