apple-foundation-models-error-recovery

apple-foundation-models-error-recovery is a skill for Codex from sambitcreate/Swift-Foundation-Models-Skills. It costs 23 tokens per session (195 once invoked), scanned A, original, MIT.

Error-handling guidance for Apple’s Foundation Models, including context overflow, refusals, rate limits, and generation failures.

In plain words
What is it for?
Use it when implementing or debugging recovery paths in an iOS or macOS app that uses Foundation Models.
Why use it?
It helps your app respond safely when a model cannot complete a request or is temporarily unavailable.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it when implementing or debugging recovery paths in an iOS or macOS app that uses Foundation Models.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sambitcreate/swift-foundation-models-skills/apple-foundation-models-error-recovery
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 sambitcreate/Swift-Foundation-Models-Skills --skill apple-foundation-models-error-recovery
Clone the repo
git clone --depth 1 https://github.com/sambitcreate/Swift-Foundation-Models-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 apple-foundation-models-error-recovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/sambitcreate/swift-foundation-models-skills/apple-foundation-models-error-recovery/github.svg)](https://agentmods.dev/skills/sambitcreate/swift-foundation-models-skills/apple-foundation-models-error-recovery)
Your own site
<a href="https://agentmods.dev/skills/sambitcreate/swift-foundation-models-skills/apple-foundation-models-error-recovery"><img src="https://agentmods.dev/badge/skills/sambitcreate/swift-foundation-models-skills/apple-foundation-models-error-recovery/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/sambitcreate/swift-foundation-models-skills/apple-foundation-models-error-recovery"><img src="https://agentmods.dev/badge/skills/sambitcreate/swift-foundation-models-skills/apple-foundation-models-error-recovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 195 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 $0.00023 $0.00195
Opus 5 $0.00012 $0.00097
Sonnet 5 $0.00005 $0.00039
Haiku 4.5 $0.00002 $0.00019

Measured 12d ago against content hash d1df34d14d6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

apple-foundation-models-error-recovery 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 12d 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.

skills/apple-foundation-models-error-recovery/SKILL.md · 36 lines

What it actually says

Error Recovery

Use when

  • Working with error recovery in your iOS/macOS project
  • Implementing features related to error recovery
  • Debugging issues with error recovery

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

  1. Review the skill documentation
  2. Check references/guide.md for code examples
  3. Implement according to your use case
  4. 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.

Files

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.

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. 12d ago First seen · 36 lines · 23 tokens per session scan A d1df34d14d6c

Subscribe to this mod's changes

apple-foundation-models-error-recovery is a skill published in the GitHub repository sambitcreate/Swift-Foundation-Models-Skills (24 stars, last pushed 6mo ago), licensed MIT. It adds 23 tokens to every session and 195 once invoked, about $0.0001 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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