Rustchain: Proof-of-Antiquity blockchain — vintage PowerPC hardware earns 2.5x mining rewards

Last updated: 2026-10-08 · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsblockchainbountiescryptocurrencydecentralizeddefidiscorded25519ergohacktoberfest

Quick Facts

Stars	851
Forks	590
Language	Python
Category	Agent Tool
License	Apache-2.0
Quality Score	60/100
Open Issues	178
Last Updated	2026-10-08
Created	2025-04-21
Platforms	python
Est. Tokens	~1517k

About Rustchain

RustChain DePIN for Vintage Hardware — AI-Augmented Proof of Real Machines The blockchain where old hardware outearns new hardware. And all hardware becomes old. It's just a matter of time. [![DOI](https://img.shields.io/badge/DOI-1

Compatible Skills

These tools work well together with Rustchain for enhanced workflows:

discord.py-self-mcp — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
llm_context_benchmarks — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
ScrumAgent — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)

Rustchain alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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