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BC bmap-jsapi-three

使用 MapV-Three 构建专业的 3D 地图和 GIS 应用 - 基于 Z-up 坐标系的 3D 地图库，支持地图编辑、测量工具、要素绘制、数据管理等地理可视化功能。适用于创建地图编辑器、测量工具、空间数据可视化等 Web-GIS 应用。

modbender/skill-library-mcp Agent Skills author: modbender MIT 44 files body ≈ 782 tokens Open the sourcegithub.com↗ analyzed 2 d ago

使用 MapV-Three 构建专业的 3D 地图和 GIS 应用 - 基于 Z-up 坐标系的 3D 地图库，支持地图编辑、测量工具、要素绘制、数据管理等地理可视化功能。适用于创建地图编辑器、测量工具、空间数据可视化等 Web-GIS 应用。

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

ProcedureData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
73
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token reference/3dtiles-loading.md:44
    High-entropy token-like string (may be an id, hash or a credential)
    | `materialManager` | Defa…ger | 材质管理器（见下方"材质管理器"章节） |
  • low Secrets in code secret-high-entropy-token reference/3dtiles-loading.md:307
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | `Defa…ger` | 基类，提供材质增删改查和分组管理 |
    table
  • low Secrets in code secret-high-entropy-token reference/3dtiles-loading.md:308
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | `Real…ger` | 写实风格，内置道路/隔离带/绿化/建筑/水体材质，支持天气和昼夜光照自动切换 |
    table
  • low Secrets in code secret-high-entropy-token reference/3dtiles-loading.md:309
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | `Buil…ger` | 建筑专用，按纹理 key 自动加载建筑贴图，支持昼夜光照 |
    table
  • low Secrets in code secret-high-entropy-token reference/3dtiles-loading.md:310
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | `Cust…ger` | 自定义风格，内置道路/绿化/建筑/水体材质 |
    table

Files scanned: 44. 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. 52 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 782 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 122: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 52 items
  • +4Reference files are cited in the instructions (35 of 35)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.