BF epic-novel-writer
史诗级长篇网络小说创作skill,包含13阶段写作流程、人物设定、分卷规划、子Agent并行撰写、全文校验、存档管理等完整工作流。覆盖中篇(10-25万字)到超长篇(60-150万字),实测 420,000 字 / 300 章 / 10 卷。支持全局连续编号、只读存档、人物画像 JSON、HTML 导引页生成。
史诗级长篇网络小说创作skill,包含13阶段写作流程、人物设定、分卷规划、子Agent并行撰写、全文校验、存档管理等完整工作流。覆盖中篇(10-25万字)到超长篇(60-150万字),实测 420,000 字 / 300 章 / 10 卷。支持全局连续编号、只读存档、人物画像 JSON、HTML 导引页生成。
As a process F 35/100 · Will not run — References files that are not bundled: references/characters/
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/characters/ - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en" - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: references/characters/
- 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. 20 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 437 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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 156: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 20 items
- +4Reference files are cited in the instructions (7 of 7)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.