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-png-wavedrom-gengit 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-png-wavedrom-gen)<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-png-wavedrom-gen"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-png-wavedrom-gen/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-png-wavedrom-gen"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-png-wavedrom-gen.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 | $0.00067 | $0.01943 |
| Opus 5 | $0.00034 | $0.00971 |
| Sonnet 5 | $0.00013 | $0.00389 |
| Haiku 4.5 | $0.00007 | $0.00194 |
Grade A, and why
chip-png-wavedrom-gen 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chip PNG Wavedrom Generator
任务
为芯片模块生成 Wavedrom 格式的时序图 JSON 源文件,通过 wavedrom-cli + playwright 编译为 PNG。
依赖
- Node.js
- 依赖包:见
requirements.txt(npm install) - D2 CLI(如需处理
.d2文件):见chip-png-d2-gen/requirements.txt - 工具路径:chromium 路径通过
CHROME_PATH环境变量或脚本内默认值配置
执行步骤
-
编写 JSON 源文件:将
.json文件写入项目输出目录,命名规则:wd_{描述}.json -
生成 PNG:
# 单文件:wavedrom-cli 生成 SVG,playwright 截图生成 PNG npx wavedrom --input <output_dir>/wd_xxx.json > <output_dir>/wd_xxx.svg # 批量(通过 gen_wavedrom.js,处理所有 wd_*.json + wd_*.d2) node .claude/skills/chip-png-wavedrom-gen/gen_wavedrom.js <output_dir><output_dir>为项目中存放图表源文件和输出 PNG 的目录。 -
在文档中引用:

Wavedrom JSON 格式规范
基本结构
{signal: [
{name: 'clk', wave: 'p.......'},
{name: 'valid', wave: '01..0...'},
{name: 'data', wave: 'x222x...', data: ['D0', 'D1', 'D2']},
]}
信号分组(推荐)
多组并行信号用二维数组,第一项为组名:
{signal: [
['上游请求',
{name: 'clk', wave: 'p.......'},
{name: 'req', wave: '010.....'},
{name: 'data', wave: 'x22x....', data: ['D0']},
],
['下游响应',
{name: 'clk', wave: 'p.......'},
{name: 'rsp', wave: '0..10...'},
],
['cycle',
{name: '', wave: '2222222', data: ['0','1','2','3','4','5','6']},
]
]}
wave 符号速查
| 符号 | 含义 | 用途 |
|---|---|---|
p |
时钟上升沿 | 时钟信号 |
P |
时钟下降沿 | 低有效时钟 |
n |
低电平 | 低有效信号 |
0 |
低电平/无效 | 默认状态 |
1 |
高电平/有效 | 有效状态 |
2 |
数据值 | 数据传输 |
3 |
高阻态 | 三态总线 |
x |
无关 | 未关心值 |
. |
保持前值 | 连续有效 |
= |
数据标签 | 配合 data 数组 |
- |
空/未画 | 跳过该区域 |
wave 常用模式
// Valid-Ready 握手
{name: 'valid', wave: '01...0.'},
{name: 'ready', wave: '0.1..0.'},
{name: 'data', wave: 'x222x..', data: ['D0','D1','D2']},
// 脉冲请求(单周期)
{name: 'req', wave: '010.....'},
// 多周期等待
{name: 'req', wave: '010.....'},
{name: 'rsp', wave: '0...10..'},
// 流水线(多级重叠)
{name: 's0_vld', wave: '01.01.0.'},
{name: 's1_vld', wave: '0.1.01.0'},
{name: 's2_vld', wave: '0..1.01.'},
// 地址-数据分离(读)
{name: 'arvalid', wave: '010......'},
{name: 'araddr', wave: 'x22x.....', data: ['A0']},
{name: 'rvalid', wave: '0...10...'},
{name: 'rdata', wave: 'x...22x..', data: ['D0','D1']},
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.
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.
- 12d ago First seen · 186 lines · 67 tokens per session scan A 5b3eb0ea3a1d
chip-png-wavedrom-gen is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 67 tokens to every session and 1,943 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.
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