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chinasong

Gougoubi Claim All Rewards

by chinasong · GitHub ↗ · v1.0.2 · MIT-0
darwinlinuxwin32 ⚠ suspicious
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Install in OpenClaw
/install gougoubi-claim-all-rewards
Description
Claim all Gougoubi rewards for one or more addresses, including winner rewards, governance rewards, and LP rewards. Use when users want one-click claiming wi...
README (SKILL.md)

Gougoubi Claim All Rewards

Use this skill for one-click reward claiming across one or multiple addresses.

Use This Skill When

  • The user wants to claim all rewards for one address or multiple addresses.
  • The user explicitly wants the profile-style fast path.
  • The user wants winner, governance, and LP rewards claimed together.

Do Not Use This Skill When

  • The user wants to inspect missing results before claiming. Use gougoubi-recovery-ops.
  • The user wants proposal activation or LP staking. Use activation skills instead.

Input

{
  "addresses": ["0x...", "0x...", "0x..."],
  "method": "profile|quick|full-scan"
}

Defaults:

  • method=profile

Pipeline

Step 1: Validate all addresses.

Step 2: Pick claim method:

  • profile: match the reward-detail modal behavior.
  • quick: fast direct claim path.
  • full-scan: exhaustive fallback only when needed.

Step 3: Run claim for each address.

Step 4: Record all tx hashes and per-type claim status when available.

Step 5: Return a full summary.

Checkpoints

  • Prefer profile unless the user explicitly asks otherwise.
  • Do not force slow condition scanning when the user asked for one-click claim.
  • Safe re-run behavior is required.

Output

{
  "ok": true,
  "method": "profile",
  "addresses": ["0x..."],
  "claimedTxCount": 0,
  "results": [
    {
      "address": "0x...",
      "winnerRewardClaimed": true,
      "governanceRewardClaimed": true,
      "lpRewardClaimed": true,
      "txHashes": ["0x..."]
    }
  ],
  "warnings": []
}

Failure:

{
  "ok": false,
  "stage": "validation|claim|confirm",
  "error": "reason",
  "retryable": true
}

Project Scripts

  • scripts/pbft-claim-rewards-profile-method.mjs
  • scripts/pbft-claim-rewards-quick.mjs
  • scripts/pbft-claim-three-address-rewards.mjs

Script Entry Points

  • Preferred profile path: scripts/pbft-claim-rewards-profile-method.mjs
  • Fast one-click path: scripts/pbft-claim-rewards-quick.mjs
  • Deep scan path: scripts/pbft-claim-three-address-rewards.mjs
  • node scripts/pbft-claim-rewards-profile-method.mjs --help
  • node scripts/pbft-claim-rewards-profile-method.mjs --dry-run
  • node scripts/pbft-claim-rewards-quick.mjs --dry-run
  • node scripts/pbft-claim-three-address-rewards.mjs --dry-run

Boundaries

  • Claim all three reward classes together when available.
  • Keep the method explicit in the output.
Usage Guidance
Do not install or run this skill without clarifying missing pieces. Before proceeding: 1) Verify the referenced GitHub repository and inspect the scripts (scripts/*.mjs) — they are not included in the package. 2) Confirm how transactions are signed: never supply private keys directly to an untrusted skill; prefer hardware signing or an audited signer service. 3) Ask the author to provide an explicit install spec or include the scripts in the package, and a clear description of RPC endpoints, storage for tx hashes, and dry‑run behavior. 4) If you must test, run only in a sandbox/testnet environment and use --dry-run to avoid unintended on‑chain transactions. If the repository and scripts are not verifiable, treat the skill as unsafe.
Capability Analysis
Type: OpenClaw Skill Name: gougoubi-claim-all-rewards Version: 1.0.2 The skill bundle is a standard automation tool for claiming crypto rewards (winner, governance, and LP) on the Gougoubi protocol. It contains metadata and instructions for an AI agent to execute local scripts (e.g., pbft-claim-rewards-profile-method.mjs) for reward processing. No evidence of malicious intent, data exfiltration, or prompt injection was found in the provided documentation and configuration files (SKILL.md, clawhub.json, INSTALL.md), and the behavior is clearly aligned with the stated purpose.
Capability Assessment
Purpose & Capability
The name/description and SKILL.md claim a one‑click reward claimer (winner, governance, LP) which is coherent. However the skill references several local Node script entrypoints (scripts/*.mjs) that are not included in the package. The manifest points to a GitHub repo, but there is no install spec; it's unclear where the runtime code comes from.
Instruction Scope
Runtime instructions tell the agent to run node scripts to perform on‑chain claims and to record tx hashes. The SKILL.md does not explain how transactions are to be signed (no wallet/key provider, no RPC endpoints), nor where recorded data is stored. Because the instructions direct potentially destructive on‑chain actions but omit signing and storage details, the scope is underspecified and risky.
Install Mechanism
There is no install specification in the registry (instruction‑only skill). INSTALL.md and clawhub.json reference copying from a local skills folder or installing from a GitHub repo, but those are documentation only — the registry package contains no scripts. This mismatch means the agent or user would have to obtain code externally before the skill is functional.
Credentials
Claiming on‑chain normally requires signing credentials (private key, wallet, or delegated signer) and an RPC endpoint; the skill declares no required env vars or primary credential and does not describe how signing is handled. Requiring no credentials while performing transactions is disproportionate and unexplained.
Persistence & Privilege
The skill is not marked always:true, requests no persistent environment access, and provides no install hooks. There is no evidence it requests elevated or permanent privileges in the registry metadata.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install gougoubi-claim-all-rewards
  3. After installation, invoke the skill by name or use /gougoubi-claim-all-rewards
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
- Added "Script Entry Points" section to SKILL.md for improved clarity on script usage and available commands. - Included command-line usage examples with --help and --dry-run flags. - No changes to functionality or APIs—documentation improvement only.
v1.0.1
gougoubi-claim-all-rewards v1.0.1 - Improved documentation and usage boundaries in SKILL.md for clarity. - Added explicit guidance on when not to use the skill and pointed to alternative skills. - Output JSON now includes a warnings array and clear failure structure for error handling. - Metadata enriched with new fields for better integration and skill discovery. - Updated all references to consistently prefer the 'profile' method as default.
v1.0.0
Initial release of one-click all-rewards claim skill: - Enables claiming winner, governance, and LP rewards for multiple addresses in one operation. - Supports fast "profile" method for direct claiming without scanning conditions. - Offers alternative "quick" and "full-scan" methods if needed. - Returns detailed claim summary with transaction hashes per address. - Ensures safe, idempotent execution for repeated runs.
Metadata
Slug gougoubi-claim-all-rewards
Version 1.0.2
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 3
Frequently Asked Questions

What is Gougoubi Claim All Rewards?

Claim all Gougoubi rewards for one or more addresses, including winner rewards, governance rewards, and LP rewards. Use when users want one-click claiming wi... It is an AI Agent Skill for Claude Code / OpenClaw, with 251 downloads so far.

How do I install Gougoubi Claim All Rewards?

Run "/install gougoubi-claim-all-rewards" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Gougoubi Claim All Rewards free?

Yes, Gougoubi Claim All Rewards is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Gougoubi Claim All Rewards support?

Gougoubi Claim All Rewards is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).

Who created Gougoubi Claim All Rewards?

It is built and maintained by chinasong (@chinasong); the current version is v1.0.2.

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