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BF tmap-jsapi-gl

腾讯地图 JavaScript GL（JSAPIGL）开发指南。适用于地图应用或者工具的编写。在编写、审查或调试使用腾讯地图 API的代码时应运用此技能。适用于涉及地图初始化、覆盖物展示、图层控制、事件处理、控件交互、可视化渲染、地图工具、检索、路线规划、查地址、行政区划、ip定位、几何计算、三维模型展示、性能优化的任务。当用户提及 腾讯地图、 jsapi、jsapi-gl或相关地图开发需求时自动触发。

ClawHub Agent Skills author: tencent map v1.0.2 MIT-0 80 files body ≈ 1 133 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 31/100 · Will not run — References files that are not bundled: references/jsapigl/docs/, references/visualization/docs/, references/visualization/demos/

IntegrationSoftware developmenttype 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
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/jsapigl/docs/, references/visualization/docs/, references/visualization/demos/
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.
  2. The text references files that are not there: add them or drop the references.
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: 79. 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")
  • warning missing-ref reference to a missing file: references/jsapigl/docs/
  • warning missing-ref reference to a missing file: references/visualization/docs/
  • warning missing-ref reference to a missing file: references/visualization/demos/
  • warning missing-ref reference to a missing file: references/jsapigl/docs/点标记.md
  • warning missing-ref reference to a missing file: references/visualization/docs/热力图.md

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/jsapigl/docs/, references/visualization/docs/, references/visualization/demos/
  • 0Tools and files. 5 referenced file(s) missing: references/jsapigl/docs/, references/visualization/docs/, references/visualization/demos/
  • 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
  • 40Consistency. Frontmatter name (tmap-jsapi-gl) differs from the folder (tmap-jsapi-gl-skill)
  • 100Steps. 76 steps
  • 100Execution cost. Instruction body is 1133 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 203: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 76 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This is a Tencent Maps JavaScript GL reference skill with expected map-service examples, but users should handle API keys and location-related data carefully.
LLM: benign (high) · VirusTotal: · 29 May 2026