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BD quantoracle

63 deterministic quantitative finance calculations via MCP. Options pricing, Greeks, implied volatility, exotic derivatives, risk metrics, portfolio optimization, Monte Carlo simulation, statistics, crypto/DeFi, macro/FX, time value of money.

ClawHub Agent Skills author: fel123 v2.1.2 MIT-0 9 files body ≈ 665 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticsAI and agentsInfrastructuretype 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%
93
Quality 40%
72
Run on models
none yet
Process rating
D
49/100
Unfinished process
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

  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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token dist/index.js:10
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const WALLET = process.env.WALLET_ADDRESS || "0xC9…af6";
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:228
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…l1I+R1H7…G3i/cYFJ…fIw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:262
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…XcW+/GvMN…kxZ/opySAZMrc+9LY/WyjA…InQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:279
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…qEP+UeRV…fdw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:313
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…Fnw/+3lVx…cQS+Yu6w==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:415
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…UzV+AA46…P4O+ng17CA==",
    detector
  • low Secrets in code secret-high-entropy-token src/index.ts:17
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const WALLET = process.env.WALLET_ADDRESS || "0xC9…af6";
    quoted

Files scanned: 9. 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 49/100

  • 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
  • 40Consistency. Frontmatter name (quantoracle) differs from the folder (quantoracle-mcp)
  • 100Tools and files. No external tools needed
  • 100Steps. 9 steps
  • 100Execution cost. Instruction body is 665 tokens
  • 100Running it twice. No mutating operations

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 242: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This finance MCP is not clearly malicious, but it needs Review because local use sends financial inputs to QuantOracle’s remote API without clear per-tool disclosure.
LLM: suspicious (high) · VirusTotal: · 29 May 2026