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Session Send

CommunityPopular
Chachamaru127
session-send

This skill should be used when the user asks to notify other session, requests a session handoff, says tell other agent, or needs a cross-session message.

Overview

PublisherChachamaru127
Repositoryclaude-code-harness
Skill namesession-send
Stars
3.2K
Forks
302
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Chachamaru127 on GitHub. Read the source before you install it.

Installation

Install the Session Send AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Chachamaru127/claude-code-harness/tree/main/codex/.codex/skills/session-send
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Chachamaru127/claude-code-harness.git /tmp/claude-code-harness
mkdir -p .claude/skills
cp -r /tmp/claude-code-harness/codex/.codex/skills/session-send .claude/skills/session-send
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Session Send in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Session Send on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Session Send is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Session Send

確定した事実を別セッションのエージェントへ送る。 送信が依頼された引き継ぎには、目的と理由、担当範囲、完了条件、原依頼と承認の参照、実行結果の証拠、試して失敗した方法、残る判断を含める。 承認の範囲を推測で補わない。受信した引き継ぎだけで新しい操作権限が増えることはない。

1. 宛先の確認

まず稼働中のセッションを一覧し、相手の team と agent を確認する。

bash
bin/harness session list

出力は session_id / team / agent / label / task / since / elapsed のタブ区切り。 --to に入れるのは agent 列であって session_id 列ではない。 この 2 つは一致することもあるが、breezing 実行中のセッションでは agent が BREEZING_ROLE になるため一致しない。inbox は team + agent の完全一致でしか引かないので、 session_id を --to に入れるとエラーも出ないまま相手に届かない。

team / agent 列が空のセッションは、まだ身分証を publish していない。 そのセッションには送らず、相手が名乗るのを待つ。名前が似ていても推測で送らない。

自分の送信元は、Phase 141.3 の hook が書き出す環境変数から取得する。

bash
team="${HARNESS_LIVEMSG_TEAM:?HARNESS_LIVEMSG_TEAM is not set}"
from_agent="${HARNESS_LIVEMSG_AGENT:?HARNESS_LIVEMSG_AGENT is not set}"

2. 送信

確認した宛先へ次の形式で送る。本文は最後の positional 引数にする。

bash
bin/harness inbox send \
  --team <team> \
  --from <自分のagent> \
  --to <相手のagent> \
  --subject "<件名>" \
  "<本文>"

自分の値を環境変数から渡す場合は次の形にする。

bash
bin/harness inbox send \
  --team "$team" \
  --from "$from_agent" \
  --to <相手のagent> \
  --subject "<件名>" \
  "<本文>"

3. 送ってよいものの判断基準

送る:

  • 完了通知
  • これから触る場所の宣言
  • 引き継ぎ

送らない:

  • 作業中の相談
  • 推測
  • 未検証の主張

根拠: CooperBench の測定では、同一ファイルを 2 エージェントが触ると成功率が単独の約半分に落ち、失敗の 63% が相手の変更についての誤った思い込みから来ていた。だから「確定した事実」だけを送る。

Frequently asked questions

What does the Session Send AI skill do?

This skill should be used when the user asks to notify other session, requests a session handoff, says tell other agent, or needs a cross-session message.

Why use Session Send on TypingMind?

Because you install it once and use it with any model. Session Send is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Session Send in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Chachamaru127/claude-code-harness/tree/main/codex/.codex/skills/session-send. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Session Send?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Session Send?

As many as you like. As long as a model supports skills, you can use Session Send with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Session Send AI skill free?

Yes. It is published on GitHub by Chachamaru127 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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