SKILLEMALL.ai

BC robinhood-agentic

Connect to Robinhood Agentic Trading via MCP — view portfolio, analyze positions, place trades, and execute automated strategies through Robinhood's official MCP server.

ClawHub Agent Skills author: Carlos Saucedo v1.0.1 MIT-0 6 files body ≈ 1 075 tokens Open the sourceclawhub.ai analyzed 36 h ago

Connect to Robinhood Agentic Trading via MCP — view portfolio, analyze positions, place trades, and execute automated strategies through Robinhood's official…

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
95
Quality 40%
70
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:34
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…GLi+2W/6ao+6Y7gu/RCwR…Kng==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:93
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…GLw+xYSd…cqA==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:117
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…FrF+LTRo…W3g==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:121
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…A6j+hAmM…GbS+kf5c…csw==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:150
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…F4j+6INO…yXw==}

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 15 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1075 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

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 169: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (5 code blocks)

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

External checks

ClawHub: clean
This is a clearly disclosed Robinhood MCP trading client, with sensitive financial access but no hidden or purpose-mismatched behavior found.
LLM: benign (high) · VirusTotal: · 9 Jun 2026