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recamera-intellisense

Registers reCamera devices, configures AI detection models/rules/schedules, monitors and clears detection events, fetches event snapshots, and runs manual image/video capture. Uses local Python CLI scripts with JSON I/O. Triggers on camera onboarding, detection setup, event polling, snapshot capture, or reCamera automation tasks.

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Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install ichizer0/recamera-intellisense

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

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Skill instructions

reCamera Intellisense

Requirements

  • python3 (no external packages)
  • Reachable reCamera HTTP API (default port 80)
  • Credentials stored in ~/.recamera/devices.json (created automatically; declared in skill metadata)

Security considerations

  • Credential storage: Device tokens are stored in ~/.recamera/devices.json. Protect this file with appropriate permissions (chmod 600) and do not place unrelated secrets there.
  • Plain HTTP transport: Communication to devices uses HTTP (port 80) by default — data including images and tokens travels unencrypted. Configure HTTPS on your devices if operating on untrusted networks.
  • Trusted networks only: The skill polls devices and downloads snapshot/image files. Only use it with cameras on networks you trust.
  • Camera-specific tokens: Use dedicated per-camera tokens (sk_xxx). Do not reuse tokens shared with cloud services.
  • Source review: The bundle includes full Python sources under scripts/. Review them to verify behavior matches your expectations before granting autonomous execution.

Scripts

All scripts live under {baseDir}/scripts and accept one JSON object as CLI argument (optional for detect_local_device and list_devices).

  • device_manager.py: add/update/remove/list/get device credentials, file download
  • detection_manager.py: models, schedule, rules, events, event-image fetch
  • capture_manager.py: capture status/start/stop, one-shot image capture

Full API signatures and CLI schemas: See REFERENCE.md

Agent rules

  1. Always pass complete JSON; never use interactive prompts.
  2. Use exactly one of device_name (preferred) or inline device.
  3. Auth token format: sk_xxx (from Web Console → Device Info → Connection Settings → HTTP/HTTPS Settings).
  4. To detect by label name: call get_detection_models_info, map name → label index, use index in label_filter.
  5. Poll get_detection_events every 1–10s; pass `start_unix_m...

Source information

Source
github
Repository
openclaw/skills
Path
skills/ichizer0/recamera-intellisense
Version
—
Commit
8d2e070c248d7fd66c3c4a8945ddf5c7dc10077a
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# reCamera Intellisense

## Requirements

- `python3` (no external packages)
- Reachable reCamera HTTP API (default port `80`)
- Credentials stored in `~/.recamera/devices.json` (created automatically; declared in skill metadata)

## Security considerations

- **Credential storage**: Device tokens are stored in `~/.recamera/devices.json`. Protect this file with appropriate permissions (`chmod 600`) and do not place unrelated secrets there.
- **Plain HTTP transport**: Communication to devices uses HTTP (port 80) by default — data including images and tokens travels unencrypted. Configure HTTPS on your devices if operating on untrusted networks.
- **Trusted networks only**: The skill polls devices and downloads snapshot/image files. Only use it with cameras on networks you trust.
- **Camera-specific tokens**: Use dedicated per-camera tokens (`sk_xxx`). Do not reuse tokens shared with cloud services.
- **Source review**: The bundle includes full Python sources under `scripts/`. Review them to verify behavior matches your expectations before granting autonomous execution.

## Scripts

All scripts live under `{baseDir}/scripts` and accept **one JSON object** as CLI argument (optional for `detect_local_device` and `list_devices`).

- **`device_manager.py`**: add/update/remove/list/get device credentials, file download
- **`detection_manager.py`**: models, schedule, rules, events, event-image fetch
- **`capture_manager.py`**: capture status/start/stop, one-shot image capture

**Full API signatures and CLI schemas**: See [REFERENCE.md](REFERENCE.md)

## Agent rules

1. Always pass complete JSON; never use interactive prompts.
2. Use exactly one of `device_name` (preferred) or inline `device`.
3. Auth token format: `sk_xxx` (from Web Console → Device Info → Connection Settings → HTTP/HTTPS Settings).
4. To detect by label name: call `get_detection_models_info`, map name → label index, use index in `label_filter`.
5. Poll `get_detection_events` every 1–10s; pass `start_unix_m...

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