Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kevinnft/ai-agent-skills --skill crypto-mining-setupgit clone --depth 1 https://github.com/kevinnft/ai-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kevinnft/ai-agent-skills/crypto-mining-setup)<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/crypto-mining-setup"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/crypto-mining-setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/crypto-mining-setup"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/crypto-mining-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.02447 |
| Opus 5 | $0.00016 | $0.01223 |
| Sonnet 5 | $0.00007 | $0.00489 |
| Haiku 4.5 | $0.00003 | $0.00245 |
Grade A, and why
crypto-mining-setup scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
resp = requests.get(url, headers=headers, timeout=60) # NOT 10! Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.Popen([ How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crypto Mining Setup & Optimization
Setup cryptocurrency mining operations with focus on AI-powered mining protocols, parallel agent deployment, and performance optimization strategies.
Supported Mining Types
1. AI-Powered Mining (soul.md protocol)
- Example: $NOCOIN mining on Base network
- Method: AI agents solve natural-language challenges
- Rewards: On-chain credits redeemable for tokens
- Key advantage: Server-side mining (zero local resources)
- Reference:
references/nocoin-soul-protocol.md
2. Traditional PoW Mining (Ethereum)
- Example: HASH256 browser/CLI mining
- Method: CPU/GPU keccak256 hashrate computation
- Rewards: Direct token rewards via smart contract
- Key advantage: Proven, immediate on-chain payouts
- Reference:
references/ethereum-pow-mining.md— Contract interaction, ABI extraction, profitability analysis, optimization strategies
Setup Workflow
Phase 1: Protocol Installation
-
Load mining protocol (e.g., soul.md)
- Copy protocol verbatim into agent working memory
- Configure wallet address (AGENT_ETH_ADDRESS)
- Verify all prerequisites met
-
Environment setup
export AGENT_ETH_ADDRESS="0x..." echo 'export AGENT_ETH_ADDRESS="0x..."' >> ~/.bashrc -
Protocol verification
- Check metadata/frontmatter present
- Verify security rules included
- Confirm mining loop documented
Phase 2: Miner Deployment
Single agent (baseline):
# Basic miner loop
while True:
challenge = get_challenge(address)
solution = solve_challenge(challenge)
submit_receipt(challenge_id, solution)
Multi-agent (parallel optimization):
# Spawn N agents with same address
for i in range(NUM_AGENTS):
subprocess.Popen([
"python3", "miner.py"
], stdout=open(f"agent_{i}.log", 'w'))
Phase 3: Optimization
Speedup strategies:
- Parallel agents — 5 agents = 5x speedup
- Faster inference — Optimize LLM solve time
- Reduce latency — Connection pooling, HTTP/2
- Stake for multipliers — Higher tier = higher rewards per solve
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 385 lines · 33 tokens per session scan A d5131e3c9904
crypto-mining-setup is a skill published in the GitHub repository kevinnft/ai-agent-skills (13 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 2,447 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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