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fable-orchestrator

Fable 5.1 orchestrates. GPT-5.6 Luna and DeepSeek V4 Flash implement.

AI EngineeringGive agent toolsBuild agent workflow (SDK)Shell
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创建于 2026-09-02 · 更新于 2026-10-15 · 今日第 16042 名

codejunkie99/fable-orchestrator 排名第 16,042,有 615 个星标。

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codejunkie99/fable-orchestrator 排名第 16,042,此处有 8 个同类条目;aperoc/toolkami 排名第 16,041。

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关键参数与规格
关键参数与规格
参数值
语言Shell
类别AI Engineering
子类别Give agent tools,Build agent workflow (SDK)
关键词Agent-ready APIs, Multi-model workflow, Planning, Skills
星标数615
分叉数110
贡献者0
创建日期2026-09-02
更新日期2026-10-15
1 天星标数0
7 天星标数1
排名16,042
上次排名15,842
排名变化-200
7 天星标排名11,155
上次 7 天星标排名11,209
7 天星标排名变化54
总星标排名16,461
上次总星标排名16,436
总星标排名变化-25
README 摘录

Fable orchestrator Fable is a small, local-first routing skill for Codex. 1 plans and adjudicates; it does not write code or own the workspace. Codex remains the runtime and delegates bounded implementation work to OpenCode Go agents: GPT-5. DeepSeek V4 Flash handles loops, repeated iteration, and high-throughput implementation. 1 remains outside the implementation graph for planning and final adjudication. The skill consumes the callable and agents supplied by Codex Router. It does not ship a proxy, dashboard

, model catalog, credential store, or API key. Configure OpenCode Go once in the router, then restart Codex after changing provider or agent definitions. Repository layout The three files under are the installable skill. is executable and invokes Claude Code's local alias with no session persistence. The packet passed to it must contain decisions and workspace facts only; never put credentials in a packet. Install From this repository: prints the exact destination and copy operations without creating files. installs to , creates

only the required directories, and is safe to run again. Use to select another skills directory: The installer reads only this repository and the destination path. It never reads, creates, or modifies credentials. Start a new Codex task after changing the provider or agent definitions. Use Invoke the skill with an objective: Fable returns a bounded graph. Codex validates the graph, starts ready workers in parallel when useful, collects their evidence, verifies the result, and asks Fable to adjudicate when

the task needs another decision. Every implementation node must use GPT-5. If neither allowed OpenCode Go route is callable, the workflow reports the blocker instead of inventing a model. Test Run the repository's dependency-light checks: The test checks shell syntax, the copied source files, required routing strings, basic YAML structure, optional XML validation, SVG safety constraints, a temporary-home dry run, an idempotent copy, and common credential-shaped strings. It does not require PyYAML or a live Claude

login.

常见问题

记录了多少星标和分叉?

codejunkie99/fable-orchestrator 有 615 个星标和 110 个分叉。

仓库排名是多少?

codejunkie99/fable-orchestrator 排名第 16,042。

记录的语言和类别是什么?

codejunkie99/fable-orchestrator 有 615 个星标,语言为 Shell,类别为 AI Engineering。

哪个仓库排名最接近?

codejunkie99/fable-orchestrator 与 aperoc/toolkami 比较,后者排名第 16,041,有 615 个星标。

README

Fable orchestrator

Fable is a small, local-first routing skill for Codex. Claude Fable 5.1 plans and adjudicates; it does not write code or own the workspace. Codex remains the runtime and delegates bounded implementation work to OpenCode Go agents:

  • GPT-5.6 Luna handles normal implementation.
  • DeepSeek V4 Flash handles loops, repeated iteration, and high-throughput implementation.
  • Fable 5.1 remains outside the implementation graph for planning and final adjudication.

The skill consumes the callable opencode-go/ and opencode-go-responses/ agents supplied by Codex Router. It does not ship a proxy, dashboard, model catalog, credential store, or API key. Configure OpenCode Go once in the router, then restart Codex after changing provider or agent definitions.

Repository layout

skill/fable/
├── SKILL.md
├── agents/openai.yaml
└── scripts/ask_fable.sh
assets/fable-orchestrator.svg
install.sh
tests/test_skill.sh

The three files under skill/fable/ are the installable skill. ask_fable.sh is executable and invokes Claude Code's local fable alias with no session persistence. The packet passed to it must contain decisions and workspace facts only; never put credentials in a packet.

Install

From this repository:

./install.sh --dry-run
./install.sh --copy

--dry-run prints the exact destination and copy operations without creating files. --copy installs to ~/.codex/skills/fable, creates only the required directories, and is safe to run again. Use --target DIR to select another skills directory:

./install.sh --copy --target "$PWD/.local/codex/skills"

The installer reads only this repository and the destination path. It never reads, creates, or modifies credentials. Start a new Codex task after changing the provider or agent definitions.

Use

Invoke the skill with an objective:

$fable build the feature

Fable returns a bounded graph. Codex validates the graph, starts ready workers in parallel when useful, collects their evidence, verifies the result, and asks Fable to adjudicate when the task needs another decision. Every implementation node must use GPT-5.6 Luna or DeepSeek V4 Flash. If neither allowed OpenCode Go route is callable, the workflow reports the blocker instead of inventing a model.

Test

Run the repository's dependency-light checks:

tests/test_skill.sh

The test checks shell syntax, the copied source files, required routing strings, basic YAML structure, optional xmllint XML validation, SVG safety constraints, a temporary-home dry run, an idempotent copy, and common credential-shaped strings. It does not require PyYAML or a live Claude login.

License

MIT. See LICENSE.

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