loop

An autonomous execution loop repeatedly works through the available tasks in an epic. It follows a test-first development cycle and can use parallel agents, while stopping after configured limits or repeated lack of progress.

In plain words
What is it for?
Use it to run an epic to completion, process tasks in dependency order, execute work in parallel when enabled, create pull requests through the configured workflow, and view periodic progress dashboards.
Why use it?
It reduces the need to start each task manually. Checks before and during the loop help prevent invalid dependencies, configuration problems, and stalled execution from going unnoticed.

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/skullninja/coco-workflow/loop
Clone the repo
git clone --depth 1 https://github.com/skullninja/coco-workflow
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,833 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 $0.00028 $0.03833
Opus 5 $0.00014 $0.01917
Sonnet 5 $0.00006 $0.00767
Haiku 4.5 $0.00003 $0.00383

Measured yesterday against content hash eb242b7ab444, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

loop 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/loop.md · 463 lines

How it starts

The opening of the file, as written. The whole thing — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

$ARGUMENTS

$ARGUMENTS is an epic ID or feature name. If empty, use the most recent open epic.

Setup

  1. Read .coco/config.yaml for project configuration (including pr and loop sections).

  2. Determine the target epic from $ARGUMENTS or most recent open epic.

  3. Read loop config. Defaults when a key is absent: max_iterations: 20, no_progress_threshold: 3, pause_on_error: false, dashboard_every: 5, parallel.enabled: true, parallel.max_agents: 3, parallel.max_agent_attempts: 2.

    A project initialized before these defaults changed still carries the old values in its own .coco/config.yaml, which is read in preference to any default here. If pause_on_error is true or parallel.enabled is false in this project, say so in the opening ledger line -- the user may not know their config predates the change, and /coco:setup migrate reconciles it.

Pre-Loop Gate

Verify the epic is ready for autonomous execution:

coco-tracker epic-status {epic-id}

Check ALL before entering the loop:

  1. Tracker epic exists and has tasks
  2. Dependencies are set -- at least one task is unblocked (ready returns a result)
  3. If issue tracker configured: every task has issue_key in metadata
  4. If pr.enabled: verify on a feature/* branch
  5. If pr.enabled: verify remote origin is configured (git remote -v)
  6. If pr.enabled: verify gh CLI is available

If any check fails, STOP and report what needs to be fixed.

Initialize Loop State

git branch --show-current

Record the output as the feature branch name for later use.

coco-tracker session-start "Autonomous loop for {epic-id}"

Set counters:

  • iteration = 0
  • consecutive_no_progress = 0
  • initial_commit_count = $(git rev-list --count HEAD)

Autonomous Loop

The Loop Does Not Stop To Report

This loop runs to completion inside one turn. Ending the turn is an exit, and the only legitimate exits are the ones enumerated under Exit Conditions below.

Read the full file on GitHub · 463 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 · 463 lines · 28 tokens per session scan A eb242b7ab444

Subscribe to this mod's changes

loop is a command published in the GitHub repository skullninja/coco-workflow (7 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 3,833 once invoked, about $0.0001 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.