SKILLEMALL.ai

BC tvs-inksnow-arch

项目架构初始化与重构一体 Skill。何时使用:用户表达"我想重构架构 / 想改成 DDD / 想拆模块 / 想改成单端或多端 / 想拆掉 Redux 或 Pinia / 想初始化项目 .cursor/rules 架构规则 / 让 AI 知道代码该放哪 / 想梳理目录结构 / 项目越来越乱不知道在哪写新代码 / 重新整理分层 / 想定一套架构规范"等架构方向变更类需求时激活。作用:先访谈锁定架构决策(优先调用 tvs-deep-interview skill;不可用时走内置简化协议),产出 docs/architecture-refactor-rfc.md 等用户批准;再扫描项目当前结构并按 RFC 决议生成 .cursor/rules/*.mdc 强制约束,一次完成"想清楚"和"固化下来"两件事。不要在仅做单点 bug 修复、改文案、或对架构无变更的业务功能开发任务中激活。

ClawHub Agent Skills author: inksnowhailong v1.0.0 MIT-0 2 files body ≈ 2 647 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

ReferenceSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
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: 2. 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. 72 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2647 tokens
  • 100Running it twice. No mutating operations
  • low 14 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 393: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 72 items
  • +4Has examples (20 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This markdown-only skill guides an architecture refactor process and can create persistent Cursor rule files, but that behavior is disclosed, gated by user approval, and aligned with its purpose.
LLM: benign (high) · 28 May 2026