SKILLEMALL.ai

AC murder-mystery-creator

剧本杀一键生成工具,支持两种模式: 【模式A】标准生成:输入题材/风格/人数,自动生成完整剧本包 【模式B】自动剖析生成:说出一部作品→自动剖析结构/风格/流程→直接生成成品剧本杀 参考《诡秘之主》(学习结构:克苏鲁信息差叙事+玩家沉浸体验构建)、 《神秘复苏》(学习结构:规则驱动型剧本的节奏把控)、 《凡人修仙传》(学习结构:因果链+利益立场驱动的角色行为逻辑)、 《金陵有座东君书院》(学习结构:情感递进三幕节奏+小剧场演绎设计)、 《荒野大侠客》(学习结构:阵营博弈机制+可变结局流程)、 《明星大侦探/大侦探》(学习结构:动态搜证模式+角色技能系统+线索网状交织设计+童谣杀人模式本土化)等作品。 特别擅长:古风悬疑(青楼/江湖/庙堂场景)、诡秘之主风格剧本、变格规则型剧本。 适用场景: - "帮我做个剧本杀"(模式A,询问需求) - "按《诡秘之主》的风格和结构做一个本"(模式B,自动剖析) - "帮我做个古风悬疑本,6人,本格"(模式A,直接生成) - "分析一下《东君书院》的结构,然后做一个类似节奏的本"(模式B) - "按明星大侦探的动态搜证模式做一个本"(参考《大侦探》设计理念)

ClawHub Agent Skills author: gongsunyanming v1.8.0 MIT-0 14 files body ≈ 3 713 tokens Open the sourceclawhub.ai analyzed 3 d ago

剧本杀一键生成工具,支持两种模式: 【模式A】标准生成:输入题材/风格/人数,自动生成完整剧本包 【模式B】自动剖析生成:说出一部作品→自动剖析结构/风格/流程→直接生成成品剧本杀 参考《诡秘之主》(学习结构:克苏鲁信息差叙事+玩家沉浸体验构建)、 《神秘复苏》(学习结构:规则驱动型剧本的节奏把控)、…

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

ProcedureAI 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
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

  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: 14. 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 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. 60 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3713 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 5 example trigger phrases
  • +3Description length 503: enough signal without eating the budget
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (22 code blocks)
  • +4Reference files are cited in the instructions (10 of 10)

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

External checks

ClawHub: clean
This is a coherent murder-mystery writing skill; the main cautions are mature crime themes, automatic asset creation, and a generated HTML page that loads D3 from a CDN.
LLM: benign (high) · VirusTotal: · 4 Jun 2026