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AD mapbox-mcp-runtime-patterns

Integration patterns for Mapbox MCP Server in AI applications and agent frameworks. Covers runtime integration with pydantic-ai, mastra, LangChain, and custom agents. Use when building AI-powered applications that need geospatial capabilities.

ClawHub Agent Skills author: Mapbox v1.0.0 MIT-0 22 files body ≈ 1 397 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI 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
92/100
safety, quality, tests
Safety 60%
95
Quality 40%
88
Run on models
none yet
Process rating
D
43/100
Unfinished process
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

    For the model run — optional
    • 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 examples/typescript/package-lock.json:348
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; test fixture / example file)
      "integrity": "sha5…lb4+9Suy…TCw/mYsk…csA==",
      detectorfixture
    • low Secrets in code secret-high-entropy-token examples/typescript/package-lock.json:457
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; test fixture / example file)
      "integrity": "sha5…GLi+2W/6ao+6Y7gu/RCwR…Kng==",
      detectorfixture
    • low Secrets in code secret-high-entropy-token examples/typescript/package-lock.json:492
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; test fixture / example file)
      "integrity": "sha5…F4j+6INO…yXw==",
      detectorfixture
    • low Secrets in code secret-high-entropy-token examples/typescript/package-lock.json:586
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; test fixture / example file)
      "integrity": "sha5…Jqj+nOOr…S5A==",
      detectorfixture
    • low Secrets in code secret-high-entropy-token examples/typescript/package-lock.json:788
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; test fixture / example file)
      "integrity": "sha5…xCA+ORZv…wO5/ywWF…Tag==",
      detectorfixture

    Files scanned: 21. 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 43/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 64 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1397 tokens
    • medium 4 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    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 243: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 64 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (8 of 8)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This skill is a mostly coherent Mapbox integration guide, but users should review it because some examples can send precise location data to hosted Mapbox services while describing tools as offline or no-cost.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026