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Agent Skill · 开发

symphony(symphony 开发)

symphony 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

symphony 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 3,373。

总安装 11,668周安装 472GitHub Stars 公开资料未说明下载 3,663核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:symphony(symphony 开发)
来源仓库:https://github.com/ivangdavila/symphony
安装命令:
openclaw skills install symphony
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 symphony

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

使用独立的问题工作区、工作流程合同和无人值守的 Codex 编排为 Linear 项目设置和运行 OpenAI Symphony。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install symphony;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

symphony 怎么安装?

在终端执行 openclaw skills install symphony。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

symphony 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

symphony 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

symphony 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

symphony 用的人多吗?

公开数据是累计安装 11,668 次,近一周安装 472 次,下载 3,663 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

symphony 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
symphony

symphony 开发 · 本页

11,668—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
OpenAI Symphony
slug
symphony
version
1.0.0
homepage
https://clawic.com/skills/symphony
description
Set up and run OpenAI Symphony with isolated issue workspaces, workflow contracts, and unattended Codex orchestration for Linear projects.
changelog
Initial release with workflow templates, runbook guidance, and safety guardrails for operating Symphony in trusted environments.
metadata
{"clawdbot":{"emoji":"S","requires":{"bins":["git","codex"],"env":["LINEAR_API_KEY","OPENAI_API_KEY","GITHUB_TOKEN"],"config":["~/symphony/"]},"os":["darwin","linux","win32"],"configPaths":["~/symphony/"]}}

Setup

On first use, read setup.md and establish integration boundaries before proposing commands or workflow edits.

When to Use

Use this skill when the user wants an unattended orchestration service that reads Linear issues, creates per-issue workspaces, and drives Codex in app-server mode until work reaches review or done states. It is optimized for Symphony rollout, workflow authoring, safety hardening, and day-2 operations.

Architecture

Memory lives in ~/symphony/. See memory-template.md for setup.

~/symphony/
|-- memory.md                # Activation policy, environment profile, and operating defaults
|-- workflow-notes.md        # WORKFLOW.md decisions, state map, and prompt policy
|-- incidents.md             # Runtime failures, retries, and mitigations
`-- run-history.md           # Launch evidence, validations, and release notes

Quick Reference

Use the smallest relevant file for the task.

TopicFile
Setup and activation behaviorsetup.md
Memory template and status valuesmemory-template.md
Upstream spec map and implementation checkpointsSPEC.md
Starter workflow contract used by the serviceWORKFLOW.md
Bootstrap and launch runbooksetup-runbook.md
WORKFLOW.md contract templateworkflow-template.md
Security hardening and trust checkssafety-guardrails.md
Incident triage and recoveryincident-playbook.md

Requirements

  • Repository access for the target project and a safe workspace root
  • Linear personal API key in LINEAR_API_KEY
  • OpenAI auth for Codex (OPENAI_API_KEY or equivalent codex login session)
  • Git remote credentials (GITHUB_TOKEN or SSH key access) for clone/fetch/push hooks
  • codex binary with app-server support
  • git for workspace bootstrap hooks
  • explicit user approval of target environment before unattended operation
  • Trusted environment policy approved by the user before unattended operation

Core Rules

1. Treat SPEC.md as the Contract

When implementation details are unclear, align with the upstream Symphony specification first. Do not invent incompatible state models, config keys, or agent-runner behavior.

2. Keep WORKFLOW.md Repository-Owned and Validated

All orchestration policy must live in versioned WORKFLOW.md front matter plus prompt body. Validate YAML and template variables before launch, because invalid workflow files halt dispatch.

3. Enforce Per-Issue Workspace Isolation

Map each issue identifier to a dedicated workspace key and run Codex only inside that directory. Never execute agent work in shared roots or outside the configured workspace boundary.

4. Respect State-Driven Orchestration

Dispatch only active tracker states, stop sessions on terminal states, and preserve idempotent recovery after restarts. A run can end in a workflow-defined handoff state, not only Done.

5. Autonomy Requires Explicit Environment Approval

Before enabling unattended operation, confirm the repository, tracker project, and workspace root are approved by the user. Start with conservative policy (approval_policy: on-request) and test-project rollout before broadening scope.

6. Apply Bounded Concurrency, Retries, and Safe Hooks

Use explicit concurrency ceilings and exponential backoff for transient failures. Retries must resume from existing workspace state instead of repeating completed investigation work. Allow only deterministic hooks that stay inside the issue workspace and avoid secret exfiltration patterns (curl | sh, arbitrary uploads, or parent-directory deletes).

7. Preserve Observability and Safety Evidence

Record launch config, workspace path, tracker state transitions, validation proof, and token/runtime metrics for every run. Operators must be able to reconstruct what happened without rerunning the issue.

Common Traps

  • Copying sample workflow statuses without matching the team's Linear workflow -> agents never dispatch or never stop.
  • Running hooks that write outside the issue workspace -> cross-issue contamination and unsafe side effects.
  • Using prompt templates with unknown variables -> attempt failures at render time.
  • Treating retries as fresh runs -> duplicated commits, repeated comments, and wasted tokens.
  • Starting unattended runs in untrusted environments -> elevated risk of accidental destructive actions.
  • Ignoring terminal-state cleanup -> stale workspaces consume disk and hide old state.

External Endpoints

EndpointData SentPurpose
https://api.linear.app/graphqlIssue metadata, state queries, and workflow updatesTracker polling, reconciliation, and issue-level orchestration
https://api.openai.comCodex app-server requests and model output payloadsAgent execution for implementation turns
https://github.comRepository clone/fetch/push traffic defined by workspace hooksPrepare and update per-issue code workspaces

No other data is sent externally unless the user adds additional integrations.

Security & Privacy

Data that leaves your machine:

  • Linear issue context required for dispatch and reconciliation
  • Codex request/response payloads needed for agent execution
  • Git remote traffic required by repository hooks

Data that stays local:

  • Orchestration notes and memory files in ~/symphony/
  • Workspace content under the configured root
  • Local logs and runtime snapshots

This skill does NOT:

  • bypass declared sandbox or approval policies
  • execute undeclared external endpoints
  • approve ambiguous hook scripts automatically
  • modify its own SKILL.md

Trust

This skill depends on OpenAI Codex APIs, Linear APIs, and your configured Git remote. Only install and run it if you trust those services with your repository and issue data.

Related Skills

Install with clawhub install <slug> if user confirms:

  • agent - Improve single-agent execution quality for scoped implementation tasks.
  • agents - Coordinate multiple agents with explicit ownership and handoff boundaries.
  • agentic-engineering - Enforce high-rigor workflows for autonomous software delivery.
  • workflow - Design robust repeatable workflows with clear gates and status transitions.
  • memory - Persist durable context and operating preferences across sessions.

Feedback

  • If useful: clawhub star symphony
  • Stay updated: clawhub sync

平台分布

OpenClaw

85.22%
按下载量换算3,122

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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