SKILLEMALL.ai

AC methodalgo-market-intel-explorer

Fetch MethodAlgo crypto market intelligence with methodalgo-cli. Use when: checking crypto news, trading signals, token unlocks, ETF flows, chart snapshots, economic calendar events, macro data, BTC/ETH dominance, total crypto market cap, Fear & Greed, Altseason Index, or Binance public spot/futures prices, ticker, movers, order books, trades, klines, funding, OI, long/short sentiment, basis, exchange-info, and allowlisted raw endpoints.

ClawHub Agent Skills author: MethodAlgo v1.4.2 MIT-0 7 files body ≈ 2 458 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 62/100 · Has gaps — weak spots: inputs and preconditions, running it twice, progress reporting

IntegrationInfrastructurePersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "credentials"
    • note frontmatter-key unknown frontmatter key "provenance"

    Process rating: all ten parameters 62/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Failures and branches. 4 branches
    • 100Steps. 40 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2458 tokens
    • low The response is described with custom markup (5 tags): a typed call is more reliable

    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 441: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 40 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill is a coherent read-only crypto market data helper that installs a disclosed CLI and uses a MethodAlgo API key for market intelligence requests.
    LLM: benign (high) · VirusTotal: · 1 Jun 2026