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BF jb-patterns

Common Juicebox V5 design patterns for vesting, NFT treasuries, terminal wrappers, yield integration, and governance-minimal configurations. Use when: (1) need treasury vesting without custom contracts, (2) building NFT-gated redemptions, (3) extending revnet functionality via pay wrappers, (4) implementing custom ERC20 tokens, (5) integrating yield protocols like Aave, (6) deciding between native mechanics vs custom code. Covers 11 patterns including terminal wrapper for dynamic pay-time splits, yield-generating hooks for Aave/DeFi integration, and token interception. Golden rule: prefer configuration over custom contracts.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 18 782 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Common Juicebox V5 design patterns for vesting, NFT treasuries, terminal wrappers, yield integration, and governance-minimal configurations.

As a process F 30/100 · Will not run — References files that are not bundled: 3, 1

IntegrationSoftware developmentInfrastructuretype 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
82/100
safety, quality, tests
Safety 60%
95
Quality 40%
63
Run on models
none yet
Process rating
F
30/100
Will not run
References files that are not bundled: 3, 1
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token SKILL.md:92
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    1. Deploy project with `JB72…yer`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:137
    High-entropy token-like string (may be an id, hash or a credential)
    PROJECTS.transferFrom(deployer, 0x00…EaD, projectId);
  • low Secrets in code secret-high-entropy-token SKILL.md:371
    High-entropy token-like string (may be an id, hash or a credential)
    base…on: JBDe…fig({
  • low Secrets in code secret-high-entropy-token SKILL.md:1359
    High-entropy token-like string (may be an id, hash or a credential)
    0x00…EaD,
  • low Secrets in code secret-high-entropy-token SKILL.md:1881
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const NATIVE_TOKEN = '0xEe…EeE';
    quoted

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 18782 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: 3
  • warning missing-ref reference to a missing file: 1

Process rating: all ten parameters 30/100

Will not run. References files that are not bundled: 3, 1
  • 0Tools and files. 2 referenced file(s) missing: 3, 1
  • 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
  • 10Execution cost. Instruction body is 18782 tokens: crowds the task out of the window
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 26 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 117 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • low 16 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
  • -221 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 632: enough signal without eating the budget
  • +4Structure: 90 headings
  • +3Step-by-step instructions: 117 items
  • +4Has examples (45 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.