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openclaw-growth-packOpenClaw growth pack 开发

Agent Skill

openclaw-growth-pack 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

10,680

周安装

445

GitHub Stars

公开资料未说明

下载量

3,560
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openclaw-growth-pack(OpenClaw growth pack 开发)
来源仓库:https://github.com/dalomeve/openclaw-growth-pack
安装命令:
openclaw skills install openclaw-growth-pack
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install openclaw-growth-pack

简介

引导新 OpenClaw 实例初始化,对齐模型路由与网关令牌,建立自治循环机制。

  • 适合批量部署或多代理协调,提供防失速合约与工作人员验证门控。
  • 当用户启动新环境或重置配置时触发,自动加载推荐技能与内存模板。
  • 需统一网关版本与令牌分发策略,避免跨实例冲突,建议先阅读对齐文档。
  • 成长追踪功能依赖本地日志,定期归档以防磁盘占满,不影响核心代理运行。

SKILL.md

name
openclaw-growth-pack
description
Turn a fresh OpenClaw install into a reliable execution agent. Use when users report "asks step-by-step only", stalls mid-task, token mismatch, or model routing/auth failures. Apply a production onboarding baseline: model routing, gateway token consistency, anti-stall heartbeat, lightweight autonomy loop, and verification checklist.

OpenClaw Growth Pack

Apply this skill to bootstrap a new OpenClaw instance into a stable, task-completing setup.

Use this workflow in order:

  1. Align model routing and provider endpoint.
  2. Align gateway token values across runtime surfaces.
  3. Install anti-stall execution contract in AGENTS.md and HEARTBEAT.md.
  4. Enable lightweight periodic self-check.
  5. Run verification gates before calling setup complete.

Keep changes minimal, auditable, and reversible.

1) Model Routing Baseline

Use one source of truth in ~/.openclaw/openclaw.json:

{
  "models": {
    "mode": "merge",
    "providers": {
      "bailian": {
        "baseUrl": "https://coding.dashscope.aliyuncs.com/v1",
        "apiKey": "YOUR_CODING_PLAN_KEY"
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "bailian/qwen3-coder-plus"
      }
    }
  }
}

Rules:

  • Do not keep coding-intl.dashscope.aliyuncs.com in active config.
  • Do not duplicate provider definitions in multiple files unless strictly needed.
  • If ~/.openclaw/agents/main/agent/models.json exists, remove conflicting provider overrides.

2) Gateway Token Consistency

Keep all token surfaces aligned:

  • gateway.auth.token in openclaw.json
  • gateway.remote.token in openclaw.json (if present)
  • Dashboard Control UI token (paste the same value)

PowerShell audit:

$cfg = Get-Content "$HOME/.openclaw/openclaw.json" -Raw | ConvertFrom-Json
$auth = $cfg.gateway.auth.token
$remote = $cfg.gateway.remote.token
"auth.token   = $auth"
"remote.token = $remote"
if ($remote -and $auth -ne $remote) { Write-Warning "Token mismatch in openclaw.json" }

After any token change:

openclaw gateway restart

3) Anti-Stall Contract

Write or update AGENTS.md with these mandatory constraints:

  • Output state on each substantial task: Goal, Progress, Next.
  • Do not stop before completion except for explicit blocker or user stop.
  • On failure: retry, then fallback, then report minimal unblock input.
  • Multi-step completion must include evidence artifact path or command result summary.

Write or update HEARTBEAT.md:

  • Each cycle performs at most 1-2 checks.
  • Either produce execution evidence or exactly HEARTBEAT_OK.
  • If queue item exists, execute one concrete step, then log evidence to memory/YYYY-MM-DD.md.

4) Lightweight Autonomy Loop

If cron/system events are available, create conservative jobs:

  • Daily: unfinished-task check.
  • Weekly: memory review and friction pattern extraction.

If cron is unavailable, enforce manual equivalent:

  • Start-of-day: review tasks/QUEUE.md, pick one actionable item.
  • End-of-day: append one lesson to memory/YYYY-MM-DD.md.

5) Verification Gates (Do Not Skip)

Setup is complete only when all pass:

  • Model call succeeds with primary route.
  • Gateway access succeeds without token mismatch.
  • A 3+ step task finishes with evidence.
  • At least one blocker path is documented in memory/blocked-items.md.

Recommended evidence:

  • command summary
  • artifact path or URL
  • final status (done or blocked with required input)

6) Rollback

Before edits, create backups:

Copy-Item "$HOME/.openclaw/openclaw.json" "$HOME/.openclaw/openclaw.json.bak" -Force

Rollback:

Copy-Item "$HOME/.openclaw/openclaw.json.bak" "$HOME/.openclaw/openclaw.json" -Force
openclaw gateway restart

References

For concrete command examples and troubleshooting playbooks, read:

  • references/examples.md

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

96.93%
按下载量换算3,451

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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