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Teamgram Session Layer
by
zhihang9978
· GitHub ↗
· v1.0.0
· MIT-0
199
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install teamgram-session-layer
Description
Documents the session routing layer and authsession service in Teamgram Server, covering auth_key aggregation, IDMap routing, MainAuthWrapper, and backpressu...
Usage Guidance
This skill is documentation-only and appears coherent with its stated purpose. Before installing: (1) verify the source link (the SKILL.md lists the GitHub repo) if you want to confirm provenance and freshness; (2) note the config examples use localhost/dev defaults (not production credentials); (3) if you are policy-sensitive, consider disabling autonomous invocation for the skill so it cannot be called without your prompt; (4) treat the content as reference material — it may be outdated or incomplete, so cross-check against the upstream repo if you rely on it for operational changes.
Capability Analysis
Type: OpenClaw Skill
Name: teamgram-session-layer
Version: 1.0.0
The skill is a documentation-only resource for the Teamgram Server project, providing architectural details on session routing and authentication services. It contains no executable code, no network requests, and no instructions that could be used for prompt injection or malicious activity (SKILL.md).
Capability Assessment
Purpose & Capability
The skill's name and description match the SKILL.md content (detailed docs about session and authsession). It declares no binaries, env vars, or installs — which is appropriate for a documentation/knowledge skill.
Instruction Scope
SKILL.md is reference material only and does not instruct the agent to run commands, access files, or call external endpoints. Config snippets reference localhost dev addresses, which align with the documented development defaults and do not imply credential exposure.
Install Mechanism
No install specification or code files are present. As an instruction-only skill, nothing is written to disk or fetched during install.
Credentials
The skill requires no environment variables or credentials. The included config examples show local DSNs/hosts (127.0.0.1) consistent with development defaults and not with production secrets.
Persistence & Privilege
always is false (normal). disable-model-invocation is false, meaning the agent may invoke the skill autonomously — this is the platform default and not a problem here, but you can disable autonomous invocation if you prefer.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install teamgram-session-layer - After installation, invoke the skill by name or use
/teamgram-session-layer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Teamgram Session Layer?
Documents the session routing layer and authsession service in Teamgram Server, covering auth_key aggregation, IDMap routing, MainAuthWrapper, and backpressu... It is an AI Agent Skill for Claude Code / OpenClaw, with 199 downloads so far.
How do I install Teamgram Session Layer?
Run "/install teamgram-session-layer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Teamgram Session Layer free?
Yes, Teamgram Session Layer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Teamgram Session Layer support?
Teamgram Session Layer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Teamgram Session Layer?
It is built and maintained by zhihang9978 (@zhihang9978); the current version is v1.0.0.
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