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 easyzoom/aix-skills --skill cortex-m-debuggit clone --depth 1 https://github.com/easyzoom/aix-skillsWrote 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/easyzoom/aix-skills/cortex-m-debug)<a href="https://agentmods.dev/skills/easyzoom/aix-skills/cortex-m-debug"><img src="https://agentmods.dev/badge/skills/easyzoom/aix-skills/cortex-m-debug/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/easyzoom/aix-skills/cortex-m-debug"><img src="https://agentmods.dev/badge/skills/easyzoom/aix-skills/cortex-m-debug.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 | $0.00031 | $0.02274 |
| Opus 5.5 | $0.00012 | $0.00910 |
| Sonnet 5.5 | $0.00006 | $0.00455 |
| Haiku 4.5 | $0.00003 | $0.00227 |
Grade A, and why
cortex-m-debug 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cortex-M Debug
Overview
Use this skill to debug ARM Cortex-M firmware systematically. Start by identifying the exact MCU, board state, debug probe, toolchain, and failure phase, then choose the safest inspection path before changing flash, option bytes, clocks, or startup code.
When To Use
Use this skill when:
- The target is a Cortex-M MCU, such as Cortex-M0/M0+/M3/M4/M7/M23/M33/M55/M85.
- The user mentions SWD, JTAG, J-Link, ST-Link, CMSIS-DAP, OpenOCD, pyOCD, GDB, or vendor IDE debug.
- Firmware does not boot, cannot be flashed, stops in
Reset_Handler, hits HardFault, or has no UART/log output. - The task involves vector tables, startup files, linker scripts, clocks, reset behavior, or fault registers.
Do not use this skill when:
- The target is Cortex-R (use
cortex-r5-debug), embedded Linux, RISC-V, AVR, ESP8266, ESP32 Xtensa, or another non-Cortex-M architecture. - The user only needs application-level C code review with no target-specific debug context.
- The request is to modify production firmware or security configuration before collecting baseline evidence.
First Questions
Ask for the minimum context needed:
- MCU part number and board name.
- Core family if known, such as Cortex-M0+, M4F, M7, or M33.
- Current symptom: cannot connect, cannot flash, no boot, crash, hang, wrong peripheral behavior, or no logs.
- Debug probe: J-Link, ST-Link, CMSIS-DAP, DAPLink, ULINK, or onboard probe.
- Debug transport: SWD or JTAG.
- Toolchain and workflow: OpenOCD, pyOCD, J-Link GDB Server, STM32CubeIDE, Keil, IAR, PlatformIO, Zephyr, RTOS, or bare metal.
- Available artifacts: ELF, MAP file, linker script, startup file, OpenOCD config, boot log, fault dump, or GDB transcript.
Workflow
-
Classify the failure phase. Use these buckets: probe cannot connect, flash/download fails, reset/startup fails, runtime fault, peripheral bring-up fails, or low-power/wakeup fails.
-
Establish a non-destructive debug connection. Prefer connect-under-reset when firmware may reconfigure SWD pins, enter low power, or crash immediately.
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 First seen · 242 lines · 31 tokens per session scan A be77eb4b120a
cortex-m-debug is a skill published in the GitHub repository easyzoom/aix-skills (38 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 2,274 once invoked, about $0.0001 per session on Opus 5.5. 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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