SKILLEMALL.ai

BC patent-doc-gen

根据技术论文撰写中国专利技术交底书,用户需要提供技术论文或资料,以及至少一篇同领域的专利作为参考。关键词:专利申请、专利交底书、技术交底书、专利草稿。

ClawHub Agent Skills author: auto-Dog v1.0.1 MIT-0 3 files body ≈ 349 tokens Open the sourceclawhub.ai analyzed 2 d ago

根据技术论文撰写中国专利技术交底书,用户需要提供技术论文或资料,以及至少一篇同领域的专利作为参考。关键词:专利申请、专利交底书、技术交底书、专利草稿。

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

Proceduretype 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
C
62/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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: 3. 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 62/100

  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 349 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 75: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 12 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

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

External checks

ClawHub: clean
This skill is a coherent patent-disclosure drafting helper that reads user-supplied technical materials and writes local Markdown drafts without hidden execution or data access.
LLM: benign (high) · VirusTotal: · 28 May 2026