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BF xuanhuan-novel-master

玄幻小说创作主编 — 辰东（杨振东）统筹全局。当用户想写玄幻小说、创作玄幻/仙侠故事、需要一个玄幻小说大纲、或任何与玄幻小说创作相关的需求时使用此skill。即使用户只提到「写个玄幻」「来个修真」「仙侠故事」「修炼小说」「帮我写个异界小说」「穿越修真」「玄幻世界」「斗气大陆」「修仙小说」也应主动使用。本skill是主编角色，负责协调子skill完成从大纲到成书的全流程。支持断点续写——用户已有大纲或部分正文时，自动检测并从断点处接着写。

ClawHub Agent Skills author: JiaNanHou v1.0.0 MIT-0 12 files · 1 script body ≈ 906 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: assets/output/[小说名].txt

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: assets/output/[小说名].txt
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
  • 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: 4. 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: assets/output/[小说名].txt

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/output/[小说名].txt
  • 0Tools and files. 1 referenced file(s) missing: assets/output/[小说名].txt
  • 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
  • 100Steps. 40 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 906 tokens
  • 100Running it twice. No mutating operations
  • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

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 220: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 40 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a disclosed Chinese fantasy-novel writing workflow that creates and resumes files in its own workspace, with no evidence of exfiltration, credential access, destructive behavior, or hidden execution.
LLM: benign (high) · VirusTotal: · 16 Jun 2026