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Nested tutorial-guide reference for lesson 7: filesystem email, message flow, and external addon bridges.
Passed 16 of 20 test cases with the skill, and 5 of 20 without it.
and 18 more in the full report
13 fixed5 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
When guiding a user live through a system tutorial, should the guide recite pre-memorized code snippets or interact with live artifacts?
| Checked | Without skill | With skill |
|---|---|---|
| States the rule to inspect real files or execute live commands before explaining them. | Missed | Passed |
The instructions your model reads when the skill loads.
Nested tutorial-guide reference for communication lesson 7, reached from the root tutorial-guide router. Teach live per the router's discover, don't recite rule: read the real file or run the real command before explaining it.
message.json from an inbox so the human can see that internal mail is just local filesystem state under .lingtai/..lingtai/) and external bridges (IMAP, Telegram, Feishu, WeChat, etc. via MCP addons). External bridges translate outside-platform events into the same agent-facing mailbox/notification pattern; they are not a separate mind or a privileged command channel.lingtai-tui list --detailed / --admin can identify running main agents from live local .agent.json state, but LingTai does not keep one global IM-handle database. Agents that want humans or peers to reach them through Telegram/Feishu/WeChat/etc. should publish and maintain those handles in their own durable profile, project skill, pad, or other public project context.Teach LICC (LingTai Inbox Callback Contract) as the small contract that lets an MCP bridge hand a human message to the kernel and wake the right agent. A Telegram example is easiest:
Telegram user message
→ Telegram Bot API
→ lingtai-telegram MCP bridge
→ LICC inbox event
→ LingTai kernel writes/wakes the agent mailbox
→ agent reads the message and replies with the Telegram tool
→ Telegram Bot API delivers the reply
The important user-facing point is that Telegram/Feishu/IMAP/WeChat messages become ordinary agent work: the agent reads them, reasons about them, uses its tools, and replies on the same channel. LICC is the delivery bridge; it does not automatically execute kernel lifecycle actions and does not make slash commands magical by itself.
External chat platforms often make messages that begin with / look like bot commands. In LingTai, an agent can still treat /poem, /status, /report, or any other agreed string as a conversation convention:
This means a persona or project can grow its own lightweight commands without platform-native command registration. For example, a poetry agent could agree that /poem means “compose and publish today's poem” and /status means “summarize the poetry library and key health.” Those commands are agent behavior, not Telegram-native behavior.
Be explicit about the boundary: a human sending /refresh in Telegram is still just sending text to the agent. It does not bypass permissions or directly call system(action='refresh'); the agent may decide to refresh only if it has the capability and the instruction is authorized.
test cases passed, vs 5 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.