SKILLEMALL.ai

BC novel-free

中文长篇小说多智能体创作技能(v1.0.1)。支持从零开始新建长篇小说项目,完成世界观/角色/大纲/章节写作、自动推进与读者反馈的完整流程。内置固定层压缩、fixed-context.md强制缓存、摘要+OOC合并触发三项核心优化,新增用户体验优化和自动化工具,显著降低token消耗与操作复杂度。适用场景:新建长篇小说、续写/批量推进章节、自动推进、重写/维护迭代。不适用于短篇(<1万字)、诗歌、散文、翻译或非小说写作。

ClawHub Agent Skills author: 咲鹏 v1.0.3 MIT-0 59 files · 7 scripts body ≈ 978 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
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: 59. 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. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 978 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)
  • +3Output format is not stated: the model decides each time
  • -31 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 212: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (10 of 28)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This is a disclosed Chinese long-form novel writing skill that creates and manages local writing project files, with no evidence of hidden network access, exfiltration, or destructive behavior outside its stated purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026