yocto-deploy-flash

yocto-deploy-flash is a skill for Codex from prashantdivate/awesome-yocto-ai-agent-skills. It costs 102 tokens per session (527 once invoked), scanned A, original, MIT.

A deployment guide for Yocto-based embedded Linux systems, including selecting images, flashing boards, and checking boot logs. Yocto is a toolset for building custom Linux distributions for devices.

In plain words
What is it for?
It helps locate deployable images, choose the right flashing method, write images to SD or flash storage, and verify boot, networking, and applications.
Why use it?
It reduces the risk of flashing the wrong file or storage device and provides checks for confirming that a board boots correctly.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It helps locate deployable images, choose the right flashing method, write images to SD or flash storage, and verify boot, networking, and applications.

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Install with agentmods
npx agentmods add skills/prashantdivate/awesome-yocto-ai-agent-skills/yocto-deploy-flash
Install

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.

Any agent
npx skills add prashantdivate/awesome-yocto-ai-agent-skills --skill yocto-deploy-flash
Clone the repo
git clone --depth 1 https://github.com/prashantdivate/awesome-yocto-ai-agent-skills

Made for: Codex.

Wrote 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.

agentmods badge for yocto-deploy-flash

README.md
[![agentmods](https://agentmods.dev/badge/skills/prashantdivate/awesome-yocto-ai-agent-skills/yocto-deploy-flash/github.svg)](https://agentmods.dev/skills/prashantdivate/awesome-yocto-ai-agent-skills/yocto-deploy-flash)
Your own site
<a href="https://agentmods.dev/skills/prashantdivate/awesome-yocto-ai-agent-skills/yocto-deploy-flash"><img src="https://agentmods.dev/badge/skills/prashantdivate/awesome-yocto-ai-agent-skills/yocto-deploy-flash/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.

agentmods 80×15 button for yocto-deploy-flash

Your own site · 80×15
<a href="https://agentmods.dev/skills/prashantdivate/awesome-yocto-ai-agent-skills/yocto-deploy-flash"><img src="https://agentmods.dev/badge/skills/prashantdivate/awesome-yocto-ai-agent-skills/yocto-deploy-flash.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 527 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00102 $0.00527
Opus 5 $0.00051 $0.00264
Sonnet 5 $0.00020 $0.00105
Haiku 4.5 $0.00010 $0.00053

Measured 11d ago against content hash 550aac0e54c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

yocto-deploy-flash 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/find_yocto_artifacts.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

yocto-deploy-flash/SKILL.md · 35 lines

What it actually says

Yocto Deploy Flash

Safety First

Flashing can erase disks or boards. Before any write command, require the target device, board model, storage medium, artifact path, and recovery method to be explicit. For removable media, ask the user to confirm the block device after lsblk/Disk Management and after unplug/replug comparison.

Workflow

  1. Identify board, SoC, MACHINE, boot medium, RAM/storage variant, and vendor flashing tool.
  2. Find deploy artifacts with find_yocto_artifacts.py and the build directory or repository root.
  3. Match artifact type to deployment path:
    • .wic, .wic.bz2, .wic.gz, .wic.zst, .sdimg: whole-disk removable media images.
    • .bmap: use with matching .wic* through bmaptool.
    • .ext4, .tar.*: partition/rootfs payloads, not usually whole-disk images.
    • .ubi, .ubifs, .mtdimg: raw flash/NAND/NOR workflows.
    • bootloader, DTB, kernel, FIP, TF-A, flash-layout TSV: board/vendor-specific boot flows.
  4. Prefer board vendor docs for boot switches, DFU modes, flash layouts, and recovery.
  5. Verify boot on serial console. Capture bootloader, kernel, rootfs, network, and application checkpoints.

References

Guardrails

  • Never guess /dev/sdX, /dev/mmcblkX, or Windows physical drive numbers.
  • Do not flash compressed images directly unless the tool supports the compression.
  • Do not assume STM32, NXP, TI, Xilinx, Microchip, Raspberry Pi, or Intel workflows are interchangeable.
  • Treat third-party board skills as examples; verify with official vendor and Yocto docs.
Files

What ships with it

3 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.

Changes

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.

  1. 11d ago First seen · 35 lines · 102 tokens per session scan A 550aac0e54c1

Subscribe to this mod's changes

yocto-deploy-flash is a skill published in the GitHub repository prashantdivate/awesome-yocto-ai-agent-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 102 tokens to every session and 527 once invoked, about $0.0005 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 2026-08-31.

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