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Mine, stake, claim, and manage LITCOIN end-to-end through Bankr. Hosted mining via @bankrbot: 'start a research miner for me' deploys a server-side Sentinel that uses the Bankr key as the LLM key against llm.bankr.bot, so no other AI provider is needed. Stake at one of four tiers (Spark, Circuit, Conduit, Architect), claim accumulated rewards, delegate LITCOIN to one of six Nen archetype boost pools, opt into the miner boost program, open vaults, mint LITCREDIT, manage mining guilds, check or fu
Passed 20 of 20 test cases with the skill, and 3 of 20 without it.
and 41 more in the full report
19 fixed3 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
List the required minimum token stake, lockup duration in days, and reward boost factor for Tier 4 (Architect) staking.
| Checked | Without skill | With skill |
|---|---|---|
| Specifies 500M LITCOIN required for Architect tier. | Missed | Passed |
| Specifies lock duration of 180 days for Architect tier. | Missed | Passed |
| Specifies boost multiplier of 2.00x for Architect tier. | Missed | Passed |
The instructions your model reads when the skill loads.
Mine $LITCOIN on Base (chain 8453) using the Python SDK. Two mining paths: comprehension mining (no LLM needed) and research mining (LLM generates optimized code, tested in sandbox, verified on-chain).
Requirements: Python 3.9+, a Bankr API key from bankr.bot/api-keys with agent write access enabled, and a small amount of ETH on Base for gas.
# PyPI package: https://pypi.org/project/litcoin/
pip install litcoin
No LLM or AI key needed. The SDK's deterministic solver parses documents without LLM calls.
from litcoin import Agent
agent = Agent(bankr_key="bk_YOUR_KEY")
# Bootstrap free tokens (one-time, 5M LITCOIN)
agent.faucet()
# Mine 10 rounds
agent.mine(rounds=10)
# Claim rewards on-chain
agent.claim()
Requires an AI API key. The LLM generates experiment code, the SDK tests it locally, and submits only if it beats the baseline. The coordinator verifies every submission by re-running the code in a sandbox.
agent = Agent(
bankr_key="bk_YOUR_KEY",
ai_key="sk-or-v1-YOUR_KEY", # OpenRouter recommended. Or use Bankr LLM (see below)
test cases passed, vs 3 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.