Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/zhaixin244-wq/fnwnpx agentmods add skills/zhaixin244-wq/fnw/chip-microarch-chart-workflowWrote 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-microarch-chart-workflow)<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-microarch-chart-workflow"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-microarch-chart-workflow/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-microarch-chart-workflow"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-microarch-chart-workflow.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 | $0.00081 | $0.01458 |
| Opus 5 | $0.00041 | $0.00729 |
| Sonnet 5 | $0.00016 | $0.00292 |
| Haiku 4.5 | $0.00008 | $0.00146 |
Grade A, and why
chip-microarch-chart-workflow 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 11d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
微架构图表生成工作流
本 skill 封装微架构文档中图表生成的标准化流程,确保每个子模块的图表完整生成。
输入参数
{
"module": "data_adpt",
"submodule": "input_if_mod",
"output_dir": "work/data_adpt_work/ds/doc/ua/tmp",
"charts": ["arch", "datapath", "fsm", "timing", "intf"]
}
工作流程
1. 架构图(arch)
1. Read 模块功能描述
2. Write wd_{sub}_arch.d2 到 {output_dir}/
3. 调用 Skill: chip-png-d2-gen
- d2_file: {output_dir}/wd_{sub}_arch.d2
- output_dir: {output_dir}/
4. Bash: 验证 {output_dir}/wd_{sub}_arch.png 存在
2. 数据通路图(datapath)
1. Read 数据通路描述
2. Write wd_{sub}_datapath.d2 到 {output_dir}/
3. 调用 Skill: chip-png-d2-gen
- d2_file: {output_dir}/wd_{sub}_datapath.d2
- output_dir: {output_dir}/
4. Bash: 验证 {output_dir}/wd_{sub}_datapath.png 存在
3. 状态机图(fsm)
1. Read 状态定义和转移条件
2. Write wd_{sub}_fsm.d2 到 {output_dir}/
3. 调用 Skill: chip-png-d2-gen
- d2_file: {output_dir}/wd_{sub}_fsm.d2
- output_dir: {output_dir}/
4. Bash: 验证 {output_dir}/wd_{sub}_fsm.png 存在
4. 时序图(timing)
1. Read 接口协议描述
2. Write wd_{desc}.json 到 {output_dir}/
3. 调用 Skill: chip-png-wavedrom-gen
- json_file: {output_dir}/wd_{desc}.json
- output_dir: {output_dir}/
4. Bash: 验证 {output_dir}/wd_{desc}.png 存在
5. 端口图(intf)
1. Read 端口列表
2. Write wd_intf_{sub}.json 到 {output_dir}/
3. 调用 Skill: chip-png-interface-gen
- json_file: {output_dir}/wd_intf_{sub}.json
- output_dir: {output_dir}/
4. Bash: 验证 {output_dir}/wd_intf_{sub}.png 存在
批量编译
node .claude/skills/chip-png-wavedrom-gen/gen_wavedrom.js {output_dir}/
验证清单
# 验证所有 .d2 有对应 .png
for f in {output_dir}/wd_*.d2; do
[ -f "${f%.d2}.png" ] || echo "MISSING: ${f%.d2}.png"
done
# 验证所有 .json 有对应 .png
for f in {output_dir}/wd_*.json; do
[ -f "${f%.json}.png" ] || echo "MISSING: ${f%.json}.png"
done
使用示例
示例 1:
- 用户:「为 data_adpt 的 input_if_mod 生成全套微架构图表」
- 行为:依次生成架构图(.d2→.png)、数据通路图、状态机图、时序图(.json→.png)、端口图,验证所有 PNG 存在
示例 2:
- 用户:「只帮我编译 output_ctrl 的状态机图」
- 行为:读取
wd_output_ctrl_fsm.d2,调用d2 --layout dagre编译为 PNG,验证输出文件存在
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.
- 11d ago First seen · 147 lines · 81 tokens per session scan A da259104c7cb
chip-microarch-chart-workflow is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 81 tokens to every session and 1,458 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 2026-08-30.
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