SKILLEMALL.ai

BC code-dev-toolkit

面向团队与企业的高级代码开发工作流工具,在免费版基础上扩展多任务编排、团队规范、质量门禁等能力。核心能力: - 多任务并行编排与依赖管理 - 团队编码规范与质量门禁 - 代码审查工作流与审计追踪 - CI/CD 集成与交付流水线 - 多环境配置与发布管理 适用场景: - 企业级多功能并行开发 - 团队协作与代码审查 - 持续集成与持续交付 差异化: - 兼容免费版全部能力,无缝升级 - 支持多任务编排与质量门禁 - 提供团队规范与审计追踪 - 优先技术支持与更新通道

ClawHub Agent Skills author: 天轰穿 v1.0.1 MIT-0 2 files body ≈ 2 280 tokens Open the sourceclawhub.ai analyzed 2 d ago

面向团队与企业的高级代码开发工作流工具,在免费版基础上扩展多任务编排、团队规范、质量门禁等能力。核心能力: - 多任务并行编排与依赖管理 - 团队编码规范与质量门禁 - 代码审查工作流与审计追踪 - CI/CD 集成与交付流水线 - 多环境配置与发布管理 适用场景: - 企业级多功能并行开发 - 团队协作与代码审查…

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

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
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: 0. 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")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "edition"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "suggested_price"
  • note frontmatter-key unknown frontmatter key "pricing_tier"
  • note frontmatter-key unknown frontmatter key "pricing_model"

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. Tools declared in frontmatter
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2280 tokens
  • 100Running it twice. No mutating operations
  • low 11 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
  • +2Single-language instructions
  • +3Description length 237: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (19 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
This code workflow skill is mostly coherent, but it asks for command execution and describes CI/CD release and webhook-token use without enough scoping or confirmation safeguards.
LLM: suspicious (medium) · VirusTotal: · 24 Jul 2026