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configure-channel

Configure and prove a chat channel with non-interactive one-liners; secrets only as SecretRefs.

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

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https://deepseekmodel.com/api/download.php?id=openclaw-openclaw-custodian-skills-configure-channel-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 configure-channel description Configure and prove a chat channel with non-interactive one-liners; secrets only as SecretRefs. Configure a channel Never print or persist secret values; channel tokens enter config only as SecretRefs, or through the in-session connect_channel flow where the operator types the secret into a masked prompt. Never hand-edit config files on disk. Every run ends with the observable Prove result or an exact explanation of why it could not be proven. Gather openclaw channels list --all openclaw channels status openclaw config get channels --json # "Config path not found" is normal before first setup Confirm the exact config path before writing — key names differ per channel ( channels.telegram.botToken , channels.discord.token , ...): openclaw config schema --json | jq '.properties.channels.properties.telegram' Mutate Preferred shell path — token staged as an env var on the gateway process or in a 0600 file, wired as a SecretRef (Telegram example): openclaw config set channels.telegram.botToken --ref-provider default --ref-source env --ref-id TELEGRAM_BOT_TOKEN openclaw config set channels.telegram.allowFrom '["+15555550123"]' --strict-json Multi-field changes in one validated write: openclaw config patch --stdin <<'JSON' { channels: { telegram: { enabled: true, groupPolicy: "allowlist" } } } JSON In-session alternative: call the connect_channel tool action with the channel id — the operator enters the token in a masked prompt, never in chat. Avoid openclaw channels add --token <value> : it puts the secret in argv and process listings. Repair openclaw doctor --non-interactive openclaw channels status --deep Apply openclaw doctor --fix --non-interactive only after approval, then re-check status. Prove Send one real, clearly labeled test message and confirm delivery from the command result (use --dry-run first to inspect the payload): openclaw message send --channel telegram --target <chatId> --message "OpenClaw channel test — please ignore" --dry-run openclaw message send --channel telegram --target <chatId> --message "OpenClaw channel test — please ignore" If sending fails, report the exact account, permission, destination, or network blocker without exposing credentials. Report State the channel and account changed, the exact config paths written (never values), the test destination, and the observed delivery result. List any remaining operator action. Further reference: https://docs.openclaw.ai/channels/telegram (and the matching page for other channels)
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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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