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BC mkts-market-data

Real-time market data, portfolio tracking, trade journaling, screening, and news for stocks, crypto, ETFs, commodities, and forex — no API key required to start

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 2 files body ≈ 6 403 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Real-time market data, portfolio tracking, trade journaling, screening, and news for stocks, crypto, ETFs, commodities, and forex — no API key required to start

As a process C 55/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

IntegrationPersonal productivitytype 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
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
65
Run on models
none yet
Process rating
C
55/100
Has gaps
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

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Exfiltration net-credential-use SKILL.md:29
    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:36
    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:39
    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: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/assets?type=stock&sector=…"
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:45
    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 description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 6403 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 55/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 8 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 6403 tokens
  • 85Steps. 31 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress

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 160: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 31 items
  • +3Output format is stated explicitly
  • +4Has examples (30 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.