SKILLEMALL.ai

CD pipeline-architecture

採用 Pipeline Architecture(先宣告意圖、後統一執行)的專案,其業務邏輯讀寫流程的結構規範。支援 Python/FastAPI、TypeScript/Node.js 與 Flutter/Dart 三種實作,並提供 Payload CMS 與 Cloudflare Workers 的專屬補充。當專案已採用此架構、且任務涉及業務邏輯流程時使用,包含:新增 API endpoint、設計資料寫入流程、實作權限檢查、多步驟資料處理、跨系統寫入(DB、外部 API、裝置變數)、審計日誌,或任何「先決策後執行」的 workflow。在 Flutter 專案中同樣適用於使用者觸發的業務寫入流程:UseCase、ViewModel 的 Command、本地資料庫寫入、呼叫後端 API、離線寫入與 outbox 同步。看到 pipeline、step、query、mutation、scratch、persistence、StepCommit、StepStop、DataMutation、run_workflow、make_pipeline、runWorkflow、makePipeline、outbox、離線同步 等本架構專有名詞,或要在既有 pipeline 專案中修改業務邏輯時,讀取此 Skill 並依專案語言載入對應的 references 檔案;專案若以 Payload CMS 為基底(存在 payload.config.ts、collections/、custom endpoints、collection hooks),額外載入 references/payload-cms.md;專案若部署在 Cloudflare Workers(存在 wrangler.toml 或 wrangler.jsonc),額外載入 references/cloudflare-workers.md,在 Cloudflare 上規劃採用本架構而要決定資料庫(Hyperdrive、D1、Durable Objects)時也要讀取;專案若是 Flutter(存在 pubspec.yaml 且依賴 flutter),載入 references/flutter.md。不適用於一次性腳本、prototype、資料分析、Widget 與純顯示邏輯,或專案尚未採用此架構的情況;使用者明確指示其他做法時,以使用者指示為準。

ClawHub Agent Skills author: Jive v1.0.4 MIT-0 6 files body ≈ 5 662 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

採用 Pipeline Architecture(先宣告意圖、後統一執行)的專案,其業務邏輯讀寫流程的結構規範。支援 Python/FastAPI、TypeScript/Node.js 與 Flutter/Dart 三種實作,並提供 Payload CMS 與 Cloudflare Workers…

As a process D 38/100 · Unfinished process — References files that are not bundled: references/flutter.md

ProcedureCloudflarePostgreSQLInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
D
38/100
Unfinished process
References files that are not bundled: references/flutter.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5662 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/flutter.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/flutter.md
  • 0Tools and files. 1 referenced file(s) missing: references/flutter.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 24 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 5662 tokens
  • 100Steps. 83 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 15 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1012: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -285 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 83 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: clean
This is a documentation-only architecture skill with high-impact implementation guidance, but its database, external API, file, and authorization guidance is explicit and purpose-aligned.
LLM: benign (high) · VirusTotal: · 24 Sept 2026