ai-agents-meta-corelisted
Install: claude install-skill Sheshiyer/skill-clusters
# AI Agents Meta Core
Shared model for the `ai-agents-meta` cluster. The planning, orchestration, loop, audit, and
cost spokes all depend on these interlocking ideas — keep them consistent here so no spoke
contradicts another.
## 1. The decision this cluster turns on: eval-first × default-deny autonomy
Every spoke is an answer to one question: **how much can this agent do on its own, and how do
we know it did it right?** The cluster's stance is two coupled rules:
```
Plan ──gated by──> Eval ──authorizes──> Autonomous step ──bounded by──> Tool / loop budget
```
- **Eval-first** — no step that an agent runs unattended ships without a *gate that can fail
it* (a test, a review, a schema/assertion, a screenshot diff). The gate is designed *before*
the step, not bolted on after. → `agentic-engineering`, `dynamic-workflow-mode`, `continuous-agent-loop`
- **Default-deny autonomy** — an agent gets the **narrowest** tool set, permission, and loop
budget that lets the gated step pass. Widening any of them (a new tool, a higher iteration
cap, write access) is a governance change worth stating out loud. → `team-agent-orchestration`, `agentic-os`
**Rule:** if you can't name the gate that fails the step, the step isn't ready to be
autonomous — drop it back to a human checkpoint.
## 2. The agent stack (what the audit spokes inspect)
Agent failures localize to a layer. Reason top-down before patching:
| Layer (top → bottom) | Typical failure | Spoke |
|---|---|---|
| Prompt /