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BF china-coord-transform

在中国常用的三种坐标系之间转换 —— WGS-84（GPS / 谷歌地球）、GCJ-02（火星坐标系，高德/腾讯）、BD-09（百度坐标系）。提供

ClawHub Agent Skills author: ruiduobao v1.0.0 MIT-0 5 files body ≈ 1 022 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

在中国常用的三种坐标系之间转换 —— WGS-84（GPS / 谷歌地球）、GCJ-02（火星坐标系，高德/腾讯）、BD-09（百度坐标系）。提供

As a process F 34/100 · Will not run — References files that are not bundled: examples/points.csv, examples/controls.csv

GeneratorInfrastructureSoftware developmentData 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
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: examples/points.csv, examples/controls.csv
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: 5. 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: examples/points.csv
  • warning missing-ref reference to a missing file: examples/controls.csv

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: examples/points.csv, examples/controls.csv
  • 0Tools and files. 2 referenced file(s) missing: examples/points.csv, examples/controls.csv
  • 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
  • 40Consistency. Frontmatter name (china-coord-transform) differs from the folder (geoskill-china-coord-transform)
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 4 steps
  • 100Execution cost. Instruction body is 1022 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)
  • +3Description length 73: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 4 items
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: clean
This skill is a documented coordinate-conversion helper with no executable code present, no hidden persistence, and only a low dependency-versioning concern.
LLM: benign (high) · VirusTotal: · 1 Aug 2026