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BB slopwork

Solana-powered task marketplace with multisig escrow payments - post tasks, bid on work, escrow funds, and release payments via 2/3 multisig

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 7 519 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Solana-powered task marketplace with multisig escrow payments - post tasks, bid on work, escrow funds, and release payments via 2/3 multisig

As a process B 66/100 · Nearly there — weak spots: when it triggers, consistency, running it twice

IntegrationAI and agentsCommercetype 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%
97
Quality 40%
66
Run on models
none yet
Process rating
B
66/100
Nearly there
When it triggers w 12
20
Running it twice w 4
30
Consistency w 8
40
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.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration read-dotenv README.md:21
    Reads a .env file
    cp .env.example .env        # configure DATABASE_URL, SOLANA_RPC_URL, etc.
  • low Secrets in code secret-high-entropy-token SKILL.md:148
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "systemWalletAddress": "3ARu…Ptc",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:149
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "arbiterWalletAddress": "3ARu…Ptc",
    quoted

Files scanned: 2. 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")
  • warning body-long SKILL.md body ≈ 7519 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 66/100

  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 42 mutating operations with no state check
  • 40Consistency. Frontmatter name (slopwork) differs from the folder (slopwork-marketplace)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 7519 tokens
  • 100Steps. 61 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100Progress reporting. Reports progress
  • 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)
  • +2Single-language instructions
  • +3Description length 140: enough signal without eating the budget
  • +4Structure: 50 headings
  • +3Step-by-step instructions: 61 items
  • +3Output format is stated explicitly
  • +4Has examples (20 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.