adversarial-design-review
Skill11 starsChanged 50 days agoApache-2.0View on GitHub
Takes an adversarial stance against a design document''s decisions, trade-offs, and architectural choices, classifying findings as CRITICAL/IMPORTANT/MINOR. Operates on design doc sections — not code diffs. Trigger phrases: "adversarial design review", "challenge my design", "devil''s advocate on design doc", "review design decisions".
1 other project uses a version of this.
Adopted by
Most recently taken up by
- ashleysbrain/skillstheir own version, first seen Nov 8, 2026
Other versions1 project uses a version of this.
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Wrote their own version · 1
- ashleysbrain/skills★ 1same name
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 repository83 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- about-konductorSkill
- adr-generatorSkill
- adversarial-code-review-pass-integritySkill
- adversarial-code-review-pass-schemaSkill
- adversarial-code-review-pass-securitySkill
- adversarial-code-reviewSkill
- agents-md-authoringSkill
- app-discoverySkill
- architecture-advisorSkill
- architecture-diagram-generationSkill
- argumentation-referenceSkill
- asana-sprint-planningSkill
- asdlc-aspect-reviewSkill
- asdlc-code-simplifierSkill
- aws-service-validatorSkill
- backend-developmentSkill
- backend-reviewSkill
- claude-teams-behaviorSkill
- cmux-dispatchSkill
- code-reviewSkill
- constraintsSkill
- cost-estimationSkill
- cypress-test-implementationSkill
- decision-researchSkill
- decision-writingSkill
- delegation-protocolSkill
- deliberation-panelSkill
- design-doc-guidelinesSkill
- design-evaluationSkill
- design-impact-reviewSkill
- design-quality-checkSkill
- doc-accuracy-analyzerSkill
- document-formatsSkill
- dom-inspectionSkill
- dynamodb-designSkill
- dynamodb-validationSkill
- e2e-test-strategySkill
- external-researchSkill
- find-aws-skillsSkill
- frontend-developmentSkill
- frontend-reviewSkill
- git-mergeSkill
- git-workflowSkill
- historical-issues-registrySkill
- humanize-writingSkill
- iam-policy-designSkill
- infra-validationSkill
- kiro-design-generationSkill
- kiro-requirements-generationSkill
- kiro-task-generationSkill
- legacy-to-agentic-estimateSkill
- mux-dispatchSkill
- non-functional-requirementsSkill
- persistent-memorySkill
- plan-reviewSkill
- playwright-test-implementationSkill
- policy-validationSkill
- pre-planning-analysisSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
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 14
Use argumentation-reference skill during this review to identify logical fallacies in decision justifications.
- Very specific: line 100
If the user opts in, proceed to Step 3 with consent_confirmed=true.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Adversarial Design Review
Overview
Takes an adversarial stance against every major design decision, trade-off, and architectural choice in a design document. Unlike adversarial-code-review (which operates on code diffs), this skill operates on design doc sections.
Use argumentation-reference skill during this review to identify logical fallacies in decision justifications.
When to Use
k-design-doc-creation.sop.mdPhase 4 (adversarial review loop)k-principal-engineer-design-review.sop.mdStep 3 (adversarial review loop)- Engineer explicitly requests adversarial review of a design doc
Core Concepts
Classification
CRITICAL — architectural:
- Wrong architecture choice for the stated requirements (e.g., synchronous design for a stated async requirement)
- Missing security boundary (no auth, no encryption at rest/transit where PII is involved)
- Fundamental scalability flaw (design cannot meet stated NFRs at stated load)
- Single point of failure with no stated mitigation
CRITICAL — factual:
- Incorrect technical claim about a service or technology (e.g., wrong service limit, nonexistent feature)
- Contradictory requirements (two requirements that cannot both be satisfied)
IMPORTANT:
- Weak or missing justification for a significant decision (no alternatives considered, no trade-off)
- Missing alternative in a decision that has obvious alternatives
- Incomplete trade-off (dimensions missing: cost, latency, complexity, scalability, operability)
- Logical fallacy in a decision justification (use
argumentation-referenceto identify) - Unstated assumption that materially affects the design
MINOR:
- Style or clarity issue in a decision section
- Minor omission (e.g., missing consequence in an ADR)
- Weak rebuttal acknowledgment
Fallacy Checking
For each decision justification, load argumentation-reference and check:
- Is the warrant explicit? (Does the evidence actually support the claim?)
- Is there a false dichotomy? (Are only two options presented when more exist?)
- Is there circular reasoning? (Does the justification restate the claim?)
- Is there an appeal to authority without evidence?
Flag any identified fallacy as IMPORTANT with the fallacy name and the affected section.
