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.
npx skills add kpab/claude-fable-5-skills --skill subagent-orchestrationgit clone --depth 1 https://github.com/kpab/claude-fable-5-skillsWrote 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.
[](https://agentmods.dev/skills/kpab/claude-fable-5-skills/subagent-orchestration)<a href="https://agentmods.dev/skills/kpab/claude-fable-5-skills/subagent-orchestration"><img src="https://agentmods.dev/badge/skills/kpab/claude-fable-5-skills/subagent-orchestration/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.
<a href="https://agentmods.dev/skills/kpab/claude-fable-5-skills/subagent-orchestration"><img src="https://agentmods.dev/badge/skills/kpab/claude-fable-5-skills/subagent-orchestration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.00599 |
| Opus 5 | $0.00048 | $0.00300 |
| Sonnet 5 | $0.00019 | $0.00120 |
| Haiku 4.5 | $0.00010 | $0.00060 |
Grade A, and why
subagent-orchestration 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subagent Orchestration
Fable 5 and 5.1 dispatch and sustain parallel subagents far more dependably than prior models. Used well this cuts wall-clock time and improves verification quality; used badly it burns tokens on coordination overhead. The patterns:
When to delegate
Split out a subtask when it is (a) independent of your current working context, (b) large enough to amortize the handoff, and (c) specifiable in a few sentences plus file pointers. Don't delegate tightly coupled edits — coordination costs exceed parallelism gains.
Coordination
- Launch independent subagents in the same turn and keep working while they run; don't block on the slowest one.
- Intervene only on signal: a subagent off-track or missing context it can't discover itself.
- Prefer long-lived subagents that carry context across related subtasks over respawning per subtask — repeated context loading is the dominant hidden cost.
- Harness shape that makes the first point possible: the launch tool returns immediately, each result comes back to the lead in a later user message when ready, and a separate tool lets the lead wait when it chooses to. The lead will often wait anyway; the savings come from the runs where it carries on.
- Batch independent tool calls. In coding and computer-use loops where the next reads are implied rather than named, 5.1 may issue one call per turn. Send a per-turn nudge — list what you need next, then request everything that doesn't depend on another result in this one response — as a turn-scoped system message appended after each batch of tool results, never by editing earlier turns.
Fresh-context verifiers
For checking finished work, a separate verifier subagent with a clean context outperforms self-critique: it can't share your blind spots because it doesn't share your assumptions. Give the verifier the specification and the output — not your reasoning — and have it report discrepancies against the spec at a defined cadence (every N components, every X hours) rather than once at the end.
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.
- 7d ago Changed · +2 lines · +21 tokens per session a5eb5e606354
- 11d ago First seen · 27 lines · 74 tokens per session scan A 24fa225c088f
subagent-orchestration is a skill published in the GitHub repository kpab/claude-fable-5-skills (17 stars, last pushed 9d ago), licensed MIT. It adds 95 tokens to every session and 599 once invoked, about $0.0005 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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