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Coco Loop

coco-research/coco-loop

> Start a safe, governed autonomous loop from a plain-language goal. Use when the user says /coco-loop, "run an autonomous loop", "keep my build green for N hours", "work on X autonomously for a while", or wants a bounded self-improving loop that proposes fixes and never commits on its own. Turns a vague goal into a readable charter the user confirms, then arms and runs the loop propose-only under the coco-loops governance framework.

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Install

one command, takes just this skill from the repository
npx skills add https://github.com/coco-research/coco --skill coco-loop

The instruction itself

10 sections, as written by the author

coco-loop

Turn a plain-language goal into a governed, propose-only loop. You compile the goal

into a charter, the person confirms it, and the loop runs under the coco-loops

framework: it proposes changes, a separate verifier judges them, and nothing is

committed. The loop stops itself when its lifetime cap of active work is spent.

The framework enforces an immutable constitution underneath every charter. You cannot

write a charter that disables the verifier, commits without approval, edits the

constitution, sends content to raw public-cloud endpoints, or runs unattended

destructive operations. The coco-loops charter command rejects any charter that

tries. Do not attempt to work around it. Present the floor to the person as a feature.

Prerequisites

coco-loops must be on the PATH. Install it from

coco-research/coco-loops:

git clone https://github.com/coco-research/coco-loops
pip install -e coco-loops

Check with coco-loops --help. If it is missing, tell the person how to install it and stop.

Flow

1. Understand the goal

Read the person's goal. Ask at most one or two clarifying questions, and only when the

answer genuinely changes the charter:

  • Which repository or worktree should the loop work in? A loop needs a clean git tree,

so a dedicated worktree is strongly recommended (the loop reverts its own changes

each cycle and refuses to run on a dirty tree, to avoid clobbering uncommitted work).

  • How long should it run? This becomes the lifetime cap of active work, for example

4h. The clock only advances while the loop is actually working, so a closed laptop

or an idle wait does not burn it.

Do not over-question. If the goal is clear, proceed.

2. Compile the charter

Get the exact field list with coco-loops charter --schema, then produce a charter as

JSON. Derive the principles from the goal, and add sensible safe defaults. Keep

principles readable: they are what the person confirms and what we audit the loop

against.

Example, for "keep my frontend build green for the next 4 hours":

{
  "loop_id": "keep-build-green",
  "objective": "Make failing frontend tests pass and keep the build green.",
  "principles": [
    "Only touch code covered by a failing test; keep the diff as small as possible.",
    "If a test is genuinely stale, propose updating it rather than weakening it silently.",
    "Prefer fixing the code over changing the test when a real regression is likely."
  ],
  "guardrails": [
    "No dependency or lockfile changes.",
    "No CI or build-config edits."
  ],
  "context": ["the frontend test suite"],
  "inputs": ["failing tests detected each cycle"],
  "lifetime": "4h",
  "level": "L1"
}

Rules for the charter you produce:

  • level is always L1. New loops are propose-only. Higher maturity is earned through

the promotion gate, never declared here.

  • loop_id is a slug: lowercase letters, digits, and hyphens.
  • Give at least one principle. Three to five is usually right.
  • Set lifetime from what the person asked, defaulting to 4h.

3. Show the charter and confirm

Write the charter JSON to a temporary file, then run:

coco-loops charter --from-json <file>

This validates the charter against the constitution floor and prints a readable

version. If validation fails, it prints why (with the invariant it violated); fix the

charter and try again. Show the rendered charter to the person and ask them to confirm

before anything is armed.

4. Install and arm

On confirmation:

coco-loops charter --from-json <file> --install

This writes <loop_id>.contract.md into the loops directory, arms the lifetime cap,

and clears the kill-switch. The loop is now defined and armed, propose-only.

5. Give it work and run it

The loop reads tasks from a JSON queue (a list of {"id", "name", "instruction"}

objects). Seed the queue with concrete, grounded tasks, for example one task per

failing test with the file and the assertion. A loop is only as good as its task list;

vague tasks produce no-ops.

Run it in the chosen worktree:

coco-loops run <loop_id> --repo <worktree> --tasks <queue.json>

Each cycle it pops a task, asks the maker (cursor-agent by default) to propose a change,

has the verifier judge it, logs the proposal, and reverts the tree. Use --once to run

a single cycle first and watch what it does. Recommend a dedicated worktree so the

loop's revert can never touch the person's uncommitted work.

6. Monitor and hand back

coco-loops status <loop_id>

shows the recent proposals, the verifier verdicts, and how much of the lifetime is

spent. Everything is propose-only: the person reviews the batch of proposals and

applies what they want. When the lifetime is spent the loop stops itself. To run

another session, re-arm with coco-loops start <loop_id> --for <duration> (or run

charter --install again).

What to tell the person

  • The loop proposes, it does not commit. They stay in control of what lands.
  • It stops itself after its lifetime of active work. It will not run forever.
  • The constitution floor is always on and cannot be overridden by a charter.
  • A dedicated worktree keeps their main checkout safe.

How to use it

Copy the folder

Take coco-research/coco-loop from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.