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zhihang9978

Teamgram BFF Aggregation

by zhihang9978 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
216
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install teamgram-bff-aggregation
Description
Complete reference for the BFF aggregation layer in Teamgram Server with all 27 RPC modules and 268 handlers implementing Telegram-compatible API endpoints.
Usage Guidance
This skill is documentation-only and appears coherent with its stated purpose. Before installing: (1) verify the source link in the SKILL.md (GitHub) matches a trusted upstream repository and license (SKILL.md claims Apache-2.0), (2) be aware that documentation-only skills are low risk today but could be updated later—re-review changelogs before allowing autonomous invocation if you have a high-sensitivity environment, and (3) if you need executable functionality, prefer getting code directly from the upstream project rather than relying on a documentation skill. The only minor irregularity is the registry header showing no source/homepage while SKILL.md includes a GitHub link—confirm the registry metadata if provenance matters to you.
Capability Analysis
Type: OpenClaw Skill Name: teamgram-bff-aggregation Version: 1.0.0 The skill bundle is a documentation-only reference for the Teamgram Server BFF (Backend For Frontend) layer. It contains no executable code, scripts, or environment requirements, and its content is limited to a list of RPC modules and API handlers (SKILL.md) for developer reference.
Capability Assessment
Purpose & Capability
The skill's name and description match the SKILL.md content (a comprehensive handler/module reference). It does not request unrelated binaries, credentials, or config paths. Minor metadata inconsistency: the registry header showed 'Source: unknown / Homepage: none' while the SKILL.md metadata includes a GitHub source/homepage (https://github.com/teamgram/teamgram-server). This is likely a packaging/manifest mismatch rather than malicious.
Instruction Scope
SKILL.md is documentation-only and does not instruct the agent to read system files, access environment variables, make network calls, or transmit data. The instructions are scoped to providing a reference list of RPC modules and handlers.
Install Mechanism
No install specification, no downloads, and no code files—lowest-risk model for a skill that is purely documentation.
Credentials
The skill declares no required environment variables, credentials, or config paths. The documentation itself does not access or reference secrets.
Persistence & Privilege
always is false and the skill is user-invocable; disable-model-invocation is false (the platform default). There is no request for permanent elevated presence or to modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install teamgram-bff-aggregation
  3. After installation, invoke the skill by name or use /teamgram-bff-aggregation
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug teamgram-bff-aggregation
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Teamgram BFF Aggregation?

Complete reference for the BFF aggregation layer in Teamgram Server with all 27 RPC modules and 268 handlers implementing Telegram-compatible API endpoints. It is an AI Agent Skill for Claude Code / OpenClaw, with 216 downloads so far.

How do I install Teamgram BFF Aggregation?

Run "/install teamgram-bff-aggregation" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Teamgram BFF Aggregation free?

Yes, Teamgram BFF Aggregation is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Teamgram BFF Aggregation support?

Teamgram BFF Aggregation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Teamgram BFF Aggregation?

It is built and maintained by zhihang9978 (@zhihang9978); the current version is v1.0.0.

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