SKILLEMALL.ai

BF one-novel-skill

融合级中文小说创作。从零开书到长篇日更,四层反AI防护,12套L2检测,创作宪法/澄清决策/时间线校验,多视角对抗式审查。你说'帮我写个小说',剩下的我来做。零配置自适应LLM,支持Ollama任意模型/OpenClaw/DeepSeek/OpenAI/Claude/Gemini/通义千问/智谱/月之暗面/百川/自定义端点,安装即用。

ClawHub Agent Skills author: xincen0725 v1.0.0 MIT-0 80 files body ≈ 2 439 tokens Open the sourceclawhub.ai analyzed 2 d ago

融合级中文小说创作。从零开书到长篇日更,四层反AI防护,12套L2检测,创作宪法/澄清决策/时间线校验,多视角对抗式审查。你说'帮我写个小说',剩下的我来做。零配置自适应LLM,支持Ollama任意模型/OpenClaw/DeepSeek/OpenAI/Claude/Gemini/通义千问/智谱/月之暗面/百川/自定…

As a process F 40/100 · Will not run — References files that are not bundled: references/original/genre-opening-templates.md, references/original/hook-density-model.md, references/original/face-slapping-rhythm.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
53
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: references/original/genre-opening-templates.md, references/original/hook-density-model.md, references/original/face-slapping-rhythm.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 80. 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")
  • warning missing-ref reference to a missing file: references/original/genre-opening-templates.md
  • warning missing-ref reference to a missing file: references/original/hook-density-model.md
  • warning missing-ref reference to a missing file: references/original/face-slapping-rhythm.md

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: references/original/genre-opening-templates.md, references/original/hook-density-model.md, references/original/face-slapping-rhythm.md
  • 0Tools and files. 3 referenced file(s) missing: references/original/genre-opening-templates.md, references/original/hook-density-model.md, references/original/face-slapping-rhythm.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 127 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2439 tokens
  • 100Running it twice. No mutating operations
  • low 16 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
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • -33 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 168: enough signal without eating the budget
  • +4Structure: 50 headings
  • +3Step-by-step instructions: 127 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.

External checks

ClawHub: clean
This is a disclosed novel-writing automation skill whose main risks are expected project file changes and optional use of configured LLM providers.
LLM: benign (high) · VirusTotal: · 9 Jul 2026