SKILLEMALL.ai

AC novel-writing

Assists with writing novels, serialized fiction, and long-form fiction — building a story bible, designing outlines with foreshadowing, generating chapters with pacing/consistency checklists, catching character or plot drift, recovering from writer's block, polishing prose to remove "AI-flavored" writing, and scoring/reviewing chapter quality. Trigger this skill whenever the user wants to write a novel/story/chapter, asks to "continue my novel", "write the next chapter", design a story outline, character sheet, or foreshadowing tracker, says they're stuck/blocked on what happens next, wants to polish/rewrite a draft, wants a quality review or score for a chapter, or mentions 写小说、写故事、网文、续写、下一章、故事大纲、故事圣经、人物设定、伏笔、卡文、润色、精修、去AI味、改写、评审、打分 or similar phrases — even if they don't use the word "skill" explicitly.

ClawHub Agent Skills author: AITOIM v1.3.0 MIT-0 6 files body ≈ 1 099 tokens Open the sourceclawhub.ai analyzed 2 d ago

Assists with writing novels, serialized fiction, and long-form fiction — building a story bible, designing outlines with foreshadowing, generating chapters…

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
58/100
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: 0. 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 58/100

    • 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
    • 40Consistency. Frontmatter name (novel-writing) differs from the folder (flowdream-novel-writing)
    • 100Tools and files. No external tools needed
    • 100Steps. 34 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 1099 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

    • +3Description length 815: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 34 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This is a plain markdown fiction-writing skill with purpose-aligned local story files and no evidence of hidden commands, credential access, or data exfiltration.
    LLM: benign (high) · VirusTotal: · 9 Jul 2026