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 AmineDjeghri/personal-os-setup --skill project-templatesgit clone --depth 1 https://github.com/AmineDjeghri/personal-os-setupWrote 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/aminedjeghri/personal-os-setup/project-templates)<a href="https://agentmods.dev/skills/aminedjeghri/personal-os-setup/project-templates"><img src="https://agentmods.dev/badge/skills/aminedjeghri/personal-os-setup/project-templates/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/aminedjeghri/personal-os-setup/project-templates"><img src="https://agentmods.dev/badge/skills/aminedjeghri/personal-os-setup/project-templates.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 | $0.00045 | $0.00417 |
| Opus 5 | $0.00023 | $0.00209 |
| Sonnet 5 | $0.00009 | $0.00083 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
project-templates 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 2d 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
Starting a new project — pick a template
Never start from an empty repo. Fork the template matching the project type — all three already ship CI/CD, GitHub Pages docs site, pre-commit, and release tooling, so you replace content, not plumbing.
| Build target | Fork | Stack / notes |
|---|---|---|
| Python package / library | python-package-template | uv-based package, tests, pre-commit, semantic-release |
| Generative-AI project, or full-stack (backend + frontend) | generative-ai-project-template | FastAPI + NiceGUI; litellm/ollama (cloud + local LLMs); langfuse observability |
| Home Assistant addon | ha-addons (octo-fiesta pattern: per-addon config.yaml/Dockerfile/run.sh, HA Store release flow) — or fork it as the base for your own addon collection |
Rules:
- Match the type first (package vs gen-ai/full-stack vs addon) — don't retrofit a template.
- Fork, don't clone — keep the upstream link so template improvements can be pulled in later.
- After forking, make the repo self-describing: add
AGENTS.md/CLAUDE.md+.claude/skills/(seerepo-conventions) so any agent works in it correctly from day one. - Rebrand/rename the package per the template's own README before first use.
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.
- 2d ago First seen · 22 lines · 45 tokens per session scan A 28c4f4e404c0
project-templates is a skill published in the GitHub repository AmineDjeghri/personal-os-setup (602 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 417 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 2026-09-08.
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