SKILLEMALL.ai

AC spec-flow

轻量级 SDD(规范驱动开发)文档流水线。当用户描述一个新功能、产品想法或改进需求, 希望在动手写代码前先把"做什么/为什么/怎么做/拆成哪些任务"梳理清楚时使用。 自动完成 constitution → spec → plan → tasks 全流程,产出对齐 GitHub spec-kit 的 .specify/ 目录。 触发:"我想加一个 XX 功能""帮我规划/设计 XX""这个需求先出个开发文档"。 不触发:纯代码实现、bug 修复、已有 spec 的局部修改、多智能体编排(那属于完整版 Harness 场景)。

ClawHub Agent Skills author: denghuayuan v1.0.0 MIT-0 7 files body ≈ 606 tokens Open the sourceclawhub.ai analyzed 20 h ago

轻量级 SDD(规范驱动开发)文档流水线。当用户描述一个新功能、产品想法或改进需求, 希望在动手写代码前先把"做什么/为什么/怎么做/拆成哪些任务"梳理清楚时使用。 自动完成 constitution → spec → plan → tasks 全流程,产出对齐 GitHub spec-kit 的…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 7. 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")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 606 tokens
  • 100Running it twice. No mutating operations

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 264: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a Chinese-language documentation workflow skill that reads project context and writes planning files, with no hidden execution or credential behavior found.
LLM: benign (high) · VirusTotal: · 24 Jul 2026