hw:srs

hw:srs is a skill for Claude Code, Codex from AISEE-LAB/aisee-plugin. It costs 160 tokens per session (1,767 once invoked), scanned A, original, MIT.

A structured requirements process for hardware and embedded projects. It turns an idea into a hardware SRS, a document describing what the device must do, its limits, and how it will be tested.

In plain words
What is it for?
Clarifying hardware projects, comparing platform choices, recording trade-offs, defining functional and non-functional requirements, and preparing input for architecture and change planning.
Why use it?
It exposes unclear requirements and mismatches between the desired device and possible chips, sensors, platforms, costs, power limits, or manufacturing constraints.

Skill for Claude CodeCodex

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

Part of the aisee-plugin plugin — 14 skills shipped together

Good fit Clarifying hardware projects, comparing platform choices, recording trade-offs, defining functional and non-functional requirements, and preparing input for architecture and change planning.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aisee-lab/aisee-plugin/hw-srs
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 AISEE-LAB/aisee-plugin --skill hw-srs
Clone the repo
git clone --depth 1 https://github.com/AISEE-LAB/aisee-plugin

Made for: Claude Code, Codex.

Or install aisee-plugin, the plugin that ships this one along with the rest of its 14 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 hw:srs

README.md
[![agentmods](https://agentmods.dev/badge/skills/aisee-lab/aisee-plugin/hw-srs.svg)](https://agentmods.dev/skills/aisee-lab/aisee-plugin/hw-srs)
Your own site
<a href="https://agentmods.dev/skills/aisee-lab/aisee-plugin/hw-srs"><img src="https://agentmods.dev/badge/skills/aisee-lab/aisee-plugin/hw-srs.svg" alt="Measured on agentmods" height="20"></a>
Per session 160 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,767 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.
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 $0.00160 $0.01767
Opus 5 $0.00080 $0.00883
Sonnet 5 $0.00032 $0.00353
Haiku 4.5 $0.00016 $0.00177

Measured 8d ago against content hash a1ced933dedf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

hw:srs 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 8d 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.

plugins/aisee-plugin/skills/hw-srs/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

hw:srs

把自然语言想法收敛为硬件/嵌入式项目的需求与硬件适配输入文档。

本技能是 OpenSpec 前置输入层,不直接创建 OpenSpec change,不写 proposal.mdspecs/**design.mdtasks.md。后续由 hw:change-plan 把本文档映射到 aisee-device-spec-driven change 的 source-map.md seed。

Inputs

用户可提供:

  • 原始想法、目标或问题现象
  • 旧项目说明、竞品、测试记录、规格书
  • 成本、周期、体积、功耗、可靠性、制造难度、维护性等约束
  • 候选 MCU/CPU/FPGA/传感器/执行器/模组/平台
  • 已有库存、采购限制、团队熟悉工具链
  • 既有 OpenSpec specs、历史需求或 active changes

可选参数:

  • --lang zh|en,默认 zh
  • --depth shallow|standard|deep,默认 standard
  • --baseline-aware,存在 openspec/specs/openspec/changes/ 或历史 SRS 时默认启用

References

需求澄清时读取:

references/question-bank.md

硬件能力评估维度不足时读取:

references/capability-checklist.md

Output

保存到:

aisee/docs/requirements/<YYYY-MM-DD>-<slug>-hw-srs.md

生成时读取:

assets/srs-template.md

必须包含:

  • 项目目标、边界、非目标
  • 用户/操作者、使用场景、环境
  • 功能需求 FR,使用 FR-001 形式编号
  • 非功能需求 NFR
  • 成本、周期、体积、功耗、制造、维护、可靠性和合规约束
  • 需求可调整项与不可调整项
  • 硬件/平台候选矩阵
  • 需求与硬件能力不匹配项
  • 需求调整与取舍记录
  • 最终硬件/平台方向或待确认项
  • 验收目标和证据形式
  • [ASSUMPTION][OPEN][FIT-DATA-MISSING][SPEC-GAP]
  • hw:architecture 的输入提示
  • hw:change-plan 的 FR 变更候选清单

Phase 0 - Read Context

先读取已有上下文,避免重复提问。

PowerShell:

Get-Content -ErrorAction SilentlyContinue README.md
Get-Content -ErrorAction SilentlyContinue openspec/project.md
if (Test-Path openspec/specs) { rg --files openspec/specs }
if (Test-Path openspec/changes) { Get-ChildItem openspec/changes -Directory | Select-Object -ExpandProperty Name }
if (Test-Path aisee/docs/requirements) { rg --files aisee/docs/requirements }

POSIX shell:

cat README.md 2>/dev/null
cat openspec/project.md 2>/dev/null
test -d openspec/specs && rg --files openspec/specs
test -d openspec/changes && find openspec/changes -maxdepth 1 -type d
test -d aisee/docs/requirements && rg --files aisee/docs/requirements

Phase 1 - Anchor Scope

第一轮只问一个最关键的范围问题。优先确认:

  • 新产品、旧产品改版、验证样机、课程/竞赛项目,还是量产项目
  • 目标用户或操作者
  • 主要物理对象:信号、传感器、执行器、通信链路、显示、人机交互、控制对象、供电系统等

Phase 2 - Discovery Dialogue

读取 references/question-bank.md 后按主题推进。

Read the full file on GitHub · 164 lines

Files

What ships with it

5 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. 8d ago First seen · 164 lines · 160 tokens per session scan A a1ced933dedf

Subscribe to this mod's changes

hw:srs is a skill published in the GitHub repository AISEE-LAB/aisee-plugin (11 stars, last pushed 2mo ago), licensed MIT. It adds 160 tokens to every session and 1,767 once invoked, about $0.0008 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.

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