AD requirement-document-generator
客户需求智能整理与文档生成专家。从沟通记录（飞书文档、妙记、会议纪要等）中提取、分析并整理成结构化的需求文档，自动生成飞书文档。触发场景：(1) 用户需要整理客户需求文档 (2) 需要将会议纪要转换为需求文档 (3) 需要从沟通记录提取关键需求 (4) 需要生成项目需求说明书 (5) 需要创建业务需求文档 (BRD) 或产品需求文档 (PRD)
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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: 11. 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 49/100
- 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
- 40Consistency. Frontmatter name (requirement-document-generator) differs from the folder (feishu-requirement-document-generator)
- 100Tools and files. No external tools needed
- 100Steps. 114 steps
- 100Execution cost. Instruction body is 1250 tokens
- 100Running it twice. No mutating operations
- low 10 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 173: enough signal without eating the budget
- +4Structure: 54 headings
- +3Step-by-step instructions: 114 items
- +4Has examples (21 code blocks)
- +4Reference files are cited in the instructions (9 of 9)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
This skill’s Feishu document reading and document creation behavior matches its stated purpose, but users should review sensitive content and sharing permissions before use.
LLM: benign (high) · VirusTotal: · 29 May 2026