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.
git clone --depth 1 https://github.com/jzl-maker/EA-SKILLWrote 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/commands/jzl-maker/ea-skill/map)<a href="https://agentmods.dev/commands/jzl-maker/ea-skill/map"><img src="https://agentmods.dev/badge/commands/jzl-maker/ea-skill/map/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/commands/jzl-maker/ea-skill/map"><img src="https://agentmods.dev/badge/commands/jzl-maker/ea-skill/map.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 | $0.00000 | $0.01234 |
| Opus 5.5 | $0.00000 | $0.00494 |
| Sonnet 5.5 | $0.00000 | $0.00247 |
| Haiku 4.5 | $0.00000 | $0.00123 |
Grade A, and why
map 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 1mo 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
命令: /ea map (Map 文件解析)
功能
解析 Keil 编译生成的 .map 文件，输出 对象内存排行 / 内存分段分布 / 符号地址映射 / 栈堆详情，用于定位内存大户、核对链接布局、查符号地址。
| 能力 | 参数 | 数据来源 |
|---|---|---|
| 对象内存排行 | --objects [N] |
Image component sizes（逐 .o 的 Code/RO/RW/ZI） |
| 内存分段分布 | --regions |
Execution Region（exec/load base、size、max、使用率） |
| 符号排行/查询 | --symbols [FILTER] |
Global Symbols + Image Symbol Table |
| 栈/堆详情 | --stack |
STACK/HEAP Section + __initial_sp/__heap_base 地址 |
适用：Keil MDK 工程（armcc v5 / armclang v6 的 .map 格式）。GCC/其他工具链暂不支持。
调用方式
py <SKILL>/tools/resource/scripts/map_tool.py --project <工程目录>
# 自动扫描工程下最新 .map → 默认对象排行
# 显式指定 .map
py .../map_tool.py --map build/xxx.map --objects # 对象排行（默认）
py .../map_tool.py --map build/xxx.map --objects --top 5 # 只看前 5
# 内存分段分布
py .../map_tool.py --map build/xxx.map --regions
# 符号排行（size>0 按字节降序）
py .../map_tool.py --map build/xxx.map --symbols
# 精确查符号地址映射（名字子串 或 0x 地址）
py .../map_tool.py --map build/xxx.map --symbols __initial_sp
# 栈/堆详情
py .../map_tool.py --map build/xxx.map --stack
参数表
| 参数 | 必须 | 说明 |
|---|---|---|
--map <file> |
是（动作） | 显式指定 .map 文件 |
--project <dir> |
是（动作） | 工程目录，扫描最新 .map |
--objects |
是（动作，默认） | 对象内存排行 |
--regions |
是（动作） | 内存分段分布 |
--symbols [FILTER] |
是（动作） | 符号排行；带名字/地址过滤则精确查询 |
--stack |
是（动作） | 栈/堆详情 |
--top N |
否 | 排行条数（默认 20） |
--json |
否 | 结构化 JSON 输出（整个解析结果） |
--dry-run |
否 | 只打印流程不解析 |
工作流程（AI 执行闭环）
1. 定位 .map --project 扫描，或 --map 显式指定
2. 按需取数：
--objects 哪个 .o 占内存最多（字库/协议栈/业务模块）
--regions 代码/数据落在哪些区，各区使用率（核对链接脚本）
--symbols 找内存大户变量/函数，或查某符号的地址（配合 /ea debug 断点）
--stack 栈/堆分配量 + 初始 SP 地址
3. 分析 内存占比是否合理 → 定位优化对象或异常区
示例闭环：/ea map --objects --top 10 → ehfont_init.o（.constdata 字库 25KB）占大头 → 判断字库是否该挪外部 Flash。
注意事项
- 排行口径：对象按
Code+RO+RW+ZI总量降序；符号只列size>0的（Section/Data/Code 类型），Number调试符号已过滤。 --symbols FILTER是子串匹配，0x开头按地址精确匹配；空过滤（--symbols不带值）则排行。- 栈/堆是分配量：STACK/HEAP 是 startup 定义值；运行期峰值用
/ea debug读 SP 测量。 - GBK 编码兼容：工程路径含中文时 .map 可能是 GBK 编码，解析器自动回退。
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.
- 1mo ago Changed 66d9277189cb
- 1mo ago Changed 411f21c5260f
- 1mo ago First seen · 86 lines · 0 tokens per session scan A 973210516559
map is a command published in the GitHub repository jzl-maker/EA-SKILL (9 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,234 tokens. 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 2026-08-31.
Other commands, from other repositories
cortex-m
Generate Cortex-M startup code or a linker script, configure a core subsystem, decode a fault, or add DWT timing.
debug-embedded
Attach a debugger, halt and inspect a target, decode fault registers, or configure ITM, SWO, or ETM trace.
esp-debug
Help debug ESP32 crashes, hangs, and peripheral issues.
hw-bringup
Drive the hardware bring-up checkpoint ladder when something won't come up.
debug
Start GDB debug session with OpenOCD or probe-rs.
fix
Command "fix" from mantacron/manta, covering usage, instructions, step 1: choose the report, step 2: extract findings and step 3: run remediation-agent.