Fable Foreman is a Claude Code skill that turns your leading Claude model into a team lead, routing tasks to cheaper Claude subagents or OpenAI Codex workers based on capability classes with blind verification.

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Last updated

2026-07-19

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FR-AI / ANALYSIS

Why it is worth attention

It implements a multi-agent system with cost discipline and verification that addresses common runaway cost problems, using runtime model probing and capability-class routing that never needs updating for new models.

Who it is for

  • Claude Code users managing complex coding tasks
  • AI engineers seeking cost-effective multi-agent workflows
  • Developers wanting automated verification of delegated work

Use cases

  • Multi-file or multi-stage coding projects
  • Task delegation with quality verification at lower cost
  • Cost-controlled parallel execution using a mix of Claude and OpenAI Codex
  • Safe automated refactoring with blind verification of changes

Strengths

  • Routes by capability class (frontier, workhorse, fast) not model IDs, so new model releases require zero skill updates
  • Blind verifier with fresh context cross-checks worker output, preventing overconfidence
  • Respects budget with sequential dispatch, announced fan-outs, and visible degradation under quota pressure without lowering quality bar
  • No configuration files or enforcement scripts—one skill, three agent roles, and rules a frontier model follows

Considerations

  • Full orchestration requires Claude Code and proper installation of both skill and agent files; claude.ai/Desktop runs only weaker discipline mode
  • Windows plugin installation is broken due to a Claude Code bug (EPERM, not planned to fix); use paste-in method instead
  • Single conversation model same-model self-review (discipline mode) is weaker than cross-model blind verification

README quick start

Fable Foreman

Your strongest model shouldn't be swinging the hammer.

Built in public by DontSleepOnAI — the story behind this skill (including the five-round adversarial review where OpenAI's newest model tore apart the first draft) lives there.

Fable Foreman turns whichever frontier-class Claude model leads your session into a team lead: it plans, routes each task to the cheapest worker that clears the quality bar — Claude subagents or OpenAI Codex CLI workers, auto-detected — and, in full orchestration mode, refuses to accept meaningful changes until a blind, fresh-context verifier reproduces the evidence. (Environments without subagents get an honest reduced-assurance mode that says so.)

No dated model IDs in routing policy. No configuration files. No enforcement scripts. One skill, three agent roles, and a set of rules good enough that a frontier model actually follows them.

"Fable" is where it started, not what it needs. The foreman seat is a capability class, so any frontier-class Claude runs the skill identically — Opus leads it exactly as Fable does, with the same routing tree, gates, and verification contract. That holds whether an Opus session invokes the skill directly or a Fable session falls back to Opus mid-run; the skill re-probes its own seat and carries on rather than routing off a stale identity.

Why

Anthropic's own engineering shows both sides of the ledger. Their multi-agent research system writeup found an orchestrator-plus-cheaper-subagents design strongly outperformed single agents — an Opus lead with Sonnet workers, exactly this skill's shape — while consuming roughly 15x the tokens of a single chat, which is why they conclude multi-agent work only pays for high-value tasks. Anthropic's own cost guidance likewise recommends cheaper-tier teammates under a stronger lead as the default for multi-agent work. And the community has receipts for what happens without discipline — runaway-subagent cost stories are a genre of their own on every AI-coding forum, which is exactly why this skill bounds crew sizes, retries, and spend announcements the way it does.

The difference between those two outcomes is not orchestration machinery — it's **routing judgment and verification disciplin

Description

Turn your strongest Claude model into a team-lead orchestrator: it plans and reviews while cheaper Claude or Codex workers execute — with blind verification before anything counts as done.

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