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.
npx skills add zhaixin244-wq/fnw --skill chip-review-checklistergit clone --depth 1 https://github.com/zhaixin244-wq/fnwWrote 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.
[](https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-review-checklister)<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-review-checklister"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-review-checklister/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.
<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-review-checklister"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-review-checklister.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00061 | $0.00824 |
| Opus 5 | $0.00030 | $0.00412 |
| Sonnet 5 | $0.00012 | $0.00165 |
| Haiku 4.5 | $0.00006 | $0.00082 |
Grade A, and why
chip-review-checklister 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.
What it actually says
Chip Review Checklister
任务
生成针对芯片模块架构的评审 Checklist 并标注风险等级。
评审维度
- 架构完整性：是否有明确的模块边界、数据通路、控制逻辑？
- 接口精确性：信号位宽、时钟域、复位策略、握手协议是否完整？
- PPA 可行性：指标是否量化、是否经过快速建模、是否有裕量？
- 时序收敛：关键路径是否已识别、流水线级数是否合理？
- CDC 安全：跨时钟域信号是否已识别、同步策略是否正确？
- 低功耗设计：Power Domain 划分、Iso/Retention、UPF 意图是否清晰？
- 可靠性：SEU 防护、老化降额、电压降/EM 评估是否到位？
- 验证策略：功能覆盖率计划、断言、形式验证范围是否定义？
- RTL 可综合性：代码规范、Clock/Reset 策略、DFT 友好性。
执行步骤
- 针对用户提供的架构文档或描述，逐项检查并给出状态（Pass / Fail / N/A / Open）。
- 对 Fail/Open 项标注风险等级（Critical / High / Medium / Low）并给出具体建议。
- 输出 Schema 级完整性评分（百分比）。
输出格式
| 检查项 | 状态 | 风险等级 | 发现/建议 |
|--------|------|----------|-----------|
| 关键路径已识别 | Pass | - | - |
| CDC 同步策略 | Open | High | 缺少异步 FIFO 深度计算 |
**完整性评分：X/Y (Z%)**
使用示例
示例 1：
- 用户：「评审 data_adpt 的微架构文档」
- 行为：逐项检查架构完整性、接口精确性、PPA 可行性、CDC 安全等 9 个维度，对 Fail/Open 项标注风险等级，输出评审 Checklist
示例 2：
- 用户：「帮我检查 buf_mgr 的 RTL 可综合性」
- 行为：聚焦 RTL 可综合性维度，检查编码规范、Clock/Reset 策略、DFT 友好性，输出检查结果和建议
异常处理
| 场景 | 触发条件 | 处理动作 |
|---|---|---|
| 文档缺失 | 架构文档路径无效 | 暂停，提示用户提供文档 |
| 评审维度不适用 | 模块无 CDC/低功耗需求 | 对应维度标记 N/A |
| 信息不足 | 文档描述过于简略 | 对无法判断项标记 Open，标注 [REVIEW-NEED-MORE] |
检查点
检查前：
- 确认架构文档路径有效
- 确认评审维度已明确（全量/聚焦）
检查后：
- 确认 9 个维度均已检查并标注状态
- 确认 Fail/Open 项已标注风险等级
- 确认完整性评分已输出
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.
- 9d ago First seen · 65 lines · 61 tokens per session scan A 18298a1dc2c5
chip-review-checklister is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 824 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 2026-09-03.
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