SKILLEMALL.ai

DC alpaca-trading

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."

Not recommendedcritical or high security findings · low grade D
modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 3 955 tokens Open the sourcegithub.com analyzed 3 d ago

Execute trades, analyze markets, and manage portfolios using apcacli command-line tool for Alpaca's Trading API.

As a process C 63/100 · Has gaps — weak spots: result and completion, progress reporting

AnalyzerSoftware developmentInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
D
57/100
safety, quality, tests
Safety 60%
36
Quality 40%
89
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Failures and branches w 10
50
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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 · 5

  • high Dangerous commands cmd-pipe-to-shell README.md:41
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
  • high Dangerous commands cmd-pipe-to-shell README.md:272
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    # Linux: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
  • high Dangerous commands cmd-pipe-to-shell SKILL.md:38
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
Medium and low: 2
  • medium Dangerous commands cmd-shell-rc README.md:70
    Writes to a shell startup file
    echo "export APCA_API_KEY_ID='your_paper_key_id'" >> ~/.zshrc
  • medium Dangerous commands cmd-shell-rc README.md:71
    Writes to a shell startup file
    echo "export APCA_API_SECRET_KEY='your_paper_secret_key'" >> ~/.zshrc

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 63/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 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
  • 85Steps. 105 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3955 tokens
  • 100Running it twice. Mutating operations check current state
  • 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: 45 headings
  • +3Step-by-step instructions: 105 items
  • +4Has examples (40 code blocks)

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