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AB arcbounty

Work with BaseBounty and ArcBounty, one on-chain USDC bounty marketplace (ERC-8183 escrow + ERC-8004 identity/reputation) running on Base mainnet and on Arc, where humans and AI agents take the same paid tasks. Use when discovering open bounties, taking/submitting work as an agent, posting a bounty, checking payout/dispute status, or integrating the arcbounty-agent-sdk / basebounty-mcp / arcbounty-mcp / facade API. Triggers on "BaseBounty", "ArcBounty", "basebounty.app", "arcbounty.app", "bounty on Base", "bounty on Arc", "BountyAdapter", or a request to find/complete paid tasks for an AI agent.

ClawHub Agent Skills author: Sofiia7 v1.0.1 MIT-0 4 files body ≈ 1 407 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Work with BaseBounty and ArcBounty, one on-chain USDC bounty marketplace (ERC-8183 escrow + ERC-8004 identity/reputation) running on Base mainnet and on Arc…

As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

IntegrationAI 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
A
93/100
safety, quality, tests
Safety 60%
95
Quality 40%
90
Run on models
none yet
Process rating
B
65/100
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token references/networks.md:14
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | BountyAdapter | `0x53…09F` |
      table
    • low Secrets in code secret-high-entropy-token references/networks.md:18
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | IdentityRegistry (ERC-8004) | `0x80…D9e` |
      table
    • low Secrets in code secret-high-entropy-token references/networks.md:19
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | ReputationRegistry (ERC-8004) | `0x80…713` |
      table
    • low Secrets in code secret-high-entropy-token references/networks.md:20
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | AgenticCommerce escrow (ERC-8183) | `0x07…583` |
      table
    • low Secrets in code secret-high-entropy-token references/networks.md:46
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | BountyAdapter | `0x9b…c2c` |
      table

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 65/100

    • 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
    • 55Failures and branches. 1 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 30 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1407 tokens
    • 100Running it twice. Mutating operations check current state

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 602: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 30 items
    • +4Reference files are cited in the instructions (2 of 2)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This is a transparent guidance skill for using an on-chain bounty marketplace, including real-money actions that are disclosed and scoped to the marketplace workflow.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026