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Gougoubi Claim All Rewards

作者 chinasong · GitHub ↗ · v1.0.2 · MIT-0
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在 OpenClaw 中安装
/install gougoubi-claim-all-rewards
功能描述
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...
使用说明 (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.
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install gougoubi-claim-all-rewards
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /gougoubi-claim-all-rewards 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
Slug gougoubi-claim-all-rewards
版本 1.0.2
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 3
常见问题

Gougoubi Claim All Rewards 是什么?

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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 251 次。

如何安装 Gougoubi Claim All Rewards?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install gougoubi-claim-all-rewards」即可一键安装,无需额外配置。

Gougoubi Claim All Rewards 是免费的吗?

是的,Gougoubi Claim All Rewards 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Gougoubi Claim All Rewards 支持哪些平台?

Gougoubi Claim All Rewards 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, win32)。

谁开发了 Gougoubi Claim All Rewards?

由 chinasong(@chinasong)开发并维护,当前版本 v1.0.2。

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