autonomous-loops

autonomous-loops is a skill for Claude Code, Codex from lidge-jun/cli-jaw-skills. It costs 26 tokens per session (4,641 once invoked), scanned C, original, no licence file.

A collection of designs for running coding-agent tasks in repeated, partly or fully automatic loops. It includes simple step-by-step pipelines and larger workflows where multiple agents follow a shared design document.

In plain words
What is it for?
Use it to design sequential agent pipelines or workflows where multiple agents work as a directed graph of dependent tasks. RFCs, or written proposals that describe a change, can guide those workflows.
Why use it?
It helps structure work that must continue through several agent steps instead of relying on one response or manually coordinating every task.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to design sequential agent pipelines or workflows where multiple agents work as a directed graph of dependent tasks. RFCs, or written proposals that describe a change, can guide those workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lidge-jun/cli-jaw-skills/autonomous-loops
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.

Any agent
npx skills add lidge-jun/cli-jaw-skills --skill autonomous-loops
Clone the repo
git clone --depth 1 https://github.com/lidge-jun/cli-jaw-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for autonomous-loops

README.md
[![agentmods](https://agentmods.dev/badge/skills/lidge-jun/cli-jaw-skills/autonomous-loops/github.svg)](https://agentmods.dev/skills/lidge-jun/cli-jaw-skills/autonomous-loops)
Your own site
<a href="https://agentmods.dev/skills/lidge-jun/cli-jaw-skills/autonomous-loops"><img src="https://agentmods.dev/badge/skills/lidge-jun/cli-jaw-skills/autonomous-loops/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for autonomous-loops

Your own site · 80×15
<a href="https://agentmods.dev/skills/lidge-jun/cli-jaw-skills/autonomous-loops"><img src="https://agentmods.dev/badge/skills/lidge-jun/cli-jaw-skills/autonomous-loops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,641 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 5.1 $0.00026 $0.04641
Opus 5 $0.00013 $0.02320
Sonnet 5 $0.00005 $0.00928
Haiku 4.5 $0.00003 $0.00464

Measured 9d ago against content hash 28d6f46870ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade C, and why

autonomous-loops scanned grade C with 2 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 9d ago.

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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fsSL https://raw.githubusercontent.com/AnandChowdhary/continuous-claude/HEAD/install.sh | bash

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL https://raw.githubusercontent.com/AnandChowdhary/continuous-claude/HEAD/install.sh | bash
autonomous-loops/SKILL.md · 500 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 500 lines · 26 tokens per session scan C 28d6f46870ab

Subscribe to this mod's changes

autonomous-loops is a skill published in the GitHub repository lidge-jun/cli-jaw-skills (5 stars, last pushed today), with no licence file. It adds 26 tokens to every session and 4,641 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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