SKILLEMALL.ai

BC dev-expert

编程专家综合技能套件,含17个子技能:软件项目总控、网站项目总控、API设计、Bug诊断、代码生成、代码审查、重构建议、测试用例生成、技术选型、文档生成、任务拆解与执行、Spec驱动开发、Karpathy编码规范、项目记忆管理、CMS二次开发、前端设计、MySQL数据库。按用户输入关键词路由到对应子技能模板执行。 关键词路由:软件项目总控(软件项目/API服务/后端服务/后台模块/CLI工具/数据脚本/自动化任务/插件项目/完整功能/项目交付/部署/发布/上线/回滚/运维/监控/告警/巡检);网站项目总控(做网站/建站/企业官网/营销页/CMS网站/网站上线/网站交付);API设计(RESTful/GraphQL/接口规范/AJAX防卡死/Init-Step-Poll/长任务接口/轮询接口);Bug诊断(debug/异常堆栈/报错);代码生成(写代码/实现功能);代码审查(code review/安全漏洞/代码缺陷);重构建议(重构/坏味道/代码异味/可维护性);测试用例生成(单元测试/集成测试/安全测试/性能测试/长任务测试);技术选型(技术栈/框架选型);文档生成(API文档/README/技术文档/部署说明/回滚说明/运维文档);任务拆解与执行(任务分解/Wave执行);Spec驱动开发(spec/需求对齐/需求规格);Karpathy编码规范(Karpathy/编码哲学/简洁优先);项目记忆管理(项目记忆/跨会话/上下文沉淀);CMS二次开发(CMS/帝国CMS/WordPress/ThinkPHP/PHP8兼容/二次开发/插件开发/模板开发/批量任务/导入导出/生成静态页);前端设计(UI设计/UX/交互设计/响应式/设计系统/可访问性/页面视觉/浏览器验证/品牌设计/Banner/图标/社媒图/进度条/轮询状态);MySQL数据库(MySQL/数据库设计/SQL/索引/事务/慢查询/EXPLAIN/DDL/迁移/表结构/SQL优化)。

ClawHub Agent Skills author: ebandao v0.1.0 MIT-0 21 files body ≈ 3 514 tokens Open the sourceclawhub.ai analyzed 2 d ago

编程专家综合技能套件,含17个子技能:软件项目总控、网站项目总控、API设计、Bug诊断、代码生成、代码审查、重构建议、测试用例生成、技术选型、文档生成、任务拆解与执行、Spec驱动开发、Karpathy编码规范、项目记忆管理、CMS二次开发、前端设计、MySQL数据库。按用户输入关键词路由到对应子技能模板执行。…

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

IntegrationMySQLWordPressSoftware developmentDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
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: 20. 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. 38 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3514 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

  • +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 837: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (17 of 17)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill is a coherent developer-assistant package, but it needs Review because it can persist or externally publish sensitive project details without clear opt-in, destination, or redaction rules.
LLM: suspicious (high) · 15 Aug 2026