bittensor
✓Query Bittensor network using the Python SDK. Get metagraph data, subnet info, validator stats, and more. Use when user asks about TAO, subnets, validators, emissions, or staking.
Installation
SKILL.md
Query the Bittensor decentralized AI network with structured JSON output.
| metagraph.py | Subnet validators sorted by emission | --netuid, --top, --network | | subnets.py | List all subnets | --network |
"What's the emission on SN8?" Run metagraph.py and sum the emissions from topvalidators.
Query Bittensor network using the Python SDK. Get metagraph data, subnet info, validator stats, and more. Use when user asks about TAO, subnets, validators, emissions, or staking. Source: kennethashley/bittensor-skill.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/kennethashley/bittensor-skill --skill bittensor- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is bittensor?
Query Bittensor network using the Python SDK. Get metagraph data, subnet info, validator stats, and more. Use when user asks about TAO, subnets, validators, emissions, or staking. Source: kennethashley/bittensor-skill.
How do I install bittensor?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/kennethashley/bittensor-skill --skill bittensor Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/kennethashley/bittensor-skill
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01