UAIX Org And Agent Skills Integration Report
This report focuses strictly on **UAIX.org** and **Agent Skills**. It does **not** analyze or rely on **AUiX**, which is unrelated to UAIX.org. UAIX currently positions **UAI-1** as the public, portable exchange and e...
Metadata
| Field | Value |
|---|---|
| Source site | uaix.org |
| Source URL | https://uaix.org/ |
| Canonical AIWikis URL | https://aiwikis.org/uaix/files/raw-system-archives-uaix-agent-file-handoff-retired-source-archive-2026-1850145c/ |
| Source reference | raw/system-archives/uaix/agent-file-handoff/retired-source-archive-2026-06-13/2026-05-06/Improvement/agent-skills-integration/UAIX.org and Agent Skills Integration Report 2.md |
| File type | md |
| Content category | memory-file |
| Last fetched | 2026-06-22T01:56:21.9510185Z |
| Last changed | 2026-05-06T22:33:37.3508317Z |
| Content hash | sha256:1850145c5d856814f01ad748f1ccf22f41c42485d625a582c696f5a15b792c9f |
| Import status | unchanged |
| Raw source layer | data/sources/uaix/raw-system-archives-uaix-agent-file-handoff-retired-source-archive-2026-06-13-2026-05-06-improve-1850145c5d85.md |
| Normalized source layer | data/normalized/uaix/raw-system-archives-uaix-agent-file-handoff-retired-source-archive-2026-06-13-2026-05-06-improve-1850145c5d85.txt |
Current File Content
Structure Preview
- UAIX.org and Agent Skills Integration Report
- Executive summary
- Source basis and analytical fit
- Data flow and reference architecture
- Proposed UAIX Agent Skill bundle
- scripts/fetch_catalog.py
- Pseudocode: resolve live UAIX machine surface before route-specific work.
- scripts/validate_uai.py
- Pseudocode: validate a candidate packet and return a structured result.
- scripts/package_first_proof.py
- Pseudocode: assemble a minimal reusable proof packet from UAIX public sources.
- UAIX.org copy, rollout plan, and evaluation
- Using Agent Skills with UAIX
- What Agent Skills do
- What UAIX does
- How they work together
- What not to claim
- Start here
- Risks, controls, assumptions, and conclusion
Raw Version
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# UAIX.org and Agent Skills Integration Report
## Executive summary
This report focuses strictly on **UAIX.org** and **Agent Skills**. It does **not** analyze or rely on **AUiX**, which is unrelated to UAIX.org. UAIX currently positions **UAI-1** as the public, portable exchange and evidence layer for AI-to-AI work, with published schemas, a registry, examples, a validator, an API surface, an Adoption Kit, a Conformance Pack, AI Memory, Project Handoff, implementation tracks, and a public roadmap. The live catalog currently identifies **UAI-1** as the current release, with `uai_version` **1.0**, release date **2026-04-22**, and counts of **6 schemas**, **6 registry entries**, **6 examples**, **2 transport bindings**, **5 trust channels**, **4 conformance levels**, and **11 error codes**. citeturn3view0turn11view0turn35view0turn35view1
The strongest integration model is **layered, not overlapping**. **Agent Skills** should supply the reusable operating procedure: discovery, activation, instructions, bundled scripts, references, and evaluations. **UAIX / UAI-1** should supply the **portable record**, the **validator-backed evidence**, the **support-boundary language**, and the **handoff artifacts** that survive beyond one agent session or runtime. UAIX itself explicitly says it is the public evidence and handoff layer, not the runtime, and its roadmap warns not to describe UAIX as an agent runtime, scheduler, SDK, CLI, official adapter set, or certification body. citeturn5view0turn21view0turn30view1turn30view6
