SKILLEMALL.ai

BB oracle-x-api

Read live market intelligence from a running Oracle-X terminal — spot prices and candles for crypto (BTC, ETH, SOL) and equities, computed support/resistance zones, news with its LLM analysis, macro regime, per-chain metrics, liquidations, funding rates, open interest, whale flow, institutional ownership, Polymarket prediction-market odds, and a vector memory of past market events. Use this whenever the user asks what an asset is doing, why it moved, where its levels are, what the news means, how the macro backdrop looks, who is holding it, what the market odds on an event are, or what happened last time conditions looked like this — and whenever ORACLE_X_URL is set or something is listening on localhost:8000. Prefer it over generic web search for anything the terminal already tracks, because the terminal's numbers are cached, cross-checked and timestamped. Borsa İstanbul is deliberately not here — BIST, TEFAS, KAP and VİOP are the sibling skill oracle-x-bist, on the same instance.

ClawHub Agent Skills author: Yiğit ERDOĞAN v1.0.5 MIT-0 12 files body ≈ 2 860 tokens Open the sourceclawhub.ai analyzed 2 d ago

Read live market intelligence from a running Oracle-X terminal — spot prices and candles for crypto (BTC, ETH, SOL) and equities, computed support/resistance…

As a process B 67/100 · Nearly there — weak spots: result and completion, running it twice

IntegrationData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
85
Quality 40%
84
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Running it twice w 4
30
Failures and branches w 10
50
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

    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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • medium Exfiltration net-redirectable-api-key examples/client.py:22
      Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
      API key + configurable base URL from environment
    • medium Exfiltration net-credential-use references/auth.md:56
      Credential used in a network call (verify the destination is the intended service)
      curl -sf -H "Authorization: Bearer $ORACLE_X_TOKEN" \
    • medium Exfiltration net-credential-use SKILL.md:186
      Credential used in a network call (verify the destination is the intended service)
      curl -sf -H "Authorization: Bearer $ORACLE_X_TOKEN" \

    Files scanned: 12. 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 67/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 4 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2860 tokens
    • 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)
    • +3Description length 996: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +2Single-language instructions
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 4 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This is a coherent Oracle-X API helper that makes disclosed calls to a user-configured financial terminal, with optional credentials only for user-scoped features.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026