Osaurus is a native macOS application that provides AI agents with memory, tools, autonomous execution, and identity around local or cloud models. It is used by people who want agents to run on their Mac, including fully offline with local models, and the catalogue entry contains an instruction and rule for working with it.
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.
git clone --depth 1 https://github.com/osaurus-ai/osaurusWrote 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/rules/osaurus-ai/osaurus/settings-catalog)<a href="https://agentmods.dev/rules/osaurus-ai/osaurus/settings-catalog"><img src="https://agentmods.dev/badge/rules/osaurus-ai/osaurus/settings-catalog/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/rules/osaurus-ai/osaurus/settings-catalog"><img src="https://agentmods.dev/badge/rules/osaurus-ai/osaurus/settings-catalog.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 | $0.00000 | $0.00344 |
| Opus 5.5 | $0.00000 | $0.00138 |
| Sonnet 5.5 | $0.00000 | $0.00069 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
settings-catalog 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 1mo 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
Settings catalog
SettingsSearchIndex is the single catalog for Management search and the
Orchestrator (osaurus_help action find). Do not add a second settings
list to the orchestrator prompt.
When you add, remove, rename, move, or relabel a user-facing setting:
- Update the row in
SettingsSearchIndex.swift(id, tab, exact UI title, keywords,subTab,disambiguation,declarativeSection). - Put the same id on the control (
settingsLandingAnchor/anchorId). - Fix any guide path that names the old location (
guide-settings.mdand related topics). - Add the on-screen label to
SettingsSearchSelfFindProbe.swift.
A control that is not in the catalog is not shipped.
// BAD — new toggle, no catalog row
SettingsToggle(title: L("Smooth Streaming"), isOn: $smooth)
// GOOD — same id in the index and on the control
SettingsToggle(title: L("Smooth Streaming"), isOn: $smooth)
.settingsLandingAnchor("settings.chat.smoothStreaming")
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.
- 1mo ago First seen · 32 lines · 0 tokens per session scan A 584e54b1dd53
settings-catalog is a cursor rule published in the GitHub repository osaurus-ai/osaurus (8,049 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 344 tokens. 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 2026-09-14.
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