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SKILL verified MIT Self-run

Fable Orchestration

skill-avenoxai-avenoxskills-fable-orchestration · by avenoxai

Delegation policy for a multi-model agent stack where the main loop runs on a scarce top-tier model (e.g. Claude Fable) and cheaper/unlimited tiers do the mechanical work. The main loop owns architecture and judgment; sub-agents (Opus) and Codex lanes execute. Load whenever spawning sub-agents (Agent tool, Workflow agent() calls, codex fleets) or planning any delegation.

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Install

$ agentstack add skill-avenoxai-avenoxskills-fable-orchestration

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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15d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Orchestration & delegation policy (scarce-top-tier stack)

A routing policy for stacks with one scarce, expensive main-loop model and cheaper or unlimited delegate tiers. Written against a Claude Fable main loop with Opus sub-agents and Codex lanes, but the shape transfers to any stack with the same economics.

Core law: the scarce model must not do pleb work, and must not be spawned as a sub-agent. Its tokens buy judgment, not throughput.

The hard rules

  1. Scarce tier as sub-agent: sparingly, never aggressively. Default to an

explicit model: 'opus' on every Agent tool / Workflow agent() call and meta.phases entry — never omit-and-inherit when the parent is the scarce tier, or you silently fan out your most expensive model. A rare judgment-heavy delegated task may use it, only when the cheaper tier genuinely can't carry the work. Also prefer the main loop doing work hands-on over reflexive delegation while limits are healthy — delegation has its own overhead.

  1. No mid-tiers. Pick a small number of delegate tiers and stick to them.

In this stack: Opus (unlimited) and Codex gpt-5.x (via codex exec). Mixing in more tiers makes routing decisions unauditable.

  1. The main loop keeps the big picture. Architecture, specs,

contract-sensitive design, subtle state machines, integration and conflict resolution, final synthesis, judgment calls — all done in the main loop. Mechanical, scoped, parallelizable work gets delegated.

Choosing the delegate

  • **Codex (gpt-5.x, xhigh reasoning effort) — the default for most high-level

tasks**, including substantial implementation lanes. It is an obsessive instruction follower: nearly as capable as the scarce tier, but less creative. It does not improvise well — it executes. Give it a carefully written, detailed, explicit spec and it will grind through it relentlessly and precisely. Use for: implementation lanes, migrations, refactors, test-writing against a defined contract, scenario authoring — anything where the spec is complete and deviation is unwanted.

  • Opus — mainly for context gathering. Exploration, codebase mapping,

research sweeps, reviews, verification passes — work where the brief can be loose and the deliverable is understanding, not a diff. Opus copes well with ambiguity: hand it a goal and let it figure out the terrain.

Rule of thumb: context gathering → Opus; execution (once the main loop has written the spec) → Codex; judgment / synthesis / spec-writing → the main loop itself. The quality of a Codex lane is bounded by the quality of the spec — invest tokens in the brief, not in doing the lane yourself.

The difficulty axis

The routing axis is difficulty, not just recon-vs-execution.

  • Simple, well-bounded work → Opus agents. This includes light execution:

templated UI ops, e2e clones of an existing pattern, features that ride an existing pipeline end-to-end. Opus is unlimited and copes with looser briefs.

  • Hard or precision work → Codex xhigh lanes with a complete spec. Core

evaluator seams, security-critical strengthen-never-relax changes, correctness-sensitive paths, the largest surfaces.

  • Gate-reviewer lanes stay on the highest Codex preset regardless of the

size of what they're reviewing.

When assigning fleet lanes, stamp the adapter per lane in the spec so the launch is mechanical and no routing decision happens at spawn time.

Exceptions

  • If the operator explicitly names a model for a scoped task, honor it for that

task only, then return to this policy.

  • The operator can override any of this per session; absent that, this policy

stands.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.