aios-plan

aios-plan is a skill for Claude Code, Codex from ArchSightLabs/archsight-aios. It costs 56 tokens per session (1,809 once invoked), scanned A, original, Apache-2.0.

An engineering delivery-planning workflow that turns features, bug fixes, architecture decisions, or AI-generated proposals into ordered tasks.

In plain words
What is it for?
Use it to plan software work, including task breakdowns, parallel workstreams, CI/CD checks, audits, and rollback steps; extra construction-industry checks apply when relevant.
Why use it?
It makes dependencies, verification, risks, release steps, and handover requirements explicit.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions Codex.

Part of the archsight-aios plugin — 33 skills shipped together

Good fit Use it to plan software work, including task breakdowns, parallel workstreams, CI/CD checks, audits, and rollback steps; extra construction-industry checks apply when relevant.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/archsightlabs/archsight-aios/aios-plan
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 ArchSightLabs/archsight-aios --skill aios-plan
Clone the repo
git clone --depth 1 https://github.com/ArchSightLabs/archsight-aios

Made for: Claude Code, Codex.

Or install archsight-aios, the plugin that ships this one along with the rest of its 33 skills.

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 aios-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-plan/github.svg)](https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-plan)
Your own site
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-plan"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-plan/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 aios-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-plan"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,809 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00056 $0.01809
Opus 5 $0.00028 $0.00905
Sonnet 5 $0.00011 $0.00362
Haiku 4.5 $0.00006 $0.00181

Measured 10d ago against content hash 1d393d927f3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

aios-plan 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 10d 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.

skills/aios-plan/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIOS Plan

目标

以 Mason(工程总工)的方式把目标拆成可执行、可验收、可交付的工程计划。适用于 Codex、Gemini 或其他 AI 编程助手在项目工作目录中组织研发执行。

在 AIOS 行业增强启用时,计划必须把行业证据链、长任务、文件处理、索引版本、人工复核、审计和发布回滚纳入任务拆解。

AIOS 适用性

本 Skill 继承 AIOS 的全局定位:AIOS 是建筑行业增强层,不是通用计划工具替代器。

  • 建筑行业项目中的 feature、bug、架构落地、知识管线、审图链路、BIM / IFC / 规范 / RAG / GraphRAG 交付计划,启用 AIOS 行业增强。
  • 普通非建筑工程计划优先使用宿主工具的通用计划能力;不要强行引入证据链、人工复核、审图或工程规范假设。
  • 是否适用不明确时,先读 README、.ai/project-context.md、项目 profile 和任务目标。

输入

优先收集:

  • 需求目标或问题描述。
  • aios-product 输出的目标用户、版本范围、非目标、用户故事、验收指标和试点 / UAT 边界,如属于产品型 Feature。
  • Atlas 的架构约束,如存在。
  • 架构评审中的本次事实刷新、已过期判断、P0/P1/P2 发现、领域风险 / 工程风险分类和第一小步建议,如存在。
  • 仲裁协议中的阻断项、Capability 证据和待人工升级事项,如存在。
  • 当前项目结构、模块边界、脚本入口和测试方式。
  • 影响范围、交付时间、发布约束。
  • 已知风险和必须保留的行为。

工作流

  1. 确认产品输入和完成标准:什么用户结果算完成,如何验证;产品型 Feature 缺少范围、非目标或验收指标时先交回 aios-product
  2. 识别任务类型:feature、bug fix、refactor、review follow-up、release、文档或 Runtime 调整。
  3. 盘点已有能力:确认哪些模块、脚本、契约和测试应复用,避免把架构评审发现误拆成重建任务。
  4. 先处理事实刷新:把已过期判断从计划中移除或降级,不让旧报告继续驱动任务排序。
  5. 拆分任务:前端、后端、数据、知识、Runtime、测试、文档、交付。
  6. 标注依赖关系:哪些任务必须先完成,哪些可并行。
  7. 识别 workstream:给每条并行线标注触达模块、依赖、冲突点和合并顺序。
  8. 建立 Failure Modes:列出关键路径的生产失败方式、现有覆盖、错误处理、用户可见性和风险级别。
  9. 定义每个任务的输入、输出、改动范围和验收方式;每个 P0/P1/P2 任务必须包含文件 / 模块、预计改动范围和验证命令。
  10. 对 Capability 阻断项标注 blocked_by,不把未通过工具或证据门禁的任务交给执行 Agent。
  11. 指定交接对象:Hephaestus 执行、Argus 审查、Daedalus 处理 Runtime、Vitruvius 判断行业语义、Euclid 判断结构求解链路。
  12. 明确发布、回滚、人工确认点。
  13. 最后给出第一小步:当前最该做、最小、可验证的一个任务。

