SKILLEMALL.ai
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Live macro, markets and developer-ecosystem data for research, finance, forecasting and trading agents — one cheap x402 call each, no API keys. USE FOR: - Country economic indicators: GDP, growth, inflation, unemployment, GDP/capita, population - DeFi-vs-risk-free spread (top stablecoin yields vs US T-bill rate) + verdict - Official US Treasury average rates + total public debt - Trending GitHub repos, npm download counts, Hacker News top stories TRIGGERS: - "GDP", "inflation", "unemployment", "economy of [country]", "macro data" - "treasury rate", "t-bill", "risk free rate", "defi spread", "national debt" - "trending github", "npm downloads", "hacker news", "top repos" Use x402 GET calls. Never guess paths — use the exact URLs below or GET /samples first.

ClawHub Agent Skills author: rccola990-cloud v1.0.0 MIT-0 2 files body ≈ 279 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Live macro, markets and developer-ecosystem data for research, finance, forecasting and trading agents — one cheap x402 call each, no API keys.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGitHubAI 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%
100
Quality 40%
81
Run on models
none yet
Process rating
D
46/100
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

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 · 0

    ✓ No critical or high findings

    Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "mcp"

    Process rating: all ten parameters 46/100

    • 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
    • 40Consistency. Frontmatter name (market-data) differs from the folder (riley-market-data)
    • 50Steps. 2 steps
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Execution cost. Instruction body is 279 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 13 example trigger phrases
    • +3Description length 769: enough signal without eating the budget
    • +4Structure: 3 headings

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This skill is a simple market-data guide that directs agents to paid x402 GET endpoints and does not include executable code or hidden local behavior.
    LLM: benign (high) · VirusTotal: · 19 Jun 2026