SKILLEMALL.ai

AC value-nvest-perspective

Use when evaluating US stock option setups, long-call positioning, underlying-plus-options allocation, or buy-the-dip decisions through the Longbridge account 价值&投资's quality-growth, patience-first lens. Also use for any question about whether to buy, hold, rotate, or add options on US tech stocks including M7, semiconductors, AI infrastructure, or the AI capex middle-stack (memory, networking, power/cooling). Covers the 2026 rate-cutting cycle, M7 performance divergence, and the broadening beyond mega-cap into enabler plays.

ClawHub Agent Skills author: 史纯涛 v0.1.0 MIT-0 13 files body ≈ 1 222 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 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 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 36 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1222 tokens
    • 100Running it twice. No mutating operations
    • medium 4 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 531: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 36 items
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This is an instruction-only stock and options analysis skill, with visible external market-data setup steps and no evidence of trade execution or hidden data access.
    LLM: benign (high) · VirusTotal: · 29 May 2026