BF project-analyzer
SDD 软件设计文档生成器 - 基于 Harness Engineering 模式构建受控环境。 核心理念：通过架构约束、上下文工程、反馈循环、熵管理，让 AI 在约束下高效可靠地生成文档。 使用场景：(1) 新项目接入时生成 SDD 文档 (2) 生成开发规范 (3) 分析数据库结构 (4) 对接 Apifox 自动测试。 支持技术栈：Java/Spring Boot、Node.js、Python、Go、React/Vue 前端项目。
As a process F 28/100 · Will not run — weak spots: steps, result and completion, when it triggers
AnalyzerSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- 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: 23. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 28/100
- 0Steps. Prose only: no discrete steps
- 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
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2970 tokens
- low The response is described with custom markup (4 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- -223 emoji in the instructions: noise for the model
- -310 of 10 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 220: enough signal without eating the budget
- +4Structure: 24 headings
- +4Has examples (20 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: clean
This skill is a project documentation generator that reads a chosen codebase and writes local SDD/API/database docs; its Apifox mention needs user caution but is disclosed and purpose-aligned.
LLM: benign (high) · VirusTotal: · 29 May 2026