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 prashantdivate/awesome-yocto-ai-agent-skills --skill yocto-security-otagit clone --depth 1 https://github.com/prashantdivate/awesome-yocto-ai-agent-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/prashantdivate/awesome-yocto-ai-agent-skills/yocto-security-ota)<a href="https://agentmods.dev/skills/prashantdivate/awesome-yocto-ai-agent-skills/yocto-security-ota"><img src="https://agentmods.dev/badge/skills/prashantdivate/awesome-yocto-ai-agent-skills/yocto-security-ota/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/prashantdivate/awesome-yocto-ai-agent-skills/yocto-security-ota"><img src="https://agentmods.dev/badge/skills/prashantdivate/awesome-yocto-ai-agent-skills/yocto-security-ota.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 | $0.00093 | $0.00344 |
| Opus 5.5 | $0.00037 | $0.00138 |
| Sonnet 5.5 | $0.00019 | $0.00069 |
| Haiku 4.5 | $0.00009 | $0.00034 |
Grade A, and why
yocto-security-ota 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 2mo 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.
What it actually says
Yocto Security OTA
Workflow
- Identify threat model, update model, physical access assumptions, recovery path, and regulatory constraints.
- Inspect image package set, enabled services, network listeners, users, credentials, SSH policy, firewall, and debug features.
- Check Yocto release security status, CVE tooling, license manifests, and SBOM/SPDX output.
- Select update strategy: full image, package feed, A/B slots, bootloader-managed rollback, OSTree, RAUC, Mender, SWUpdate, or vendor OTA.
- Tie secure boot and artifact signing to key management and manufacturing flows.
- Verify with boot tests, rollback tests, power-cut tests, and update failure tests.
References
- security-ota-playbook.md: hardening, CVE/SBOM, firewall, secure boot, and OTA workflows.
Guardrails
- Do not promise security from package removal alone.
- Do not add firewall rules without documenting network services and default policy.
- Do not recommend OTA updates without rollback and recovery planning.
- Do not put signing keys, credentials, or production secrets in layers or CI logs.
What ships with it
2 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.
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.
- 2mo ago First seen · 27 lines · 93 tokens per session scan A 410a692e2778
yocto-security-ota is a skill published in the GitHub repository prashantdivate/awesome-yocto-ai-agent-skills (4 stars, last pushed 4mo ago), licensed MIT. It adds 93 tokens to every session and 344 once invoked, about $0.0004 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 2026-08-31.
yocto-security-ota compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| yocto-security-otaprashantdivate/awesome-yocto-ai-agent-skills | Skill | 4 | 4mo ago | MIT | A | 93 | Codex |
| eidezhinkgit/embeddedskills | Skill | 785 | 18d ago | MIT | A | 151 | Claude Code |
| workflowzhinkgit/embeddedskills | Skill | 785 | 18d ago | MIT | A | 88 | Claude Code |
| lov-migrate-camera-medialovstudio/skills | Skill | 72 | 3d ago | MIT | A | 86 | Claude Code |
| robot-perceptionarpitg1304/robotics-agent-skills | Skill | 393 | 2mo ago | Apache-2.0 | A | 181 | Claude Code, Codex |
| robotics-software-principlesarpitg1304/robotics-agent-skills | Skill | 393 | 2mo ago | Apache-2.0 | A | 140 | Claude Code, Codex |
| robotics-design-patternsarpitg1304/robotics-agent-skills | Skill | 393 | 2mo ago | Apache-2.0 | A | 120 | Claude Code, Codex |