SKILLEMALL.ai

BD prd

产品经理专用的 PRD(产品需求文档)生成、优化与扩展工具。用于从自然语言描述创建结构化 PRD、对现有 PRD 进行澄清式审阅以补全模糊点、或向已有 PRD 追加新功能。当用户提到"写 PRD""生成产品需求文档""需求文档""优化/澄清 PRD""review PRD""给 PRD 加功能""PRD 新增需求"时使用此技能。

ClawHub Agent Skills author: Austin v0.1.0 MIT-0 2 files body ≈ 1 943 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
41/100
Unfinished process
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: 2. 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 41/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (prd) differs from the folder (pm-prd)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 128 steps
  • 100Execution cost. Instruction body is 1943 tokens
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (3 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 165: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 128 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This is a PRD-writing assistant that creates or updates local Markdown PRD files, with no hidden code, network use, credentials, or install-time behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026