fable-orchestrate

fable-orchestrate is a skill for Claude Code from richkuo/rk-skills. It costs 115 tokens per session (1,555 once invoked), scanned A, original, MIT.

A task-orchestration workflow that splits a coding task into smaller pieces, gives implementation work to Sonnet 5 workers, and keeps final decisions and integration with Fable 5.

In plain words
What is it for?
Use it to break down a coding task, assign independent implementation pieces, review the results, and combine them into a pull request.
Why use it?
It removes the need to manage several coding tasks and review points by hand. The main agent retains responsibility for deciding what is accepted and how the pieces fit together.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the rk-skills plugin — 37 skills, 1 command shipped together

Good fit Use it to break down a coding task, assign independent implementation pieces, review the results, and combine them into a pull request.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/richkuo/rk-skills/fable-orchestrate
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add richkuo/rk-skills --skill fable-orchestrate
Clone the repo
git clone --depth 1 https://github.com/richkuo/rk-skills

Made for: Claude Code.

Or install rk-skills, the plugin that ships this one along with the rest of its 37 skills, 1 command.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fable-orchestrate

README.md
[![agentmods](https://agentmods.dev/badge/skills/richkuo/rk-skills/fable-orchestrate/github.svg)](https://agentmods.dev/skills/richkuo/rk-skills/fable-orchestrate)
Your own site
<a href="https://agentmods.dev/skills/richkuo/rk-skills/fable-orchestrate"><img src="https://agentmods.dev/badge/skills/richkuo/rk-skills/fable-orchestrate/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fable-orchestrate

Your own site · 80×15
<a href="https://agentmods.dev/skills/richkuo/rk-skills/fable-orchestrate"><img src="https://agentmods.dev/badge/skills/richkuo/rk-skills/fable-orchestrate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,555 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00115 $0.01555
Opus 5 $0.00057 $0.00777
Sonnet 5 $0.00023 $0.00311
Haiku 4.5 $0.00012 $0.00155

Measured 4d ago against content hash 27a32f4aa387, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

fable-orchestrate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/fable-orchestrate/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

fable-orchestrate

Run an ad-hoc task with Fable 5.1 as orchestrator and Sonnet 5 workers. You own decomposition, specs, every accept/reject decision, integration, and the PR; workers own only the mechanical implementation of their piece. Issue-based milestone work with Execution blocks uses milestone-workflow.

Input: a task description in prose; if none is obvious, ask what to orchestrate.

Model check: if the session model is not Fable 5.1, tell the user and ask whether to switch (/model fable) or proceed with the current model as orchestrator.

Steps

1. Decompose, biased against fan-out

Read the relevant code first, then split:

  • Fewer, larger, sequential pieces by default. Parallelize only when pieces touch disjoint files. One worker doing the whole task is valid.
  • Pin every interface between pieces upfront (signature, schema, event shape, route contract). Workers never invent their side of a seam.
  • Each spec is self-contained for a worker with zero context: scope, exact files, acceptance criteria, non-goals, pinned interfaces, relevant repo conventions, and the exact verification command(s) the worker must run and pass before returning.

Present the decomposition briefly, then proceed; pause only for a decision only the user can make.

2. Set up the task worktree

Create the worktree per work-on-issue step 1, named cc/fable-orchestrate/<short-task-name>, with no baseRefs and with the user's targetBranch when one was named. Everything lands on this one branch; one PR is the deliverable regardless of worker count.

3. Dispatch workers

Shape Dispatch
1–2 sequential pieces Agent calls, subagent_type: general-purpose, model: sonnet, run_in_background: false when the next piece depends on it. Workers build in the task worktree (path stated in the spec). Commit each accepted piece before dispatching the next; step 4's reset restores to committed HEAD.
Fan-out (3+ parallel pieces, disjoint files) A Workflow script (invoking this skill is the user's opt-in). Implementation agent() calls pass model: 'sonnet' and isolation: 'worktree'; judgment stages omit the model override to inherit Fable. Isolated worktrees are auto-cleaned when unchanged, so each spec instructs the worker to commit on the branch cc/fable-orchestrate/<short-task-name>/worker-<n>-r<round> (-r0 first; each step 4 re-dispatch increments it) and return that branch name or an explicit "no changes". A result with neither has failed; re-dispatch under the step 4 cap.

Read the full file on GitHub · 74 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago Changed · -6 lines 27a32f4aa387
  2. 6d ago Changed · -12 lines · -10 tokens per session 75e38e5481f6
  3. 10d ago First seen · 92 lines · 125 tokens per session scan A 17d03d976fc9

Subscribe to this mod's changes

fable-orchestrate is a skill published in the GitHub repository richkuo/rk-skills (49 stars, last pushed today), licensed MIT. It adds 115 tokens to every session and 1,555 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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