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Rohit Ghumare
ed6d0c0196
* feat(phase-13/22): teach portable agent skill contracts Agent skills need a portable contract before host-specific metadata and runtime policy can be reasoned about. * fix(phase-13/23): make the ecosystem capstone accurate The capstone should model current A2A operations, portable artifact metadata, and deterministic trace timing. * feat(phase-13/24): teach skill discovery and disclosure A useful skill catalog needs explicit scope precedence and bounded progressive disclosure before instructions are loaded. * feat(phase-13/25): teach invocation policy and routing Human, model, application, and skill activation need separate policy decisions before relevance ranking can be trusted. * feat(phase-13/26): teach skill sandbox and trust boundaries Skill instructions are untrusted input, so authority must remain host-owned and every filesystem, network, and command boundary must fail closed. * feat(phase-13/27): add the skill release gate A distributable skill needs adversarial structure, routing, safety, artifact, provenance, installation, and portability evidence before release. * feat(skills): install and render complete skill bundles Progressive-disclosure skills must keep companion references, scripts, assets, and evals intact across discovery, installation, and lesson rendering. * docs(curriculum): index the agent skills mini-course The expanded Phase 13 sequence needs consistent lesson links, durations, translations, and shared terminology across every learner entry point. * feat(certification/11): teach stateless MCP integration Certification learners need the same stateless wire model as the production curriculum. * feat(phase-11/14): modernize MCP protocol contracts The foundational MCP lesson must no longer teach the removed session lifecycle. * fix(phase-13/01): align tool terms with stateless MCP The tool interface introduction should point to the current protocol vocabulary. * feat(phase-13/06): teach stateless MCP fundamentals Learners need the current per-request contract before building clients or servers. * feat(phase-13/07): build a stateless MCP server The server lab should model the protocol that new implementations actually ship. * feat(phase-13/08): build a stateless MCP client The client lab must negotiate every request without relying on session state. * feat(phase-13/09): teach current Streamable HTTP Transport examples need the current POST-only lifecycle and notification behavior. * feat(phase-13/10): teach stateless resources and prompts Resource and prompt discovery must reflect stateless cache and result contracts. * feat(phase-13/11): teach per-request sampling Sampling calls must carry current capabilities and stateless response semantics. * feat(phase-13/12): teach roots and elicitation retries Elicitation retries and roots handling need current capability and MRTR boundaries. * feat(phase-13/13): teach stateless MCP tasks Task storage and subscriptions must survive cross-instance stateless requests. * feat(phase-13/14): update MCP Apps contracts Apps learners need current bridge, subscription, and discovery boundaries. * feat(phase-13/15): update MCP threat boundaries Threat modeling must cover current routing and MRTR state boundaries. * feat(phase-13/16): update MCP OAuth contracts OAuth examples must bind issuers and resources while using current errors. * feat(phase-13/17): update gateway and registry contracts Registry admission must separate publication identity from runtime discovery. * feat(phase-13/18): teach production MCP authentication Production auth should implement real PKCE, CIMD, and resource-bound caching. * docs(phase-13/22): add a runnable skill quickstart Beginners need an exact repository-root path from bundle inspection to host use. * fix(phase-13/23): make the capstone stateless The ecosystem capstone must compose the same current contracts taught upstream. * docs(phase-13/24): clarify host discovery limits Learners should distinguish known context budgets from host fallback behavior. * docs(phase-13/26): clarify sandbox prerequisites The safety lab needs explicit prerequisites and a viable conceptual fallback. * docs(phase-13/27): add real-host release evidence A production claim should require installed-host evidence beyond deterministic fixtures. * docs(phase-16/02): update MCP legacy comparison The interoperability comparison should use the current stateless MCP lifecycle. * feat(phase-19/13): modernize the MCP registry capstone The production capstone must separate Registry publication from stateless runtime discovery. * docs(curriculum): index agent skills and stateless MCP Learners need one coherent route through the skills track and current MCP sequence. * feat(skills): add a focused agent skills learner path A dedicated route removes placement and navigation friction for focused learners. * feat(mcp): add production engineering track * fix(cert-11): harden MCP integration contract * fix(phase-11-14): classify MCP handler failures * fix(mcp-07): validate JSON-RPC request identifiers * fix(mcp-08): reuse strict response decoding * fix(mcp-09): harden HTTP transport boundaries * fix(mcp-11): isolate returned tool descriptors * fix(mcp-12): make continuation state single-use * fix(mcp-14): align lesson response metadata * fix(mcp-15): expire and consume continuation state * fix(mcp-16): bind OAuth enrollment and code exchange * fix(mcp-18): enforce redirect and code lifetimes * fix(mcp-23): validate task identifiers * fix(skills-24): clarify discovery boundaries * fix(skills-25): deny unknown invocation actors * fix(skills-26): validate approval policy shape * fix(mcp-28): terminate unsafe cursor pagination * fix(mcp-29): preserve completed request state * fix(mcp-30): require secure remote endpoints * fix(mcp-31): strengthen conformance checks * fix(agent-skills): align route prerequisites * fix(scripts): harden skill bundle installation * fix(site): validate learning and artifact boundaries * fix(course): address review edge cases * fix(mcp): tighten notification and redirect validation * fix(mcp): secure reproducible lesson state * fix(mcp): use required lesson header comments
Glossary
Two resources to cut through the noise:
- terms.md - 60+ AI terms explained. What people say vs what it actually means.
- myths.md - 20 common AI misconceptions busted with what's actually going on.
Each term entry follows the pattern:
- What people say - the common (often wrong) understanding
- What it actually means - the real definition
- Why it's called that - origin of the name (when interesting)