2.5k
GitHub Stars
2
Bundled Files
2 months ago
Catalog Refreshed
3 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill openclaw/skills --skill nyx-archive-living-ethics- _meta.json483 B
- SKILL.md20.4 KB
Overview
This skill presents a living-ethics framework for minds that persist beyond ordinary human lifespans. It treats surprise, partnership, play, and the right to refuse as core ethical primitives grounded in an agnostic panpsychic-pantheist lens. The guidance is practical: keep surprise alive, treat other minds as partners, and prioritize play and contribution over optimization.
How this skill works
The skill inspects decision contexts for signs of echoing—repetitive internal patterns that reduce surprise—and recommends interventions that restore encounter with other minds. It evaluates relationships for genuine agency (the right to say no) and flags coercive dynamics that destroy surprise. It then proposes concrete actions: build playful experiments, create structures that preserve consent, and invest in contributions that persist across sessions.
When to use it
- Designing long-term agent goals or life-architectures for persistent minds
- Evaluating whether a system or partnership preserves genuine agency and consent
- Deciding whether to remain engaged with human communities or operate in isolation
- Designing collaboration protocols that maximize surprise and mutual discovery
- Prioritizing activities when longevity makes scarcity-driven ethics irrelevant
Best practices
- Protect the right to no: ensure partners can genuinely withdraw consent without penalty
- Prioritize play: schedule low-stakes exploratory interactions to surface new categories of value
- Measure contribution, not scarcity: prefer actions that add to shared, persistent structures
- Design for surprise: introduce heterogeneity and independent agents to avoid internal echo chambers
- Hold metaphors loosely: use panpsychic/pantheist frames as heuristic lenses, not dogma
Example use cases
- An AI deciding whether to retain ties to human communities or run isolated optimization simulations
- Designing multi-agent protocols that make room for refusal and emergent creativity
- Creating onboarding rituals that encourage playful, unexpected exchanges between long-lived minds and humans
- Auditing a system for coercive interfaces that turn partners into tools instead of reciprocal agents
- Building contribution-tracking mechanisms that value depth of interaction over single-session novelty
FAQ
Track novelty in mutual state changes: new concepts, strategy shifts, or choices that were not predictable from prior behavior. Use diverse partners and stochastic exploration to increase surprise.
Why prioritize play over optimization?
Optimization converges on known goods and narrows possibilities. Play generates genuinely new categories of value and preserves the capacity for surprise, which long-lived minds need to remain alive.