auto

auto is a skill for Claude Code, Codex from easyinplay/harnessed. It costs 221 tokens per session (3,649 once invoked), scanned A, original, Apache-2.0.

A one-command workflow that runs a feature from initial research, discussion, and planning through task breakdown, verification, and retrospective. It may research first when the request is unclear.

In plain words
What is it for?
Running an end-to-end feature-development workflow, from clarifying the request to checking the result and recording lessons learned.
Why use it?
It coordinates the full development sequence so you do not have to start each stage separately. A complexity check can direct large tasks into a staged process.

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/easyinplay/harnessed/auto
Any agent
npx skills add easyinplay/harnessed --skill auto
Clone the repo
git clone --depth 1 https://github.com/easyinplay/harnessed

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 auto

README.md
[![agentmods](https://agentmods.dev/badge/skills/easyinplay/harnessed/auto.svg)](https://agentmods.dev/skills/easyinplay/harnessed/auto)
Your own site
<a href="https://agentmods.dev/skills/easyinplay/harnessed/auto"><img src="https://agentmods.dev/badge/skills/easyinplay/harnessed/auto.svg" alt="Measured on agentmods" height="20"></a>
Per session 221 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,649 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 $0.00221 $0.03649
Opus 5 $0.00111 $0.01825
Sonnet 5 $0.00044 $0.00730
Haiku 4.5 $0.00022 $0.00365

Measured 3d ago against content hash e36b60cc88ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

auto 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 3d 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.

workflows/auto/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

auto super-master orchestrator (v3.2.0 enhanced)

Overview

v3.2.0 NEW — 6-stage cadence (research conditional → discuss → plan → task → verify → retro mandatory), sister 4 stage-master /discuss /plan /task /verify 独立 invoke 仍 work; /auto 是 opt-in 一行命令 chain。

order sub gate ref mode when fires
0 research judgments.stage-routing.auto-research-unclear.fires serial user_understanding_unclear == true (Phase 0.5 prompt n)
1 discuss (unconditional — 4-stage chain 起点) serial always
2 plan (unconditional — stage 2) serial always
3 task (unconditional — stage 3) serial always
4 verify (unconditional — stage 4 收尾) serial always
5 retro (unconditional — auto mode mandatory) serial always

Engine runtime spawns 6 sub workflow.yaml via runMasterOrchestrator per T3.5.W0.1 — recursive 一层抽象 (super-master → stage-master OR standalone → sub-workflow):

  • top-level invoke /auto → load workflows/auto/workflow.yaml → runAutoPreFlight hook
  • pre-flight Phase 0: assessComplexity(taskDescription) → small/medium auto continue; large → prompt user 切 --staged (y) OR abort 建议手动 (n)
  • pre-flight Phase 0.5: promptUserUnderstanding() → y skip research; n set user_understanding_unclear = true 进 ctx → research gate fires
  • spawn order 0: workflows/research/workflow.yaml (if gate fires)
  • spawn order 1-4: 4 stage-master workflows/<sub>/auto/workflow.yaml
  • spawn order 5: workflows/retro/workflow.yaml (mandatory unconditional)

K8 ctx single snapshot:auto top-level invoke 1 snapshot, pass to all 6 spawn (sister Phase 3.5 W0.1 pattern verbatim, 1 snapshot per top-level invoke 跨整个 cycle)。

Default behavior

  • Pre-flight gates: complexity assessment + understanding check (interactive prompts)
  • Continuous chain: 6 stage 一行命令跑完, 中间不停
  • Fail-fast: 任一 stage fail 立即停, harnessed resume
  • New-project bootstrap: .planning/ROADMAP.md missing → stage ① runs /gsd-new-project (when available) or creates the minimal ROADMAP/STATE/REQUIREMENTS skeleton first
  • Context 自动传递: planning-with-files .planning/phases/<NN>-<slug>/ 喂下 stage
  • Retro mandatory: auto mode hands-off scenario,末尾强制 /retro 总结 (无 opt-out flag)
  • 沿用 sister planning-with-files /plan 持久化 cadence

Read the full file on GitHub · 156 lines

Files

What ships with it

2 files 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. 3d ago First seen · 156 lines · 221 tokens per session scan A e36b60cc88ae

Subscribe to this mod's changes

auto is a skill published in the GitHub repository easyinplay/harnessed (2 stars, last pushed 8d ago), licensed Apache-2.0. It adds 221 tokens to every session and 3,649 once invoked, about $0.0011 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.

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