Goal 与连续交付

当用户明确要求“定义 Goal 并完成改造”“按目标持续推进”或同等语义时,计划不是一次性文档,而是执行期间的控制面:

  1. 先把用户目标写成一个可验证的 Goal,明确终止条件、非目标和剩余外部阻塞。
  2. 计划必须标记当前步骤、已完成步骤和待执行步骤;用户补充要求时只更新受影响的分支,不重启整个计划。
  3. 如果用户同时授权实施,aios-plan 完成拆解后应直接交给 aios-exec,不能把“计划已完成”误报为“用户目标已完成”。
  4. 每次阶段验证失败都回写计划状态;只有所有终止条件有新鲜证据时,才允许关闭 Goal。
  5. Goal 跨多个仓库时,分别标注业务仓库、工具源仓库、安装缓存和生成产物;默认修改源仓库,不把本机安装副本当作正式交付。

删除、兼容与迁移策略

规划边界调整、重构或产品收口时,必须显式记录兼容策略,不能默认保留旧入口:

  • 兼容:已经上线、已有外部消费者或存在数据迁移义务时,定义迁移期、弃用提示和删除条件。
  • 硬收口:项目未上线且用户明确不需要兼容时,直接删除目标架构之外的路由、入口、专用实现和无效测试,避免双轨维护。
  • 需确认:无法判断是否存在外部消费者、不可逆数据或发布依赖时,才升级人工确认。

删除任务仍要先做引用扫描、所有权判断和回归验证;“允许删除”不等于允许删除共享底座或用户未授权的数据。

Read the full file on GitHub · 139 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. 10d ago First seen · 139 lines · 56 tokens per session scan A 1d393d927f3f

Subscribe to this mod's changes

aios-plan is a skill published in the GitHub repository ArchSightLabs/archsight-aios (14 stars, last pushed 14d ago), licensed Apache-2.0. It adds 56 tokens to every session and 1,809 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

massing-bim

Drive a Massing BIM/AEC project from an AI agent over MCP — read a project's status, records, CDE, KPI and model-quality checks; run standards-compliance, schedule-risk, embodied-carbon, permit- readiness and drawing-QA analyses; author the IFC model with GUID-stable recipes; and draft RFIs. Use when the user asks to…

ibuilder/massing · 90 tokens

ara3d-sdk

Use when processing AEC/BIM 3D data in .NET 8 — mesh generation and transformation, SIMD-accelerated math, IFC/STEP/PLY to glTF/GLB/VIM conversion, plugin development. Ara3D-SDK: high-performance .NET 3D geometry and BIM library suite.

znlgis/opengis-skills · 70 tokens

elements

Use when generating building information models (BIM) programmatically in C#/.NET — wall, beam, column, floor creation, geometry kernel (BREP/CSG), glTF/IFC/JSON serialization, MEP systems, spatial grids. Hypar Elements: the smallest useful BIM — a cross-platform C# library for creating building elements without…

znlgis/opengis-skills · 81 tokens

3d-skills

Use when working with 3D Gaussian Splatting (3DGS), .ply model cleanup/compression/publishing, interactive 360-degree panorama visualization and virtual tours, AEC/BIM 3D data processing, or CSG solid modeling. Index of 5 skills: SuperSplat, Photo-Sphere-Viewer, Ara3D-SDK, Elements, and OpenCSG.NET.

znlgis/opengis-skills · 86 tokens

naviscoord-setup

Instalar, actualizar, reparar y verificar NavisCoord en ChatGPT Work de escritorio, Claude Desktop, Claude Code y Codex cuando faltan las herramientas navis o el puente de Navisworks no responde.

HorizunGroup/naviscoord-mcp · 50 tokens

bim-agent

BIM Agent — Query and validate Building Information Models (IFC) through natural language.

Daviidro/bim-agent · 21 tokens