SKILLEMALL.ai

AC oracle-x-bist

Read and reason about Borsa İstanbul — BIST equities and the XU100, TEFAS funds and their holdings, KAP disclosures, VİOP futures margins, open interest and positioning, foreign ownership, short-sale restrictions, and the Turkish macro series (TÜFE inflation, policy rate, USDTRY) the rest is measured against. Use this whenever a question names a Turkish ticker such as THYAO, ASELS, GARAN or EREGL, a BIST index, a TEFAS fund code, KAP, VİOP or Takasbank, or asks what a lira return was actually worth. Half of it needs no server at all: how a nominal return is turned into a real one, where Takasbank publishes the price scan range and the two filters that make it read correctly, and why a margin-call price for VİOP cannot be computed from anything public. The other half calls a running Oracle-X instance when ORACLE_X_URL is set. Consult it before quoting any Turkish figure, because a lira number over a year of ~32% inflation reports inflation as performance.

ClawHub Agent Skills author: Yiğit ERDOĞAN v1.0.1 MIT-0 6 files body ≈ 2 241 tokens Open the sourceclawhub.ai analyzed 3 d ago

Read and reason about Borsa İstanbul — BIST equities and the XU100, TEFAS funds and their holdings, KAP disclosures, VİOP futures margins, open interest and…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorSoftware developmentInfrastructureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
C
54/100
Has gaps
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Read and reason about Borsa İstanbul — BIST equities and the XU100… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 54/100

    • 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
    • 30Running it twice. 6 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 75Steps. 3 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2241 tokens

    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 968: 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: 12 headings
    • +3Step-by-step instructions: 3 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

    External checks

    ClawHub: clean
    This skill is a coherent Turkish-market research helper that calls a disclosed Oracle-X data server or public market-data sources, without hidden credential use or destructive behavior.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026