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fable-council

fable-council

github.com/immamdouhaboammarAgent workflows354 installsUpdated 1w ago
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About fable-council

fable-council is a planning skill that gathers independent critiques from installed AI coding agent CLIs before an architectural plan is finalized. It runs bounded deliberation rounds and produces a synthesized plan with a record of accepted and rejected suggestions.

Key features

  1. 01Detect installed agent CLIs
  2. 02Request independent plan critiques in parallel
  3. 03Run a bounded number of deliberation rounds
  4. 04Revise plans based on technical reasoning
  5. 05Save session artifacts and deliberation records

Use cases

  1. 01Review plans for major architectural changes
  2. 02Compare competing implementation strategies
  3. 03Seek second opinions on high-stakes migrations

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/immamdouhaboammar/get-fable --skill fable-council

After installing, type/fable-councilin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

LICENSE
README.md
skill.package.json
agents/
openai.yaml
evals/
scenarios.json

Details

From the project README

Fable Council

Convene a council of AI coding agents before finalizing an architectural plan. Propose → hear independent assessments from each installed agent CLI → revise, repeated across bounded deliberation rounds.

Purpose

Enforce multi-agent deliberation and cross-model consensus on complex plans. Leverage complementary models (Claude, Codex, Cursor, Gemini, Grok, OpenCode) to detect blind spots, challenge flawed assumptions, and converge on robust engineering plans.

When to Use

  • When planning high-stakes architectural changes, major refactorings, or migrations.
  • When the user asks to convene the council or get second opinions ("ask the council", "consult the other agents").
  • When deliberating between multiple competing implementation strategies.

When NOT to Use

  • Bounded single-file bugfixes or routine implementation tasks (use fable-execute or fable-tdd).
  • When no other agent CLIs are installed on the local system (fall back to solo fable-plan).
  • Post-implementation diff verification or code review (use fable-review or fable-judge).

Inputs

  • draft_plan: The lead agent's initial architectural proposal.
  • member_clis: List of detected or user-specified agent CLI binaries on the host machine.
  • rounds_count: Number of deliberation turns requested (default: 1).

Expected Outputs

  • counciled_plan: The final synthesized plan refined through multi-agent critiques.
  • deliberation_transcript: Structured conversational record of member critiques, adopted changes, and rejected arguments.

Procedure

  1. Parse Request: Extract the core task, requested number of turns (X), and identify the host lead runtime (SELF).
  2. Detect Members: Probe available CLIs on PATH (claude, codex, cursor-agent, gemini, grok, opencode) minus SELF.
  3. Initialize Session: Create ~/.council/<timestamp>-<slug> and persist the verbatim task to task.md and initial plan to plan-v1.md.
  4. Deliberation Loop (1..X):
    • Generate prompt per member with strict read-only execution flags.
    • Invoke all members concurrently in background processes with a ~300s timeout.
    • Collect and parse member responses.
    • Revise the plan: adopt valid critiques, reject flawed suggestions with explicit technical reasoning.
    • Produce plan-v(R+1).md and changes-v(R+1).md.
  5. Format Final Answer: Present the deliberation conversation followed by the finalized consensus plan.

Decision Rules

  • The lead agent never implements changes during a council run; planning and deliberation only.
  • Council members are invoked in read-only mode (--mode plan, -s read-only, --skip-trust).
  • All member suggestions are evaluated on technical merit, not model authority.
  • Retaining original positions is permitted when supported by concrete technical rationale.

Tool Policy

  • Execute member CLI binaries in parallel using non-interactive flags.
  • Enforce strict timeouts (e.g. via Perl alarm or process managers on macOS).
  • Pass system prompt overrides to headless models (e.g. Grok) to prevent unauthorized tool-use stalls.

Evidence Requirements

  • Deliberation session artifacts saved under ~/.council/.
  • Verbatim quotes and rationale for accepted vs rejected recommendations.

Failure Handling

  • If a member CLI times out or errors, record the timeout and proceed without blocking the round.
  • If no secondary agent CLIs exist on the machine, explicitly declare a solo un-counciled plan.

Completion Criteria

  • All X deliberation rounds completed without deadlock.
  • Deliberation transcript and final synthesized plan presented clearly.
  • Deliverable ready for human sign-off before any execution begins.

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