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BD gekko-portfolio-manager

AI-powered DeFi portfolio manager for Base network. Analyze yield opportunities, manage portfolio allocations, and provide market intelligence across DeFi protocols. Real-time vault APY analysis from Morpho and Yearn.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 1 152 tokens Open the sourcegithub.com↗ analyzed 2 d ago

AI-powered DeFi portfolio manager for Base network.

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

AnalyzerFinancetype 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
79/100
safety, quality, tests
Safety 60%
84
Quality 40%
72
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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 · 16

✓ No critical or high findings

Medium and low: 16
  • low Secrets in code secret-high-entropy-token CLAUDE.md:50
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Seamless USDC:** `0x61…738`
    quoted
  • low Secrets in code secret-high-entropy-token CLAUDE.md:51
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Moonwell USDC:** `0xc1…2Ca`
    quoted
  • low Secrets in code secret-high-entropy-token CLAUDE.md:52
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Spark USDC:** `0x7b…34A`
    quoted
  • low Secrets in code secret-high-entropy-token CLAUDE.md:53
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Gauntlet USDC Prime:** `0xe8…b61`
    quoted
  • low Secrets in code secret-high-entropy-token CLAUDE.md:54
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Yo USDC:** `0x00…a65`
    quoted
  • low Secrets in code secret-high-entropy-token README.md:41
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Seamless USDC | `0x61…738` |
    table
  • low Secrets in code secret-high-entropy-token README.md:42
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Moonwell USDC | `0xc1…2Ca` |
    table
  • low Secrets in code secret-high-entropy-token README.md:43
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Spark USDC | `0x7b…34A` |
    table
  • low Secrets in code secret-high-entropy-token README.md:44
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Gauntlet USDC Prime | `0xe8…b61` |
    table
  • low Secrets in code secret-high-entropy-token README.md:45
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Yo USDC | `0x00…a65` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:35
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "tokens": ["0x83…913"]
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:54
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "token": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:131
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Seamless USDC | `0x61…738` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:132
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Moonwell USDC | `0xc1…2Ca` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:133
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Spark USDC | `0x7b…34A` |
    table
  • low Risky intent intent-offensive-security SKILL.md:150
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    All vault contracts are open-source, verified on-chain, and subject to third-party audits, formal verification, and bug bounty programs. Real-time monitoring ensures transparency at every layer.

Files scanned: 3. 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
  • 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 (gekko-portfolio-manager) differs from the folder (gekko)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 1152 tokens
  • 100Running it twice. No mutating operations
  • 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 217: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (5 code blocks)

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