AC agent-requirement-analyzer
分析 AI 智能体平台的需求文档，提取测试需求、功能点、交互场景、边界条件。专注智能体创建、配置、发布、调用全生命周期。 Use when: 用户说"分析需求"、"需求解析"、"智能体需求分析"、"PRD 分析"。 NOT for: 生成测试用例（用 agent-testcase-generator）、生成测试方案（用 agent-testplan-generator）。
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 57/100
- 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
- 50When it triggers. No condition that starts the skill
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 955 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
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +4Description says when NOT to use the skill
- +3Description length 187: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.
External checks
ClawHub: suspicious
This skill is an instruction-only requirements analyzer, but it can create or update Feishu documents in a fixed workspace without clear user confirmation safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026