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BB ned-analytics

Query your Shopify store's sales, profitability, customers, and marketing data through Ned's API. Use when asked about profit, revenue, sales, orders, products, customers, churn, ad spend, ROAS, MER, margins, or any ecommerce analytics question. Also use for 'what's my profit today', 'top products', 'customer segments', 'ad performance', or 'how is my store doing'. Requires a NED_API_KEY.

ClawHub Agent Skills author: nedAI v1.0.1 3 files · 1 script body ≈ 1 099 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 67/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, progress reporting

IntegrationShopifyData and analyticsInfrastructuretype 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%
80
Quality 40%
90
Run on models
none yet
Process rating
B
67/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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.

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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • medium Exfiltration net-credential-use scripts/ned-query.sh:17
      Credential used in a network call (verify the destination is the intended service)
      response=$(curl -s -w "\n%{http_code}" -H "Authorization: Bearer $NED_API_KEY" "$URL")
    • medium Exfiltration net-credential-use SKILL.md:83
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $NED_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:87
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $NED_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:91
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $NED_API_KEY" \

    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 67/100

    • 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
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1099 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 391: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 8 items
    • +3Output format is stated explicitly
    • +4Has examples (10 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This is a straightforward Ned Shopify analytics connector that uses a user-provided API key to query Ned’s API, with no hidden persistence or unrelated data access found.
    LLM: benign (high) · VirusTotal: benign · 28 May 2026