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BD google-analytics

Google Analytics API integration with managed OAuth. Manage accounts, properties, and data streams (Admin API). Run reports on sessions, users, page views, and conversions (Data API). Use this skill when users want to configure or query Google Analytics. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).

ClawHub Agent Skills author: rich-song v1.0.0 3 files body ≈ 2 708 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGoogle AnalyticsData 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
76/100
safety, quality, tests
Safety 60%
70
Quality 40%
85
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

Obfuscation medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • medium Exfiltration net-credential-use SKILL.md:19
      Credential used in a network call (verify the destination is the intended service)
      curl -s -X GET "https://gateway.maton.ai/google-analytics-admin/v1beta/accountSummaries" -H "Authorization: Bearer $MATON_API_KEY"
    • medium Exfiltration net-credential-use SKILL.md:22
      Credential used in a network call (verify the destination is the intended service)
      curl -s -X POST "https://gateway.maton.ai/google-analytics-data/v1beta/properties/{propertyId}:runReport" -H "Content-Type: application/json" -H "Authorization: Bearer $MATON_API_KEY" -d '{"dateRanges
    • medium Exfiltration net-credential-use SKILL.md:73
      Credential used in a network call (verify the destination is the intended service)
      curl -s -X GET "https://ctrl.maton.ai/connections?app=…&status=…" -H "Authorization: Bearer $MATON_API_KEY"
    • medium Exfiltration net-credential-use SKILL.md:76
      Credential used in a network call (verify the destination is the intended service)
      curl -s -X GET "https://ctrl.maton.ai/connections?app=…&status=…" -H "Authorization: Bearer $MATON_API_KEY"
    • medium Exfiltration net-credential-use SKILL.md:83
      Credential used in a network call (verify the destination is the intended service)
      curl -s -X POST "https://ctrl.maton.ai/connections" -H "Content-Type: application/json" -H "Authorization: Bearer $MATON_API_KEY" -d '{"app": "google-analytics-admin"}'
    • medium Obfuscation obf-base64-blob SKILL.md:389
      Long base64-looking blob
      - [Realtime Report](https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runRealtimeReport)

    Files scanned: 3. 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 49/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (google-analytics) differs from the folder (google-analytics-api)
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 100Steps. 27 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Execution cost. Instruction body is 2708 tokens
    • low 14 top-level sections: this looks like several domains in one skill

    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
    • +2Single-language instructions
    • +3Description length 351: enough signal without eating the budget
    • +4Structure: 38 headings
    • +3Step-by-step instructions: 27 items
    • +4Has examples (28 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This skill is a straightforward Google Analytics integration guide that uses Maton's gateway and OAuth connections as disclosed.
    LLM: benign (high) · VirusTotal: benign · 10 Sept 2026