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BF perfect-storm-options-trader

Autonomous but risk-bounded options trading agent spec for the "Perfect Storm" strategy (paper trading only). Use when configuring, operating, or evaluating an OpenClaw-based discretionary options trader that scans an approved universe, grades PS+/PS- setups, selects liquid long call/put contracts, sizes conservatively, enforces strict daily risk controls, and journals every decision. Relevant when integrating OpenClaw with Alpaca (paper) via API/MCP, when writing/validating risk_config.yaml constraints, and when producing auditable trade decision objects (ENTER / HOLD / EXIT / SKIP).

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 4 files body ≈ 5 285 tokens Open the sourcegithub.com↗ analyzed 29 h ago

Autonomous but risk-bounded options trading agent spec for the "Perfect Storm" strategy (paper trading only).

As a process F 38/100 · Will not run — References files that are not bundled: references/AGENTS.md, references/risk_config.yaml, scripts/alpaca.mjs

IntegrationConfluenceAI and agentsPersonal productivitytype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: references/AGENTS.md, references/risk_config.yaml, scripts/alpaca.mjs
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5285 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/AGENTS.md
  • warning missing-ref reference to a missing file: references/risk_config.yaml
  • warning missing-ref reference to a missing file: scripts/alpaca.mjs

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/AGENTS.md, references/risk_config.yaml, scripts/alpaca.mjs
  • 0Tools and files. 3 referenced file(s) missing: references/AGENTS.md, references/risk_config.yaml, scripts/alpaca.mjs
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (perfect-storm-options-trader) differs from the folder (perfect-storm-options-trader-v2)
  • 65Failures and branches. 3 branches
  • 70Execution cost. Instruction body is 5285 tokens
  • 100Steps. 82 steps
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 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

  • +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
  • +1No license
  • +2Single-language instructions
  • +3Description length 591: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 82 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.