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 sambitcreate/Swift-Foundation-Models-Skills --skill apple-foundation-models-rag-pipelinegit clone --depth 1 https://github.com/sambitcreate/Swift-Foundation-Models-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/sambitcreate/swift-foundation-models-skills/apple-foundation-models-rag-pipeline)<a href="https://agentmods.dev/skills/sambitcreate/swift-foundation-models-skills/apple-foundation-models-rag-pipeline"><img src="https://agentmods.dev/badge/skills/sambitcreate/swift-foundation-models-skills/apple-foundation-models-rag-pipeline/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/sambitcreate/swift-foundation-models-skills/apple-foundation-models-rag-pipeline"><img src="https://agentmods.dev/badge/skills/sambitcreate/swift-foundation-models-skills/apple-foundation-models-rag-pipeline.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 | $0.00022 | $0.00194 |
| Opus 5 | $0.00011 | $0.00097 |
| Sonnet 5 | $0.00004 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
apple-foundation-models-rag-pipeline 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.
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.
This is a copy
84% identical to apple-foundation-models-dynamic-schemas — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Rag Pipeline
Use when
- Working with rag pipeline in your iOS/macOS project
- Implementing features related to rag pipeline
- Debugging issues with rag pipeline
Don't use when
- Just doing basic chat (use apple-foundation-models-session-patterns)
- Need structured output specifically (use apple-foundation-models-structured-generation)
Workflow
- Review the skill documentation
- Check references/guide.md for code examples
- Implement according to your use case
- Test with actual model interactions
Hard rules
- Follow Apple platform guidelines
- Handle errors gracefully
- Respect user privacy and data handling
References
See references/guide.md for code examples and repo file paths.
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.
- 11d ago First seen · 36 lines · 22 tokens per session scan A 66ca98c81371
apple-foundation-models-rag-pipeline is a skill published in the GitHub repository sambitcreate/Swift-Foundation-Models-Skills (24 stars, last pushed 6mo ago), licensed MIT. It adds 22 tokens to every session and 194 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to apple-foundation-models-dynamic-schemas, differing in 12 lines, and is treated as a copy.
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