Sensing Track

Sensing Track is an Automation skill for Claude Code, published by autonomous-ai in autonomous-os.

258 stars39 forkson autonomous-ai/autonomous-osAdded 2026/09/02+23% in starsRepository updated 2026/08/30

agentic-aiai-agentsclaude-codeembeddedllmopen-source-roboticsopenclawoperating-systemphysical-airaspberry-pireachy-miniroboticsrobotsvoice-assistant

Install in seconds

Install Sensing Track

Copy Sensing Track into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/autonomous-ai/autonomous-os/tree/main/skills/sensing-track ~/.claude/skills/sensing-track

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/autonomous-ai/autonomous-os.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/sensing-track/SKILL.md in autonomous-ai/autonomous-os
Installs to: ~/.claude/skills/sensing-track
Collection: One of 25 skills cataloged from this repository
Category: Automation — 1648 skills

What Sensing Track does

Sensing Track queries flow event logs to answer questions about past sensing events and activity. Use it to check presence, motion, voice, emotion, and snapshot history over a time range.

Sensing Track is cataloged under Automation on DirSkills. Sensing Track comes from a repository tagged agentic-ai, ai-agents, claude-code, embedded and llm.

Documentation

README

Excerpt

The primary data source is the flow events JSONL at /root/local/flow_events_YYYY-MM-DD.jsonl. Each file covers one calendar day (7-day retention, no size-rotation mid-day). Use Bash + jq to query it.

Important: Always use the absolute path /root/local/ — the read tool cannot access files outside the workspace, so use exec (Bash) for all JSONL queries.

Persistent camera snapshots are stored under /var/lib/hal/snapshots/sensing_<prefix>/<ms>.jpg (72h TTL, 50 MB cap) — one subdir per event kind:

Event type	Folder
`presence.enter`, `presence.leave`	`sensing_face/`
`motion.activity`	`sensing_motion_activity/`
`emotion.detected`	`sensing_emotion/`

This is the opening of the README. Read the full README on GitHub.

Commands Sensing Track provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/dm

Frequently asked about Sensing Track

What else does autonomous-ai publish alongside Sensing Track?
Sensing Track is one of 25 skills that DirSkills catalogs from autonomous-ai/autonomous-os, the repository it ships in. Its siblings there include Audio Control, Camera and Claude Buddy. Each one is a separate skill with its own page in this directory, installs the same way Sensing Track does, and is maintained by autonomous-ai in that same repository. The rest of the collection is listed on the autonomous-ai/autonomous-os page.
How does Sensing Track compare to other Automation skills?
Sensing Track ranks #1454 by stars among the 1648 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Sensing Track against them. Open each page to compare what they document and how they install.