SKILLEMALL.ai

AB alpaca-trading-hardened

Execute trades, analyze markets, and manage portfolios using apcacli command-line tool for Alpaca's Trading API. Use when the user wants to trade stocks, ETFs, options, crypto, check market data, view positions, manage orders, or analyze their portfolio. Also use when they mention "buy," "sell," "trade," "market data," "stock price," "portfolio," "account balance," or "alpaca trading."

ClawHub Agent Skills author: Faberlens v1.0.0 MIT-0 3 files body ≈ 3 846 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Failures and branches w 10
50
Tools and files w 18
60
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: 3. 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
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 106 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3846 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 16 top-level sections: this looks like several domains in one skill

    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 6 example trigger phrases
    • +3Description length 388: enough signal without eating the budget
    • +4Structure: 41 headings
    • +3Step-by-step instructions: 106 items
    • +4Has examples (37 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: suspicious
    This is a legitimate Alpaca trading helper, but it needs review because it can place real-money trades and its safeguards are too broad for that level of access.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026