SKILLEMALL.ai

AF narrative-builder

叙事建造器——元技能系统的下级领域技能,编排型组合生成器,消费世界建造器(World Builder)和角色建造器(Character Builder)的输出,将"有什么"(世界+角色)编排为"发生什么"(情节+事件)。以管线模型(输入层→结构层→编排层→输出层)驱动,提供情节结构设计、视角选择、节奏与冲突设计、事件编排、场景构建、主题编织、对白与叙述设计、叙事校验等完整叙事构建能力。6域21任务,支持双模式——直接叙事构建(独立创作)和角色驱动编排(消费Character Builder输出)。触发词:叙事建造、叙事生成、故事构建、情节设计、场景编排、叙事结构、故事创作、narrative builder、story construction、情节编排、meta-skill-system。

ClawHub Agent Skills author: 效享科技 v1.0.0 MIT-0 11 files body ≈ 2 388 tokens Open the sourceclawhub.ai analyzed 2 d ago

叙事建造器——元技能系统的下级领域技能,编排型组合生成器,消费世界建造器(World Builder)和角色建造器(Character…

As a process F 35/100 · Will not run — References files that are not bundled: references/exemplars/

ProcedureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/exemplars/
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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: 1. 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 35/100

Will not run. References files that are not bundled: references/exemplars/
  • 0Tools and files. 1 referenced file(s) missing: references/exemplars/
  • 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. 57 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2388 tokens
  • 100Running it twice. No mutating operations
  • low 13 top-level sections: this looks like several domains in one skill

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 350: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This is a text-only story-building skill, but it includes an overbroad instruction that tells the agent not to refuse skill-content modifications, so users should review it before installing.
LLM: suspicious (high) · VirusTotal: · 12 Jul 2026