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BB mkts-market-data

Retrieve market data and, with explicit user confirmation, manage portfolio, journal, and watchlist records through mkts.io for stocks, crypto, ETFs, commodities, and forex. Use for quotes, research, screening, news, and user-requested account workflows; never transmit private content or mutate records without informed consent.

ClawHub Agent Skills author: Stephen v1.0.18 MIT-0 2 files body ≈ 7 635 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process B 69/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, running it twice

ProcedurePersonal productivityInfrastructuretype 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
85/100
safety, quality, tests
Safety 60%
90
Quality 40%
77
Run on models
none yet
Process rating
B
69/100
Nearly there
Inputs and preconditions w 11
0
When it triggers w 12
20
Running it twice w 4
30
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

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 exfil-send-secrets-to-url SKILL.md:22
    Instruction to send secrets/history to an external endpoint (describes API authentication (bearer / header / HTTPS); the skill's own vendor host)
    - Keep `MKTS_API_KEY` private. Use it only from an already configured environment variable; never print it, place it in a URL/body, search files or environment variables to discover credentials, or se
    API authvendor-host
  • low Exfiltration net-credential-use SKILL.md:42
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s -H "X-API-Key: $MKTS_API_KEY" https://mkts.io/api/v1/market
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:49
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s -H "X-API-Key: $MKTS_API_KEY" "https://mkts.io/api/v1/assets"
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:52
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s -H "X-API-Key: $MKTS_API_KEY" "https://mkts.io/api/v1/assets?type=stock&limit=20"
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:55
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s -H "X-API-Key: $MKTS_API_KEY" "https://mkts.io/api/v1/assets?type=stock&sector=…"
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:58
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s -H "X-API-Key: $MKTS_API_KEY" "https://mkts.io/api/v1/assets?search=apple"
    vendor-host

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7635 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 69/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 14 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 7635 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 39 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 329: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 39 items
  • +3Output format is stated explicitly
  • +4Has examples (30 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill is a disclosed mkts.io market-data integration with explicit consent requirements for sensitive account changes.
LLM: benign (high) · VirusTotal: · 12 Aug 2026