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AB city-scout

城市踏勘官 CityScout：把城市片区、任务目标和时间预算转成可执行的踏勘路线、观察清单、风险点和汇报摘要。适用于城市更新、商业选址、文旅动线、街区活力评估等需要地图能力和现场判断结合的任务。

ClawHub Agent Skills author: Frank Yee v1.0.0 MIT-0 5 files body ≈ 810 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

城市踏勘官 CityScout：把城市片区、任务目标和时间预算转成可执行的踏勘路线、观察清单、风险点和汇报摘要。适用于城市更新、商业选址、文旅动线、街区活力评估等需要地图能力和现场判断结合的任务。

As a process B 77/100 · Nearly there — weak spots: consistency, progress reporting

ProcedureField serviceWriting and documentsAI and agentstype 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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
77/100
Nearly there
Progress reporting w 2
0
Consistency w 8
40
Result and completion w 14
60
the three weakest of ten parameters · all ten

How to improve

    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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 77/100

    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (city-scout) differs from the folder (city-scout-amap-skill)
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 56 steps
    • 100Execution cost. Instruction body is 810 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 98: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 56 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This is a markdown-only city fieldwork planning skill that uses mapping concepts in a purpose-aligned and disclosed way.
    LLM: benign (high) · VirusTotal: · 18 Jun 2026