SKILLEMALL.ai

BC danuzhu-novel-master

大女主小说创作主编。仅在用户明确表达「我要写/创作/帮我写一部大女主小说」的创作意图时触发。触发条件:用户消息中需同时包含(1)创作动词(我要写、帮我写、创作、帮我编、写一本、编一部等)+(2)女性向/大女主相关词(大女主、女频、宫斗、宅斗、女强、重生复仇等)。纯讨论/评价/引用不触发。避免因消息中偶然包含「大女主」「宫斗」「女强」等词汇而误触发。本skill是主编角色,负责协调子skill完成从大纲到成品的小说全流程。默认短篇,用户指定篇幅则按用户来。支持断点续写。

ClawHub Agent Skills author: JiaNanHou v1.1.0 MIT-0 53 files body ≈ 1 837 tokens Open the sourceclawhub.ai analyzed 3 d ago

大女主小说创作主编。仅在用户明确表达「我要写/创作/帮我写一部大女主小说」的创作意图时触发。触发条件:用户消息中需同时包含(1)创作动词(我要写、帮我写、创作、帮我编、写一本、编一部等)+(2)女性向/大女主相关词(大女主、女频、宫斗、宅斗、女强、重生复仇等)。纯讨论/评价/引用不触发。避免因消息中偶然包含「大女主」…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 42. 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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 72 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1837 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 236: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 72 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This is a disclosed creative-writing workflow that creates and formats local novel files, with no hidden code execution, credential access, or data export found.
LLM: benign (high) · VirusTotal: · 3 Aug 2026