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parchi-relay

Use Parchi Relay to control a real browser via the Parchi extension agent (WebSocket) or directly via JSON-RPC from a CLI/tooling workflow.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=0xsero-parchi-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name parchi-relay description Use Parchi Relay to control a real browser via the Parchi extension agent (WebSocket) or directly via JSON-RPC from a CLI/tooling workflow. Parchi Relay (How To Use It) This skill documents how to run the Parchi relay daemon, connect the browser extension as an agent, and use the CLI to drive browser automation. What You Get A local relay daemon ( /v1/rpc + /v1/extension ) that brokers calls. A browser extension agent that connects to the daemon over WebSocket and executes browser tools. A CLI ( parchi-relay / npm run relay ) that can: list agents pick the default agent list tools / call tools run an agent task and wait for completion Quickstart (Local) Build everything: npm install npm run build Start the relay daemon (terminal A): npm run relay:daemon -- --token=<YOUR_TOKEN> --host=127.0.0.1 --port=17373 Load the extension (Chrome): Open chrome://extensions Enable Developer mode Load unpacked: dist/ Open the extension sidepanel Settings -> Relay: Enable: On URL: http://127.0.0.1:17373 Token: <YOUR_TOKEN> Click Apply Confirm the agent is connected (terminal B): npm run relay -- agents --token=<YOUR_TOKEN> CLI Usage (Real Commands) The CLI talks to the daemon over HTTP JSON-RPC. Set env vars (recommended): export PARCHI_RELAY_TOKEN= "<YOUR_TOKEN>" export PARCHI_RELAY_HOST= "127.0.0.1" export PARCHI_RELAY_PORT= "17373" List agents: npm run relay -- agents Doctor (sanity-check daemon, auth, agent connection, tool forwarding): npm run relay -- doctor Get/set default agent: npm run relay -- default-agent get npm run relay -- default-agent set agent-123 List tools (on default agent or a specific agent): npm run relay -- tools npm run relay -- tools --agentId=agent-123 Call a tool: npm run relay -- tool getTabs --args= '{}' npm run relay -- tool getContent --args= '{\"mode\":\"text\"}' Run a full agent task and wait for completion: npm run relay -- run "On the active tab, extract the main headline." --tabs=active --timeoutMs=600000 RPC Surface (What The Relay Exposes) Relay daemon ( POST /v1/rpc , Authorization: Bearer <token> ): relay.ping agents.list agents.default.get agents.default.set { agentId } tools.list { agentId? } tool.call { tool, args, agentId? } agent.run { prompt, selectedTabIds?, agentId? } run.wait { runId, timeoutMs? } run.events { runId } Extension agent (WebSocket /v1/extension?token=... ): Sends: agent.hello (registers the agent) Receives: JSON-RPC requests (forwarded by daemon) Sends: JSON-RPC responses Can publish: run.event / run.done notifications (for streamed run telemetry) Troubleshooting agents returns [] : confirm daemon token matches extension token confirm you loaded dist/ (not packages/extension/ ) in the extension, Settings -> Relay should show connected status (and any error message) Tool calls fail due to policy: check the extension Settings -> Tool Permissions and Allowed Domains Notes For Production Use Keep the relay token private. Treat it like a local admin password. Bind to 127.0.0.1 unless you explicitly intend to expose it. If you expose it beyond localhost, add additional auth and transport security. Electron Agent Mode Parchi now supports a dedicated relay-native Electron agent: # Terminal A PARCHI_RELAY_TOKEN=<TOKEN> npm run relay:daemon # Terminal B PARCHI_RELAY_TOKEN=<TOKEN> npm run electron:agent Managed helper (recommended): npm run electron:secure -- start npm run electron:secure -- status npm run electron:secure -- stop Then select the Electron agent with: npm run relay -- agents npm run relay -- default-agent set <electron-agent-id> Useful methods: tool.call with electron.launch tool.call with electron.connect tool.call with electron.snapshot , electron.click , electron.type , electron.press
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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