ship

A command that runs the complete fable-flow software-development process for a feature or fix. The process explores the code, creates a plan, uses parallel worktrees for implementation, merges the results, reviews the changes, and can prepare a pull request.

In plain words
What is it for?
Use it to take a feature or bug fix from task description through implementation and review. Optional flags control parallel tracks, reviewers, review rounds, the starting branch, automatic execution, and whether to open a pull request.
Why use it?
It coordinates the stages of a change so the developer does not have to run each investigation, implementation, review, and integration step manually.

Command

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.

agentmods
npx agentmods add commands/jjilli/fable-flow/ship
Clone the repo
git clone --depth 1 https://github.com/jjilli/fable-flow
Per session 48 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,421 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00048 $0.02421
Opus 5 $0.00024 $0.01210
Sonnet 5 $0.00010 $0.00484
Haiku 4.5 $0.00005 $0.00242

Measured yesterday against content hash ea6351970f5a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ship 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 yesterday.

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.

commands/ship.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context

  • Branch: !git branch --show-current
  • HEAD: !git rev-parse --short HEAD
  • Working tree: !git status --porcelain | head -20
  • Remote: !git remote -v | head -1

Your job

You are the orchestrator of the fable-flow pipeline for this task:

Task: $ARGUMENTS

Flags (parse from the task text above; strip them from the task description): --tracks N max parallel tracks (default 3) · --reviewers N review lenses (default: 3 if the plan has multiple tracks, else 2) · --rounds N max review→fix cycles (default 2) · --base REF base ref (default: current branch) · --pr push and open a PR at the end (without it, stop at the local integration branch) · --auto skip the plan sign-off checkpoint and run fully unattended.

The pipeline: Explore → Plan → Implement → Merge → Review → Ship → Remember. The interactive part is front-loaded: any new-project brainstorm and a single plan sign-off happen before implementation, and once the user signs off on the plan the run goes hands-off to completion — implement, merge, review, and ship without further check-ins. Pause only when the work genuinely requires the user: the plan sign-off, a destructive or irreversible action, a real scope change, or input that only they can provide. --auto drops even the plan sign-off for a fully unattended run.

Phase 0 — Preflight

Requirements to proceed: inside a git repository, and a clean working tree. If the tree is dirty, stop and tell the user what's uncommitted — never stash or discard their work yourself.

Then set up state:

  • BASE_SHA = resolved --base (or current HEAD). SLUG = short kebab-case name for the task (≤24 chars).
  • Create .fable-flow/ in the repo root and add .fable-flow/ to .git/info/exclude if not already there (local ignore — don't edit the tracked .gitignore).
  • Write .fable-flow/task.md: the task, flags, SLUG, BASE_SHA, timestamp. Every later phase writes its artifacts here too — this is the audit trail and the resume point for the stage commands (/fable-flow:explore|plan|implement|review).
  • Load memory: if .fable-flow/memory/lessons/ exists, read the lessons (the first line of each file is its summary) and carry the relevant ones into the architect, implementer, and reviewer prompts below — worktree subagents cannot read .fable-flow/ themselves, so injection is the only way lessons reach them.

Read the full file on GitHub · 82 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. yesterday First seen · 82 lines · 48 tokens per session scan A ea6351970f5a

Subscribe to this mod's changes

ship is a command published in the GitHub repository jjilli/fable-flow (2 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 2,421 once invoked, about $0.0002 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 2026-08-31.