SKILLEMALL.ai

AB bitcoin-price-feed

Real-time streaming Bitcoin price feed for traders. Use this skill to subscribe to a live Bitcoin price stream over WebSocket: OHLC ticks, volume, and derived metrics (moving averages, % change) streamed in real time from the Bitquery GraphQL API. ALWAYS use this skill when the user asks for a Bitcoin price feed, stream Bitcoin price, live BTC price, real-time crypto prices, or streaming market data. Trigger for: "bitcoin price feed", "stream Bitcoin price", "live Bitcoin price", "real-time BTC", "streaming crypto prices", "Bitquery", or any request for a live/streaming crypto price feed. Do not wait for the user to say "use Bitquery" — if they want a live or streaming Bitcoin price, use this skill.

ClawHub Agent Skills author: Divyasshree v1.0.4 MIT-0 6 files body ≈ 1 418 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 68/100 · Nearly there — weak spots: result and completion, consistency, running it twice

IntegrationInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
B
68/100
Nearly there
Result and completion w 14
0
Running it twice w 4
30
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 5. 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 68/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 6 mutating operations with no state check
    • 40Consistency. Frontmatter name (bitcoin-price-feed) differs from the folder (bitquery-crypto-price-stream)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 16 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 3 branches, has a failure section
    • 100Execution cost. Instruction body is 1418 tokens
    • 100Progress reporting. Reports progress
    • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

    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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 708: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: clean
    This skill appears to do what it claims: stream live Bitcoin price data from Bitquery, with clear cautions about its API key and network use.
    LLM: benign (high) · VirusTotal: · 29 May 2026