ai-cycle

ai-cycle is a skill for Claude Code, Codex from arcasilesgroup/ai-engineering. It costs 121 tokens per session (1,057 once invoked), scanned A, original, Apache-2.0.

A managed workflow that takes a software request through research, specification, challenge, review, implementation, security checks, and release verification. It pauses after the first planning phase so a person can approve the proposal.

In plain words
What is it for?
It is for running a complete, staged development process from an initial request through a verified release, with a documented human approval point in between.
Why use it?
It separates deciding what to build from building it, and records what was proposed, rejected, missing, and approved. This reduces the chance of implementing an unreviewed or unclear specification.

Skill for Claude CodeCodex

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 skills/arcasilesgroup/ai-engineering/ai-cycle
Any agent
npx skills add arcasilesgroup/ai-engineering --skill ai-cycle
Clone the repo
git clone --depth 1 https://github.com/arcasilesgroup/ai-engineering

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 ai-cycle

README.md
[![agentmods](https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-cycle.svg)](https://agentmods.dev/skills/arcasilesgroup/ai-engineering/ai-cycle)
Your own site
<a href="https://agentmods.dev/skills/arcasilesgroup/ai-engineering/ai-cycle"><img src="https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-cycle.svg" alt="Measured on agentmods" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,057 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 5.1 $0.00121 $0.01057
Opus 5 $0.00060 $0.00528
Sonnet 5 $0.00024 $0.00211
Haiku 4.5 $0.00012 $0.00106

Measured 5d ago against content hash f32c45c0e808, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

ai-cycle 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 5d 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.

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.

.agents/skills/ai-cycle/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Two halves, and a person between them

Not an engine. Each stage is a skill with its own file; load that file and follow it, the way the generated slash command already says. There is no state file, no new verb and nothing here that decides anything a stage would not decide on its own.

What it produces

Half one ends with the brief page a person decides on — docs/solution-intent.html, regenerated by ai-eng report intent --html. Half two ends with the green gate output, shown in the conversation, or with a page that says exactly why it is not green.

First half — up to the person

/ai-cycle <what you want>

The order of the halves is data, not prose here: read policy/skill-sequence.toml and follow it. First half — research, then spec, then challenge, then council, then a brief published as a page: what is proposed, what was refuted, what is missing, and what it costs. Then stop.

Stopping is the whole of this half. ai-eng report blocked already lists a drafted specification nobody has approved, so the halt exists and fires; this hands the person the thing they need to decide instead of a status line. The approval is a record with the specification's exact digest in it, and until that record exists the second half has nothing to run against — the task envelope refuses outright when the bytes moved.

Second half — after them

/ai-cycle build <NNN>

The same map's second half, in order, once an approval record carrying the specification's exact digest exists — the map's [gate] section is the line between the halves. Inside ai-build, run one task at a time through ai-eng spec show <NNN> --task <n>: two kilobytes, not the whole plan. Where the plan's order allows two tasks at once and the host can start two agents, start two; where it cannot, do them in turn. The critics — review, verify, security — run each in its own context, then ai-eng audit verify, then ai-ship.

When the gate goes red

It does not stop at the first red and it does not get to cheat.

Read the full file on GitHub · 84 lines

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. 5d ago First seen · 84 lines · 121 tokens per session scan A f32c45c0e808

Subscribe to this mod's changes

ai-cycle is a skill published in the GitHub repository arcasilesgroup/ai-engineering (54 stars, last pushed 4d ago), licensed Apache-2.0. It adds 121 tokens to every session and 1,057 once invoked, about $0.0006 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 2026-08-30.