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BC Portfolio Risk & Optimization Analyzer

Crypto traders suck at risk management. This tool:

modbender/skill-library-mcp Agent Skills author: modbender MIT 7 files · 2 scripts body ≈ 4 235 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Crypto traders suck at risk management.

As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

AnalyzerFinanceInfrastructureData and analyticstype 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
80/100
safety, quality, tests
Safety 60%
90
Quality 40%
65
Run on models
none yet
Process rating
C
50/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
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 · 10

✓ No critical or high findings

Medium and low: 10
  • low Exfiltration read-dotenv README.md:22
    Reads a .env file
    cp .env.example .env
  • low Secrets in code secret-high-entropy-token README.md:43
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    $BANKR: `0x50…b07`
    quoted
  • low Exfiltration read-dotenv scripts/execute-buyback.sh:7
    Reads a .env file
    source .env 2>/dev/null || true
  • low Secrets in code secret-high-entropy-token scripts/execute-buyback.sh:10
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    USDC_ADDRESS="0xA0…B48"  # Ethereum mainnet
    quoted
  • low Secrets in code secret-high-entropy-token scripts/execute-buyback.sh:11
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    UNISWAP_ROUTER="0xE5…564"  # Uniswap V3
    quoted
  • low Secrets in code secret-high-entropy-token server.js:11
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const BANKR_TOKEN = process.env.BANKR_TOKEN || '0x50…b07';
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:33
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - $BANKR: `0x50…b07` (Base/Polygon)
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:192
    High-entropy token-like string (may be an id, hash or a credential)
    ./scripts/analyze-wallet.sh 0x74…bEb
  • low Secrets in code secret-high-entropy-token SKILL.md:231
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "wallet": "0x74…bEb",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:497
    High-entropy token-like string (may be an id, hash or a credential)
    address public bankrToken = 0x50…b07;

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 50/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (Portfolio Risk & Optimization Analyzer) differs from the folder (portfolio-risk-analyzer)
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4235 tokens
  • 100Steps. 122 steps
  • low 22 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)
  • +3Description length 50: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -226 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 77 headings
  • +3Step-by-step instructions: 122 items
  • +4Has examples (43 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.