SKILLEMALL.ai

AC dev-workflow

结构化开发工作流,强制执行 Plan → Implement → Review 流程。 触发条件: (1) 用户输入 KAIFA## 命令 (2) 自然语言包含开发类关键词:"开发"+"SKILL/APP/应用/系统/模块/功能/工具"、"实现"+"功能/模块"、"写"+"模块/系统/服务"、"重构"、"新建"+"项目/模块" (3) 不确定时反问用户确认 不触发:简单单文件修改、配置更新、查询类请求、小bug修复 支持多角色子 agent 协作(Architect/Developer/Reviewer),自动按复杂度分配模型(pro=深度推理,flash=确定性执行),产出的 Plan 和 Review 归档到 plans/ 目录。

ClawHub Agent Skills author: A.H89 v1.0.0 MIT-0 6 files body ≈ 1 359 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype 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
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 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")

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (dev-workflow) differs from the folder (kaifaskillfz01)
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 45 steps
  • 100Execution cost. Instruction body is 1359 tokens
  • 100Running it twice. No mutating operations
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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 2 example trigger phrases
  • +3Description length 321: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)

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

External checks

ClawHub: clean
This is a transparent development-workflow skill that plans, implements after approval, reviews, and saves workflow notes, with no hidden executable code or malicious behavior found.
LLM: benign (high) · VirusTotal: · 28 May 2026