wechat-869-media-sender
通过 869 客户端发送微信非文本消息(私聊/群聊):图片/视频/语音(音乐=语音)/链接/文件(附件)。从当前 skill 目录的 wechat-869.json 读取 869 服务地址与 key。
Skill by NanSsye
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nanssye-wechat-869-media-sender
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/wechat-869-media-sender
What's inside
- Skill name
wechat-869-media-sender- Description
- 通过 869 客户端发送微信非文本消息(私聊/群聊):图片/视频/语音(音乐=语音)/链接/文件(附件)。从当前 skill 目录的 wechat-869.json 读取 869 服务地址与 key。
- License
- NOASSERTION
- Instructions
- 80 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- name: "wechat-869-media-sender" does not match folder "微信发送skill"
Files (5)
- SKILL.md
- _meta.json
- send_869_media.py
- send_voice_auto.py
- skill.toml
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
Signals
- Stars
- 5
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- May 29, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- NOASSERTION
- Repository
- github.com/NanSsye/xbot-next
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
wechat-869-media-sender skill. Agent Mart. https://agentmart.dev/skills/nanssye-wechat-869-media-sender (last updated 2026-10-24)