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 agentmods add skills/easyzoom/aix-skills/embedded-buffer-queue-libsnpx skills add easyzoom/aix-skills --skill embedded-buffer-queue-libsgit clone --depth 1 https://github.com/easyzoom/aix-skillsWhat 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 | $0.00038 | $0.00612 |
| Opus 5 | $0.00019 | $0.00306 |
| Sonnet 5 | $0.00008 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
embedded-buffer-queue-libs 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 3d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Embedded Buffer Queue Libs
Overview
Use this skill for embedded ring buffers and lightweight queues. The core decision is ownership and concurrency: single producer/consumer, ISR-to-task, task-to-task, DMA-to-task, or multi-producer use.
When To Use
Use this skill when:
- The user wants to integrate or debug Ring-Buffer, QueueForMcu, circular buffers, FIFOs, UART RX buffers, log queues, or event queues.
- The issue involves overflow, data loss, race conditions, wraparound, off-by-one capacity, ISR safety, or DMA buffer handoff.
Do not use this skill for RTOS-native queues unless the issue is about wrapping a custom buffer around them.
First Questions
Ask for:
- Buffer/queue library and intended data type.
- Producer and consumer contexts: ISR, DMA, task, main loop, shell, or logger.
- Required behavior on full/empty: drop, overwrite oldest, block, error, or backpressure.
- Element size, capacity, maximum burst, and latency budget.
- Whether operations must be lock-free or protected by critical sections.
Integration Checklist
-
Define ownership. Specify exactly who writes, who reads, and whether there can be multiple producers or consumers.
-
Define full/empty semantics. Do not leave overwrite/drop/block behavior implicit.
-
Check capacity math. Many ring buffers hold
N-1items to distinguish full from empty. -
Protect concurrent access. Use interrupt masking, atomics, mutexes, or single-producer/single-consumer rules as appropriate.
-
Verify wraparound. Test writes and reads across the end of the buffer.
-
Add telemetry. Track high-water mark, overflow count, drop count, or queue full events.
Common Failures
- Race between ISR producer and task consumer.
- Off-by-one capacity causes one byte or one element to disappear.
- DMA writes into a buffer while CPU reads stale cached data.
- Full buffer silently overwrites critical data.
- Queue stores pointers to stack objects that go out of scope.
Verification
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.
- 3d ago First seen · 81 lines · 38 tokens per session scan A 5bb564099e52
embedded-buffer-queue-libs is a skill published in the GitHub repository easyzoom/aix-skills (31 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 612 once invoked, about $0.0002 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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