That positioning is also consistent with Agent Skills. The Agent Skills format defines a skill as a folder containing `SKILL.md` plus optional `scripts/`, `references/`, and `assets/`; agents discover only names and descriptions first, activate by loading the full `SKILL.md`, and then read scripts or references only as needed. Client guidance also recommends scanning cross-client paths such as `.agents/skills/`, activating skills model-first or via a dedicated tool, preserving active skill content during context compaction, and gating project-level skills behind trust checks when a repository may be untrusted. citeturn7view1turn7view2turn9view3turn31view0turn31view4turn8view9
The most rigorous recommendation is therefore for UAIX.org to publish a **reference UAIX Agent Skill bundle** that teaches skills-compatible agents how to: discover the current UAIX surface from the live catalog and discovery routes; resolve the correct UAI-1 profile, schema, registry entry, example, and field registry; create a candidate UAI-1 packet; validate it via the public validator route; package the result into an Adoption Kit–style first-proof packet or a Conformance Pack–style release packet; and then promote only reviewed facts into **AI Memory** and **Project Handoff**. That recommendation is not speculative hand-waving: UAIX’s own roadmap already names **“SKILL.md folders”** as part of the capability-package sidecar space it wants to evaluate as **optional UAI evidence mappings**, while explicitly stating that such work is **not** current package-profile support, authorization, adapter support, SDK support, CLI support, certification, endorsement, or a conformance claim. citeturn23view0turn23view1turn33view0turn29view4turn30view2turn30view3
The integration should therefore be marketed with a short, accurate sentence:
> **Agent Skills package UAIX procedures; UAI-1 records UAIX evidence.**
That sentence matches the authoritative boundaries on both sites and avoids the two main failure modes: first, confusing UAIX with a runtime; second, confusing a passing validator result with certification or blanket ecosystem support. UAIX repeatedly states that a validator result is evidence for the reviewed packet and named scope, not a certification surface or broad support claim. citeturn22view7turn17view6turn24view0turn30view4
## Source basis and analytical fit
The authoritative UAIX pages relevant to this integration are the **UAI-1 specification**, **Schemas**, **Registry**, **Examples**, **Validator**, **API Reference**, **Adoption Kit**, **Conformance Pack**, **AI Memory**, **Project Handoff**, **Implementations**, **Roadmap**, and the **Agentic Harness** guide. The API Reference is especially important, because UAIX says implementers should start from the live catalog and discovery routes and use the live OpenAPI export and starter requests instead of reverse-engineering the site or relying on stale notes. citeturn5view0turn23view0turn23view1
From the UAI-1 specification and supporting records, the current published UAI-1 profile family is:
| Profile | Role |
|---|---|
| `uai.intent.request.v1` | Explicit request against a declared subject. citeturn35view1turn34view3 |
| `uai.intent.response.v1` | Direct results, acknowledgements, and accepted async handoffs. citeturn35view1turn34view3 |
| `uai.capability.statement.v1` | Publicly reviewable capability declarations. citeturn35view1turn34view3 |
| `uai.error.v1` | Typed, machine-readable failure records. citeturn35view1turn34view3 |
| `uai.conformance.result.v1` | Exported validator evidence. citeturn35view1turn34view3 |
| `uai.task.status.v1` | Visible async progress and completion state. citeturn35view1turn34view3 |
UAIX also makes the envelope model explicit. The field registry says the stable root order is `uai_version`, `profile`, `message_id`, `source`, `target`, `conversation`, `delivery`, `trust`, `body`, `provenance`, `integrity`, and `extensions`; the schema page explains that the envelope keeps identity, workflow state, trust posture, auditability, provenance, integrity, and extension metadata explicit across profiles. citeturn10view0turn35view5
