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BB yield-agent

On-chain yield discovery, transaction building, and portfolio management via the Yield.xyz API. Use when the user wants to find yields, stake, lend, deposit into vaults, check balances, claim rewards, exit positions, compare APYs, or manage any on-chain yield across 80+ networks.

modbender/skill-library-mcp Agent Skills author: modbender MIT 16 files · 7 scripts body ≈ 2 118 tokens Open the sourcegithub.com↗ analyzed 2 d ago

On-chain yield discovery, transaction building, and portfolio management via the Yield.xyz API. Use when the user wants to find yields, stake, lend, deposit…

As a process B 67/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

GeneratorAI and agentstype 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
89/100
safety, quality, tests
Safety 60%
89
Quality 40%
88
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 11

    ✓ No critical or high findings

    Medium and low: 11
    • low Secrets in code secret-high-entropy-token references/chain-formats.md:76
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "address": "5Grw…tQY",
      quoted
    • low Secrets in code secret-high-entropy-token references/examples.md:40
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      **User:** "Deposit 500 USDC into the Morpho flagship vault. My wallet is 0x74…44e"
      fixturequoted
    • low Secrets in code secret-high-entropy-token references/examples.md:46
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      ./scripts/enter-position.sh base…ult 0x74…44e '{"amount":"500"}'
      fixture
    • low Secrets in code secret-high-entropy-token references/examples.md:122
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      ./scripts/check-portfolio.sh base…ult 0x74…44e
      fixture
    • low Secrets in code secret-high-entropy-token references/examples.md:171
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      ./scripts/check-portfolio.sh cosmos-atom-native-staking 0x74…44e
      fixture
    • low Secrets in code secret-high-entropy-token references/examples.md:194
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      ./scripts/manage-position.sh cosmos-atom-native-staking 0x74…44e CLAIM_REWARDS "<passthrough-from-balances>"
      fixture
    • low Secrets in code secret-high-entropy-token references/openapi.yaml:1042
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      example: '0x74…44e'
      quoted
    • low Secrets in code secret-high-entropy-token references/openapi.yaml:4074
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      example: '0x74…44e'
      quoted
    • low Secrets in code secret-high-entropy-token references/openapi.yaml:4092
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      address: '0x74…44e'
      quoted
    • low Secrets in code secret-high-entropy-token references/openapi.yaml:4105
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      example: '0x74…44e'
      quoted
    • low Secrets in code secret-high-entropy-token references/openapi.yaml:4448
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      example: '0xA0…B48'
      quoted

    Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "tools"

    Process rating: all ten parameters 67/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 35 steps, 3 vague phrases
    • 100Tools and files. Tools declared in frontmatter
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2118 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
    • low 11 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (4 tags): a typed call is more reliable

    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 280: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 35 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 7 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.