SKILLEMALL.ai

AC gdd-cn

中文游戏系统策划案(GDD)编写。按国内研发流程逐节推进:先对齐定位与竞品,再写规则、公式、配置表结构、边界、依赖、数值可调项、验收标准。数值优先落配置表,落笔前过一遍专家视角自检。触发词:写策划案、做系统策划案、GDD、系统拆解、配置表设计。

ClawHub Claude Code author: sharinchan233 v1.0.0 MIT-0 6 files body ≈ 1 027 tokens Open the sourceclawhub.ai analyzed 3 d ago

中文游戏系统策划案(GDD)编写。按国内研发流程逐节推进:先对齐定位与竞品,再写规则、公式、配置表结构、边界、依赖、数值可调项、验收标准。数值优先落配置表,落笔前过一遍专家视角自检。触发词:写策划案、做系统策划案、GDD、系统拆解、配置表设计。

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

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
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: 6. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

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. Tools declared in frontmatter
  • 100Steps. 32 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1027 tokens
  • 100Running it twice. No mutating operations
  • low 12 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 122: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 32 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed Chinese GDD-writing workflow that reads project design context and writes documentation only after user confirmation.
LLM: benign (high) · VirusTotal: · 31 Aug 2026