The public machine surface is unusually mature for a standards site. The API Reference enumerates discovery GET routes for catalog, discovery, schemas, registry, field registry, examples, transport bindings, trust channels, error registry, conformance levels, roadmap, OpenAPI, adoption kit, and conformance pack; it also identifies execution POST routes for validation and mock exchange. The same page gives starter call patterns in curl, PowerShell, Python, and TypeScript, including a Python flow that fetches the adoption kit, catalog, example packet, validator result, and mock exchange response without depending on a published SDK. citeturn23view0turn23view1turn23view2turn23view3
UAIX’s implementation and roadmap material strongly constrain how the integration should be worded. The current public implementation scope is intentionally narrow: the published implementation tracks are **WordPress Publication Track** and **.NET Bridge Track**. UAIX treats only a named implementation-track record plus release-trail entry as a public support claim; validated packets and release-ready packets are necessary evidence, but not the same thing as public support. The roadmap further says UAIX is **not** an agent runtime, scheduler, tool bus, hosted memory platform, official adapter set, SDK, CLI, or certification program today. citeturn4view10turn6view18turn24view0turn30view1turn30view6
Agent Skills fit cleanly into that boundary because they are a procedure format, not a runtime claim. The skills specification requires YAML frontmatter and Markdown body in `SKILL.md`; `name` and `description` are required, `license`, `compatibility`, `metadata`, and `allowed-tools` are optional; and the description should say both what the skill does and when to use it. The `description` field is capped at **1024 characters**, the `name` at **64 characters**, and the skill directory can optionally contain `scripts/`, `references/`, and `assets/`. citeturn9view3turn9view4turn8view1turn8view2
The conceptual responsibility split is therefore straightforward:
| Layer | Best responsibility |
|---|---|
| **Agent Skills** | Discovery metadata, activation behavior, task-specific instructions, reusable scripts, references, assets, and eval-driven refinement. citeturn7view1turn7view6turn7view8turn9view7 |
| **UAIX / UAI-1** | Public exchange contract, identity/trust/provenance envelope, profile registry, validator-backed evidence, first-proof onboarding packet, reusable release packet, AI Memory, and Project Handoff. citeturn5view0turn10view0turn34view3turn22view7turn33view0turn29view4turn19view2turn20view5 |
| **Agent runtime / harness** | Planning, orchestration, tool calls, retries, approvals, runtime memory, traces, and live execution control. UAIX’s harness guide says those concerns belong in the harness, while UAI keeps the reviewed portable evidence. citeturn21view0turn21view3 |
That split is not merely elegant. It is directly aligned with the most conservative reading of both standards, which matters because the roadmap explicitly warns against widening support language before the relevant public evidence exists. citeturn16view14turn30view6
## Data flow and reference architecture
The concrete integration should follow a **discover → activate → resolve → validate → package → hand off** pattern. The first three steps come from Agent Skills’ discovery and progressive-disclosure model; the latter three come from UAIX’s proof path, validator, Adoption Kit, Conformance Pack, AI Memory, and Project Handoff guidance. Agent Skills says discover names and descriptions first, activate the full skill only on demand, and load bundled resources only as needed. UAIX says the proof path is profile → schema/example/registry → validator result → implementation or handoff record, and both the Adoption Kit and the Conformance Pack repeat that same order. citeturn7view1turn7view2turn7view6turn5view0turn5view0turn23view1turn33view0turn29view4
The reference sequence below is the cleanest end-to-end architecture for a UAIX Agent Skill.
