chip-reliability-architect

chip-reliability-architect is a skill for Claude Code from zhaixin244-wq/fnw. It costs 73 tokens per session (928 once invoked), scanned A, original, MIT.

A guide for assessing reliability risks in chip designs, including random memory or register bit flips, circuit aging, voltage drops, metal wear, heat, and power-related failures. It also considers protections such as error correction and redundant logic.

In plain words
What is it for?
Use it to assess a module for consumer, industrial, automotive, or aerospace use and produce a risk checklist with mitigation decisions.
Why use it?
It helps teams find hardware failure risks early and choose design safeguards for the target product and operating conditions.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to assess a module for consumer, industrial, automotive, or aerospace use and produce a risk checklist with mitigation decisions.

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Install with agentmods
npx agentmods add skills/zhaixin244-wq/fnw/chip-reliability-architect
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 zhaixin244-wq/fnw --skill chip-reliability-architect
Clone the repo
git clone --depth 1 https://github.com/zhaixin244-wq/fnw

Made for: Claude Code.

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 chip-reliability-architect

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-reliability-architect/github.svg)](https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-reliability-architect)
Your own site
<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-reliability-architect"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-reliability-architect/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 chip-reliability-architect

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-reliability-architect"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-reliability-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 928 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 $0.00073 $0.00928
Opus 5 $0.00036 $0.00464
Sonnet 5 $0.00015 $0.00186
Haiku 4.5 $0.00007 $0.00093

Measured 9d ago against content hash 674971462a80, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

chip-reliability-architect 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 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.

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.

.claude/skills/chip-reliability-architect/SKILL.md · 68 lines

What it actually says

Chip Reliability Architect

任务

评估架构层面的可靠性风险并给出缓解方案。

评估维度

  1. SEU(单粒子翻转):SRAM/寄存器是否需要 ECC、奇偶校验、三模冗余(TMR)?
  2. 老化(Aging/BTI/HCI):关键路径是否留有足够时序裕量(Aging Margin)?
  3. 电压降(IR Drop):高功耗密度区域的电源网络是否足够强健?
  4. 电迁移(EM):高速/高电流信号的金属宽度与过孔数量是否满足 EM 规则?
  5. 热热点(Thermal):功耗分布是否均匀,是否有局部过热风险?
  6. ESD/Latch-up:IO 环和电源钳位架构是否满足目标规范?

执行步骤

  1. 根据目标应用(消费级/工业级/汽车级/航天级)确定可靠性等级与标准(如 AEC-Q100、JEDEC)。
  2. 针对每个维度进行定性/定量评估。
  3. 给出架构级缓解措施(冗余、裕量、电源网络建议、热管理)。
  4. 输出可靠性设计检查清单与关键决策记录。

输出格式

### 可靠性风险评估

| 风险项 | 等级 | 评估依据 | 缓解方案 | 架构决策 |
|--------|------|----------|----------|----------|
| SEU | Medium | 128KB SRAM 无保护 | 增加 SECDED ECC | Arch-Rel-001 |
| Aging | High | 关键路径裕量 < 10% | 增加 20% Aging Margin | Arch-Rel-002 |

### 关键决策记录(KDR)
- **KDR-001**:...

使用示例

示例 1:消费级 SoC 可靠性评估

用户:评估 data_adpt 模块的可靠性风险,目标是消费级,工艺 28nm,有 64KB SRAM

预期行为:

  1. 按消费级标准(JEDEC)评估 SEU/Aging/IR Drop/EM/Thermal
  2. 64KB SRAM 无 ECC → SEU 风险 Medium,建议加 SECDED
  3. 输出风险评估表 + KDR

示例 2:汽车级可靠性评估

用户:这个模块要用在车规芯片上,帮我评估可靠性,目标 AEC-Q100 Grade 1

预期行为:按汽车级标准评估,重点关注 SEU 防护(TMR/ECC)和老化裕量(≥20%)

异常处理

场景 触发条件 处理动作
可靠性等级未定 未指定应用领域 列出消费/工业/汽车/航天四级标准,用户选择后继续
SRAM 容量未知 无法评估 ECC 需求 使用模块面积估算 SRAM 容量,标注"待确认"
关键路径缺失 无时序数据 标注"待 STA 验证",给出保守建议(+20% 裕量)
热分析数据缺失 无功耗分布 基于均匀分布假设,标注"需热仿真确认"

检查点

  • 检查前:展示可靠性等级和评估维度列表,确认范围
  • 检查后:展示风险等级表和缓解方案,用户确认后输出 KDR
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 · 68 lines · 73 tokens per session scan A 674971462a80

Subscribe to this mod's changes

chip-reliability-architect is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 73 tokens to every session and 928 once invoked, about $0.0004 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 2026-09-03.

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