Review Checklist
Architecture Choices
- Each major choice has at least two alternatives considered
- The chosen option is justified against stated requirements (not just preference)
- Security boundaries are explicit (auth, encryption, network isolation)
- Scalability path is stated for 10× current load
Trade-offs
- Each decision includes a trade-off across ≥3 dimensions
- Cost implications are addressed
- Operational complexity is addressed
Assumptions
- All load/traffic assumptions are stated and sourced
- All external dependency assumptions are stated
- Failure modes are identified for each external dependency
Logical Soundness
- No circular reasoning in justifications
- No false dichotomies in option selection
- No unsupported quantitative claims
Steps
- Parse sections — Identify all design decision sections, ADRs, trade-off tables, and architecture choice paragraphs.
Deliberation Panel Confirmation Gate — Before invoking the panel, present the cost estimate and obtain explicit user opt-in. Per the
deliberation-panelskill's consent contract, the caller (this skill) is responsible for settingconsent_confirmedexplicitly — the panel will not infer consent on its own.Panel-enhanced adversarial review is available for this document: axes derived from this document's own decisions and tradeoffs each challenge every parsed decision in adversarial stance, followed by an anonymous cross-examination round and an arbiter synthesis. Cost: roughly 2–3 minutes, scaling with the number of derived axes (typically 3–6).
- Convene the deliberation panel (recommended for high-stakes designs)
- Proceed without the panel — apply the Classification and Fallacy Checking sections above directly, single-voice
- If the user opts in, proceed to Step 3 with
consent_confirmed=true. - If the user declines or gives no confirmation, skip the panel entirely: apply the Classification and Fallacy Checking sections (above) directly to each decision from Step 1 — evaluate each justification against the Toulmin model, flag fallacies via
argumentation-reference, and classify findings directly using the Classification table (CRITICAL architectural/factual, IMPORTANT, MINOR). Then skip to Step 6 (Architecture stress test).
Adversarial Panel — Axis-Derived Challenge (panel path only, per Step 2) — Invoke the
deliberation-panelskill withdecision_domain=design, stance=adversarial, consent_confirmed=true. Pass the parsed design decisions and tradeoffs as the subject. The panel derives 3–6 axes specific to this document's decisions (Phase 0), then runs the adversarial challenge per axis (Phase 1 — each axis argues why the currently-favored option fails on that axis), the anonymous cross-examination round (Phase 2), and the arbiter synthesis (Phase 3).Each axis applies the Toulmin model (claim → data → warrant); the
argumentation-referenceskill is available to identify fallacies in decision justifications within each axis's analysis.- Anonymous Cross-Examination (panel path only) — Handled internally by the
deliberation-panelskill's Phase 2. Each axis-advocate reviews every other axis's challenges for logical soundness and blind spots without knowing which axis produced each finding, and must produce a weakness-or-corroboration pair per argument reviewed. Arbiter Mapping (panel path only) — Map the panel's axis-weighted confidence output to the severity classification below.
Confidence is the
deliberation-panelskill's own Axis-Weighted Convergence output (stance=adversarial) — this skill does not define a separate scale, only reinterprets what convergence means in the adversarial stance: "the same option" that axes converge on is agreement that the currently-favored option fails. Seedeliberation-panel's Axis-Weighted Convergence table for the HIGH/MEDIUM/LOW thresholds themselves.Severity mapping (panel path only — the single-voice path classifies via the Classification table in Step 2, not this mapping):
- HIGH-confidence architectural flaw → CRITICAL (architectural)
- HIGH-confidence factual claim error → CRITICAL (factual)
- MEDIUM-confidence architectural or factual flaw → IMPORTANT (not yet corroborated enough for CRITICAL, but too load-bearing to leave unclassified)
- HIGH or MEDIUM-confidence justification gap or logical fallacy → IMPORTANT
- LOW-confidence or stylistic observation → MINOR
- Architecture stress test — For the overall design:
- Does it meet every stated NFR at stated load?
- Are all security boundaries present?
- Is there a single point of failure without mitigation?
Output findings — For each finding:
[SEVERITY] Section — {heading} Challenge: {the adversarial challenge} Axis/axes: {which derived axis/axes surfaced this — or "single-voice" if the panel was declined in Step 2} Confidence: HIGH | MEDIUM | LOW — corroboration strength, not a severity gate (single-voice: MEDIUM for a clear Toulmin warrant, LOW for a weak/speculative warrant — HIGH requires multi-axis corroboration and is unavailable when the panel is declined) Rebuttal needed: {what the author must address} Fallacy (if any): {fallacy name from argumentation-reference}- Summary — Report: N CRITICAL (architectural), N CRITICAL (factual), N IMPORTANT, N MINOR. Include axis attribution for all CRITICAL findings (or note "single-voice review — panel declined" if applicable).
Quality Gate
CRITICAL findings require immediate resolution — the document does not advance to PE review with any CRITICAL finding present.
Exit condition for pe-review loop: 0 CRITICAL + 0 IMPORTANT + fewer than 3 MINOR findings.
Present findings as: CRITICAL (architectural) → CRITICAL (factual) → IMPORTANT → MINOR.
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