review
Skill10 starsChanged 5 days agoMITView on GitHub
Run a tough but constructive internal critique of an engineering artifact — a design, draft report, calculation set, specification, or research brief. Use when the user asks for a review, critique, feedback, or wants weaknesses found before something is finalized or submitted. Severity-graded findings with a concrete revision plan.
192 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- microsoft/veronaedited, first seen Nov 8, 2026
- microsoft/FluidFrameworktheir own version, first seen Nov 8, 2026
- charliee1w/consolidation-memorytheir own version, first seen Nov 8, 2026
- jisuzzzz/haechitheir own version, first seen Nov 8, 2026
- apokamo/kajitheir own version, first seen Nov 8, 2026
- dirien/yet-another-agent-harnesstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use close-spec, design-with-images and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
dzhngSkillclose-spec
When a spec under specs/<feature>/ is done shipping (a write-spec build, or any planned task that produced a spec), archive it to specs/done/ and rewrite it from a build-plan into a durable rationale — the why, the principles, the invariants — pointing back to the real code for the how. Use when implementation has landed and the plan no longer matches what shipped, or the user says a feature/spec is finished. Pairs with [write-spec](../write-spec/SKILL.md) (the plan this closes) and [review](../review/SKILL.md) (run before closing).
Also in 5 projects that use this
dzhngSkilldesign-with-images
Explore UI and visual design with image generation, then iterate the real implementation against the user-selected concept. Use when brainstorming visual directions, offering mockup variants, or implementing an approved generated design; do not stop at the mockups or the first code approximation.
Also in 5 projects that use this
LambenthanSkilldaily-arxiv
每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新
Also in 5 projects that use this
LambenthanSkillexp-eval
实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges
Also in 5 projects that use this
- +3 more from dzhng
- +5 more from Lambenthan
Other versions192 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- microsoft/verona★ 3.7k12% same
Wrote their own version · 191
- garrytan/gstack★ 141ksame name
- ansible/ansible★ 71ksame name
- docling-project/docling★ 70ksame name
- traefik/traefik★ 65ksame name
- ClickHouse/ClickHouse★ 51ksame name
- temporalio/temporal★ 24ksame name
- tisfeng/Easydict★ 15ksame name
- juicedata/juicefs★ 15ksame name
- elie222/inbox-zero★ 13ksame name
- gitkraken/vscode-gitlens★ 10ksame name
181 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository28 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .github/copilot-instructions.mdCopilot instructions
- architecturalSkill
- artifact-readingSkill
- auditSkill
- civilSkill
- compareSkill
- design-alternativesSkill
- electricalSkill
- eli5Skill
- engineering-researchSkill
- evidence-rankingSkill
- fmea-brainstormSkill
- gap-analysisSkill
- habitSkill
- hypothesis-generationSkill
- mechanicalSkill
- peer-reviewSkill
- proposalSkill
- research-to-postSkill
- scholarly-researchSkill
- simplified-technical-englishSkill
- softwareSkill
- standards-lookupSkill
- summarizeSkill
- verifierSkill
- vitruvius-helpSkill
- vitruviusSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 157 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 20
Run an adversarial review of an engineering artifact.
- Distinctive: line 26
Before searching, name the question, the artifact/scope (or say it is a literature review), the jurisdiction/edition, and the effort budget …
- Very specific: line 33
Follow the artifact contract: save findings to outputs/<slug>-review.md.
- Distinctive: line 72
Do not praise vaguely. Do not predict "approval" — assess revision risk and evidence quality.
“Common” is measured: kept by at least 6 in 10 of the 157 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
<!-- VITRUVIUS-COMPILED-SKILL:BEGIN v1 sha256=b1e41d2a4017dc0788831c4d53f45f9cf5cc024dade131d9cf0c13f8928c6ae6 -->Engineering Artifact Review
Run an adversarial review of an engineering artifact. This reuses the
engineering-research evidence discipline but the artifact is the subject,
not a question to research.
Input Gate
Before searching, name the question, the artifact/scope (or say it is a
literature review), the jurisdiction/edition, and the effort budget (user-set or
thorough). Ask ONE clarifying question if the ask is too vague, then proceed.
See references/input-gate.md.
Workflow
Follow the artifact contract: save findings to outputs/<slug>-review.md.
- Identify the artifact and its claims — what is it (design, calc set, spec, brief, report), what does it claim, and what standard/code governs it?
- Verify the load-bearing items — for a design: loads, factors, material properties, code sections, sign conventions. For a report: every number, figure, and citation. Check each against the primary source.
- Read the source itself, not a summary of it — a criticism of a claim you
did not open is not a finding; it is
blocked. Name the source and location you actually read beside every criticism, so the reader can re-check it rather than take your word for it. Report a problem you inferred only when it is labelledinferred, and never smooth a missing read into a pass. - Produce a severity-graded review:
- FATAL — unsafe, non-compliant, or unsupported; must fix before use
- MAJOR — likely wrong or a real gap; fix before finalizing
- MINOR — clarity, consistency, polish
Each finding cites the specific section/line/claim it targets. Every
finding must be fully substantiated — a location you read plus evidence
that supports it. An empty tier is a valid result: write
nonerather than padding to a count. Ground severity in the artifact's own claims and stated limitations: a step it never claimed to take is a scope note, not a FATAL. For a FATAL, state the strongest defense and the evidence that rules it out — a FATAL without a refuted defense is a suspicion, not a FATAL.
- Check what was NOT verified — mark
blockedwhere the source could not be read; never let a missing check read as a pass. - Write a revision plan — prioritized, concrete steps per finding.
Output
Save exactly one review to outputs/<slug>-review.md:
- Summary assessment
- Strengths (tied to specific evidence)
- Findings (FATAL / MAJOR / MINOR, each anchored to a section/claim)
- Verification status (
verified/inferred/blockedper load-bearing item, each naming the source and location that was actually read) - Revision plan
Do not praise vaguely. Do not predict "approval" — assess revision risk and evidence quality.
Scope and Boundaries
- This skill produces research — it does NOT produce final designs or construction documents.
- Research-only, not for final engineering sign-off. Licensed engineers must review and approve any design based on this research.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

