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AC novel-writing-sop

中文网文/爽文全流程写作引擎：一句话开写、选题、大纲、分章正文、续写、卡文破解、去AI味、双视角质检。支持番茄/起点/晋江/七猫向长篇量产。适用场景：写小说、写网文、写爽文、小说大纲、续写小说、去AI腔、分章写作、长篇连载。Trigger phrases: 写小说 / 网文 / 爽文 / 大纲 / 续写 / 卡文 / 去AI味 / 分章 / 长篇连载; English: web novel / Chinese fiction / chapter batch writing / anti-AI-slop.

ClawHub Agent Skills author: xcya01 v1.1.1 MIT-0 22 files body ≈ 860 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

中文网文/爽文全流程写作引擎：一句话开写、选题、大纲、分章正文、续写、卡文破解、去AI味、双视角质检。支持番茄/起点/晋江/七猫向长篇量产。适用场景：写小说、写网文、写爽文、小说大纲、续写小说、去AI腔、分章写作、长篇连载。Trigger phrases: 写小说 / 网文 / 爽文 / 大纲 / 续写 / 卡文…

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

GeneratorAI and agentstype 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
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
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

    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: 22. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    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. 32 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 860 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 254: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 32 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (7 of 7)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    This is mostly a local novel-writing workflow, but it should be reviewed carefully because it explicitly steers AI-detection evasion, strict author-style imitation, and broad auto-activation.
    LLM: suspicious (high) · VirusTotal: · 14 Aug 2026