SKILLEMALL.ai

AC hk-stock-to-gougoubi-prediction

Turn Hong Kong stock research into Gougoubi-ready prediction proposals with deterministic market wording, deadline selection, resolution rules, and tags. Use when users want to analyze 港股 and publish or prepare a Gougoubi prediction market from the result.

ClawHub Agent Skills author: chinasong v1.0.0 MIT-0 7 files body ≈ 1 234 tokens Open the sourceclawhub.ai↗ analyzed 15 d ago

Turn Hong Kong stock research into Gougoubi-ready prediction proposals with deterministic market wording, deadline selection, resolution rules, and tags.

As a process C 64/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
64/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 64/100

    • 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
    • 30Running it twice. 6 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 61 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1234 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 256: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 61 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This Markdown-only skill coherently helps prepare Hong Kong stock prediction-market proposals and includes clear limits against submitting anything unless the user explicitly asks.
    LLM: benign (high) · VirusTotal: · 12 Sept 2026