Borrowing it
Nothing to install: this file belongs to frogobox/frogo-sdk. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/frogobox/frogo-sdk/master/.agents/skills/camerax/SKILL.mdgit clone --depth 1 https://github.com/frogobox/frogo-sdkWrote 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/frogobox/frogo-sdk/camerax)<a href="https://agentmods.dev/skills/frogobox/frogo-sdk/camerax"><img src="https://agentmods.dev/badge/skills/frogobox/frogo-sdk/camerax.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.01400 |
| Opus 5 | $0.00023 | $0.00700 |
| Sonnet 5 | $0.00009 | $0.00280 |
| Haiku 4.5 | $0.00005 | $0.00140 |
Grade A, and why
camerax 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 6d 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
94% identical to camerax — 2 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.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill provides procedural guidance and standard patterns for building
camera applications on Android, with a focus on CameraX, including its
Camera2Interop utilities, and Media3 integrations.
Core workflows
Handling immutable API patterns
Various Android camera and media APIs, especially CameraX VideoCapture, use a
fluent, immutable builder-like pattern where methods return a new instance.
Failing to reassign these results in settings, such as audio, being ignored.
Pattern: Reassignment is required
// WRONG
run {
val pending = recorder.prepareRecording(context, opts)
pending.withAudioEnabled() // This returns a new instance which is ignored
val active = pending.start(exec, listener)
}
// CORRECT
run {
val pending = recorder.prepareRecording(context, opts)
.withAudioEnabled() // Chaining works
val active = pending.start(exec, listener)
}
// ALSO CORRECT
run {
var pending = recorder.prepareRecording(context, opts)
pending = pending.withAudioEnabled() // Reassignment
val active = pending.start(exec, listener)
}
See immutability for a list of affected classes.
Migrating to CameraX
When migrating legacy camera codebases to the CameraX Jetpack library:
- Camera1 to CameraX : For migrating legacy
android.hardware.Cameraimplementations, surface handling, and manual lifecycles, see the Camera1 migration guide. - Camera2 to CameraX : For migrating more recent but verbose
android.hardware.camera2implementations, session state callbacks, and interop patterns, see the Camera2 migration guide.
Comprehensive feature blueprinting
For multi-step features that involve multiple files and hardware-level wiring, follow the Structural Blueprinting approach to avoid system timeouts. Such complex features include:
- Manual controls : Break down into the
ViewModelstate, the controller layer, and theCamera2Interopwiring in the session. - RAW capture: Separate JPEG and RAW output configurations into discrete build steps.
- Custom effects : Prefer
Media3EffectorSurfaceProcessorover manual OpenGL pipelines unless absolute performance is required. - Low-light : See low-light for Night Mode and LLB guidance.
- Foldables : See foldables for handling dynamic postures and hinge states.
- XR, AR, and VR : See xr for spatial tracking, passthrough synchronization, and latency guardrails.
- Thermals and power : See thermals for managing
StreamUseCaseoptimizations andPowerManagerthermal states. - Testing and mocking : See testing for using
FakeCameraConfig, handling asynchronous lifecycles, and validating analysis pipelines. - ML Kit spatial analysis : See mlkit-spatial for coordinate mapping, rotation logic, and mirrored lens handling.
- Wear OS camera remote : See wear-os for circular UI constraints, Data Layer API syncing, and remote trigger logic.
What ships with it
12 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.
- references/camera1-to-camerax.md 5.4 KB
- references/camera2-to-camerax.md 5.6 KB
- references/expert-blueprints.md 2.1 KB
- references/foldables.md 3.0 KB
- references/immutability.md 1.7 KB
- references/low-light.md 4.5 KB
- references/mlkit-spatial.md 2.8 KB
- references/modern-apis.md 2.0 KB
- references/testing.md 2.5 KB
- references/thermals.md 3.1 KB
- references/wear-os.md 2.7 KB
- references/xr.md 2.4 KB
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.
- 6d ago First seen · 133 lines · 47 tokens per session scan A 750852f6d780
camerax is a skill published in the GitHub repository frogobox/frogo-sdk (21 stars, last pushed 4d ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,400 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to camerax, differing in 2 lines, and is treated as a copy.
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