SKILLEMALL.ai

AD novel-craft

长篇小说(网文/连载)全流程创作引擎,核心解决三大痛点: 1. 超长上下文逻辑一致性——设定矛盾、伏笔遗忘、时间线错乱 2. 大纲修改涟漪传播——改一处自动识别受影响章节并全自动重写 3. 持续连载支持——跨session断点续写,上下文从文件恢复 核心模块: - 大纲管理器:卷→章→节→场景四级大纲,版本追踪 - 设定档案库:世界观/人物/势力/物品/能力体系,引用追踪+一致性校验 - 伏笔管理器:埋设→回收全生命周期,自动识别+遗忘提醒 - 时间线引擎:事件轴+角色轨迹双维追踪,冲突自动检测 - 涟漪引擎:修改→依赖图BFS→影响报告→全自动级联重写(最大深度3层) - 章节生成器:分层摘要+精准检索组装LLM上下文,生成与设定100%一致的正文 适用场景: - "我要写一本网文"(新建项目) - "修改了大纲第2卷主线"(涟漪修改) - "继续写下一章"(续写) - "检查一下有没有设定矛盾"(一致性扫描)

ClawHub Agent Skills author: gongsunyanming v1.2.0 MIT-0 9 files body ≈ 757 tokens Open the sourceclawhub.ai analyzed 2 d ago

长篇小说(网文/连载)全流程创作引擎,核心解决三大痛点: 1.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWriting and documentsData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
46/100
Unfinished process
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: 9. 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 46/100

  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 33 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 757 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

  • +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
  • +5Description quotes 4 example trigger phrases
  • +3Description length 413: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a disclosed novel-writing workflow skill that can research online and modify local story project files, with no evidence of malware or deceptive behavior.
LLM: benign (high) · VirusTotal: · 4 Jun 2026