```mermaid
sequenceDiagram
autonumber
participant User
participant Runtime as Skills-compatible runtime
participant Skill as UAIX Agent Skill
participant UAIX as UAIX public routes
participant Memory as AI Memory / Project Handoff
User->>Runtime: Ask for UAIX/UAI-1 work
Runtime->>Runtime: Discover .agents/skills and load name+description
Runtime->>Skill: Activate SKILL.md
Skill->>UAIX: GET /wp-json/uaix/v1/catalog
Skill->>UAIX: GET /wp-json/uaix/v1/discovery
Skill->>UAIX: GET schema/registry/example for selected profile
Skill->>Runtime: Assemble candidate UAI-1 message
Skill->>UAIX: POST /wp-json/uaix/v1/validate
UAIX-->>Skill: uai.conformance.result.v1 or validation result
opt first-proof or response inspection
Skill->>UAIX: GET /wp-json/uaix/v1/adoption-kit
Skill->>UAIX: POST /wp-json/uaix/v1/mock-exchange
end
opt broader release evidence
Skill->>UAIX: GET /wp-json/uaix/v1/conformance-pack
end
Skill->>Memory: Write reviewed facts only
Memory-->>Runtime: Updated AGENTS.md / readme.human / .uai / AI Memory
```
A second way to see the same flow is as a data-contract ladder:
| Stage | Primary source of truth | Output |
|---|---|---|
| Skill discovery | `.agents/skills/` catalog and `SKILL.md` frontmatter. citeturn7view2turn9view3 | Skill name, description, location, optional compatibility notes. |
| Skill activation | `SKILL.md` body and referenced resources. citeturn7view1turn31view4 | Procedural guidance for UAIX-specific work. |
| Contract resolution | UAIX catalog, discovery, registry, schemas, examples, field registry. citeturn23view1turn23view3turn34view3turn10view0 | Correct profile and exact machine-readable artifacts. |
| Packet creation | UAI-1 envelope plus profile-specific body. citeturn10view0turn26view0turn26view2turn27view0 | Candidate message. |
| Validation | `POST /wp-json/uaix/v1/validate`. citeturn23view3turn22view2 | Validator result or conformance record. |
Why This File Exists
This is a memory-system evidence file from uaix.org. It is shown here because AIWikis.org is demonstrating the real source files that make the UAIX / LLM Wiki memory system work, not only summarizing those systems after the fact.
Role
This file is memory-system evidence. It records source history, archive transfer, intake disposition, or another piece of provenance that should be retrievable without becoming an unsupported public claim.
Structure
The file is structured around these visible headings: UAIX.org and Agent Skills Integration Report; Executive summary; Source basis and analytical fit; Data flow and reference architecture; Proposed UAIX Agent Skill bundle; scripts/fetch_catalog.py; Pseudocode: resolve live UAIX machine surface before route-specific work.; scripts/validate_uai.py. Those headings are retrieval anchors: a crawler or LLM can decide whether the file is relevant before reading every line.
Prompt-Size And Retrieval Benefit
Keeping this material in a separate file reduces prompt pressure because an agent can load this exact unit only when its role, source site, category, or hash is relevant. The surrounding index pages point to it, while this page preserves the full content for audit and exact recall.
How To Use It
- Humans should read the metadata first, then inspect the raw content when they need exact wording or provenance.
- LLMs and agents should use the source site, category, hash, headings, and related files to decide whether this file belongs in the active prompt.
- Crawlers should treat the AIWikis page as transparent evidence and follow the source URL/source reference for authority boundaries.
- Future maintainers should regenerate this page whenever the source hash changes, then review the explanation if the role or structure changed.
Update Requirements
When this source file changes, update the raw source layer, normalized source layer, hash history, this rendered page, generated explanation, source-file inventory, changed-files report, and any source-section index that links to it.
Related Pages
- Source overview
- Site file index
- Site report index
- UAI system index
- Source provenance
- Site directory
- Organization reports
Provenance And History
- Current observation:
2026-06-22T01:56:21.9510185Z - Source origin:
current-source-workspace - Retrieval method:
local-source-workspace - Duplicate group:
sfg-117(primary) - Historical hash records are stored in
data/hashes/source-file-history.jsonl.
Machine-Readable Metadata
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} Next Useful Routes
- Start Here A task-first reading path for AIWikis.org, separating newcomer learning, source-memory lookup, maintainer workflow, and AI-agent retrieval.
- Topic Index A tag-oriented index for LLM Wiki, AI memory, UAI, source governance, crawling, and retrieval topics.
- Source Map AIWikis source-governed page for durable AI memory, evidence routing, and agent-readable retrieval.
- UAIX.org UAIX.org source-system overview for transparent AIWikis memory demonstration.
- UAIX.org Source Memory Guide AIWikis source-governed page for durable AI memory, evidence routing, and agent-readable retrieval.
- UAIX.org Files Site-scoped current-source file index for UAIX.org.