菜单
Platform audit via the `agf` CLI — Web Vitals, a11y, and harness. Run during VALIDATE when the delivery has a UI/platform surface or before a frontend deploy.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Accessibility compliance audit using WCAG 2.2 AA standards, ARIA validation, screen reader testing, keyboard navigation, color contrast analysis, and i18n readiness
Execute the ANALYZE phase of the lifecycle via the `agf` CLI — PRD creation, requirements, Definition of Ready (7 checks), cross-project learning
API governance and design audit using OpenAPI/Swagger spec generation, REST maturity model, contract validation, and breaking change detection
Architecture governance using C4 Model, ADR lifecycle, Architecture Fitness Functions, layer boundary enforcement, and drift detection
Human-in-the-loop PLANNING skill — investigates the project (graph + git + harness/gaps) and runs the whole ANALYZE→DESIGN→PLAN chain in one faceted loop to produce a COMPLETE PRD injected as graph backlog (epics, tasks, testable AC) for a separate agent to implement. Applies the project's planning methodologies — Impact Mapping + OKR per epic, JTBD, MoSCoW, WSJF/Cost-of-Delay, User Story Mapping, Example Mapping (Rules/Examples → Given-When-Then AC), SPIDR splitting, INVEST, Definition of Ready, Risk Matrix; the full catalogue lives in the skill body. Stops for the human after each complete PRD and iterates the next cycle from the project's own findings (dogfood). Does NOT implement. Triggers — graph-backlog-generation, gerar backlog, criar PRD, planejar feature, detalhar épico, novo ciclo, "plan the next thing", "what should we build next".
Automated bug discovery through static analysis, LSP diagnostics, pattern detection, regression hotspot analysis, and error catalog mining
| name | graph-platform |
| description | Platform audit via the `agf` CLI — Web Vitals, a11y, and harness. Run during VALIDATE when the delivery has a UI/platform surface or before a frontend deploy. |
| triggers | ["graph-platform"] |
| version | 2.0.0 |
| author | auto-generated |
| date | "2026-06-16T00:00:00.000Z" |
| category | VALIDATE |
| phase | VALIDATE |
| tokens | ~613 |
| phases | ["VALIDATE","DEPLOY"] |
Platform audit — Web Vitals, a11y, harness. Drive via the agf CLI — zero MCP. Load context with agf context <id> first.
agf harness → agf quality → agf insights phases → agf eval --suite platform
VALIDATE-phase agf commands:
| Command | What it does |
|---|---|
agf harness | Agent-readiness (9 dimensions, A/B/C/D) |
agf quality | Gate 95/95 (tests + logs) |
agf insights phases | Health per lifecycle phase |
agf eval --suite platform | Platform-scenario eval |
agf harness (9 dims: type coverage, test coverage, architecture fitness, docs, naming, error handling, context density, provenance, connectivity)agf quality (95/95: tests + logs over src/)agf insights phasesagf eval --suite platformPhase: PLATFORM (VALIDATE parallel)
Harness: score X (grade Y, ≥B required)
Quality: 95/95 — pass/fail
Web Vitals: LCP Xms, FID Yms, CLS Z
Accessibility: WCAG 2.2 AA — pass/fail
Bundle: size X KB, N+1 queries Y
Platform Eval: N scenarios pass
Status: Platform audit passed
Runs parallel to VALIDATE → REVIEW. After tasks, agf savings / agf metrics --economy-report → agf learning → calibrate next turn.
agf skill show graph-validateagf skill show graph-deployAGENTS.md and use apply_patch for manual edits.Economia de tokens. Os levers compartilhados por todas as skills —
--select,agf retrieve-command,agf exec chain, reuso antes de criação — vivem em_shared.md→ Token Economy. Fonte única: um parágrafo repetido em trinta arquivos é o trigésimo primeiro que envelhece sozinho.