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 sawrus/agent-guides --skill native-modulesgit clone --depth 1 https://github.com/sawrus/agent-guidesWrote 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/sawrus/agent-guides/native-modules)<a href="https://agentmods.dev/skills/sawrus/agent-guides/native-modules"><img src="https://agentmods.dev/badge/skills/sawrus/agent-guides/native-modules/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/sawrus/agent-guides/native-modules"><img src="https://agentmods.dev/badge/skills/sawrus/agent-guides/native-modules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.00295 |
| Opus 5.5 | $0.00016 | $0.00118 |
| Sonnet 5.5 | $0.00008 | $0.00059 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
native-modules 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 8d 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
Skill: Native Module Integration
When to load
When integrating device APIs, bridging to native SDKs, or debugging platform-specific behavior.
When to Use Native Modules
Use Native Module:
- Device hardware (camera, accelerometer, NFC, Bluetooth)
- Cryptographic operations (device secure enclave)
- Computation-intensive tasks (image processing, on-device ML)
- Third-party SDKs without JS wrapper
Stay in JS/React Native:
- UI rendering and interactions
- Network requests
- State management
- Business logic not requiring device APIs
Biometric Authentication
import ReactNativeBiometrics from 'react-native-biometrics';
export async function authenticateWithBiometrics(): Promise<boolean> {
const rnBiometrics = new ReactNativeBiometrics({ allowDeviceCredentials: true });
const { biometryType } = await rnBiometrics.isSensorAvailable();
if (!biometryType) return authenticateWithPin();
const { success } = await rnBiometrics.simplePrompt({
promptMessage: biometryType === 'FaceID' ? 'Confirm with Face ID' : 'Confirm with fingerprint'
});
return success;
}
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.
- 8d ago Changed · +5 lines · +39 tokens per session c5833f34b6dd
- 1mo ago First seen · 39 lines · 0 tokens per session scan A 0d1068701282
native-modules is a skill published in the GitHub repository sawrus/agent-guides (19 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 295 once invoked, about $0.0002 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 2026-09-03.
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