Agent Action Rights
What an Agent may DO once it holds tool or API capability, as distinct from what it may read or learn: action taxonomy, effect vectors, reversibility, blast radius, and multi-action composition risk. AARS gives content permission and action permission separate, independently-evaluable axes.
Kiuvu ki nyekolwa
01
Content permission does not imply operational (tool/API) permission
02
A machine-readable action vector beyond a single risk score
03
Static tool metadata vs. runtime effect — the same tool, different arguments, different risk
04
Composition risk: individually-safe actions that combine into an unsafe capability
Minkanda mpembe ifwene
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Kimvuka kia spesifikasio kia kutangwa kwa masini mu diambu dia kusakula minsua mia kontenu kia AI ye masalu ma lisansi — tuka mu kutambula kwa AI ye minsua mia kontenu, tii kwa web ya zayi ilenda salakana mombongo kwa masini.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS ye AILP keti monisa ndingisa za kulonguka kwa AI za mayindu ma nda vana ndambu ya “ee kaka voti ve kaka” — kina AI kilenda longuka, tii mu ntinu nki, mu diambu dia nki nsadulu, ye ntangu nki mfutu.
- AICL-I v0.2: AI Ingestion & Capability Layer A five-component website architecture — manifest, corpus, capability, runtime control, governance — that lets AI, agents, and crawlers correctly ingest, invoke, and verify a site's knowledge and capabilities within explicit content, action, and authority boundaries.
- From Crawler Rights to Agent Authority: Extending AGIRIGHT from Content Governance to Protocol-Native AI Agents The bridge paper for AGIRIGHT's Agent & Protocol Rights family: why content permission, action permission, delegated authority, and inspection rights must be four separately-evaluated axes, not one.
- AARS v0.1 — Agent Action Rights Spectrum The full protocol draft behind the AARS page: an A0–A7 human-readable spectrum, a machine-readable action vector, and rules for composition risk and capability amplification.
- AGIRight.org Technical White Paper v0.2 — From AI Content Governance to Protocol-Native Agent & Authority Rights The site's current architecture document: six protocol drafts across two families (content & learning, agent & protocol rights), an integration layer, and an ethical-protection layer, plus the acceptance criteria this site update was built against.