sensing-track

sensing-track is a skill for Claude Code, Codex from autonomous-ai/autonomous-os. It costs 48 tokens per session (3,402 once invoked), scanned A, original, Apache-2.0.

A tool for searching recent device-sensing records, such as detected people, movement, sound, light, or emotions. It can also refer to saved camera images linked to those records.

In plain words
What is it for?
Use it to answer questions about presence, motion, or other sensing events, including what the camera saw while someone was away.
Why use it?
It removes the need to inspect event files manually when you want to know what happened during a past time period.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to answer questions about presence, motion, or other sensing events, including what the camera saw while someone was away.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/autonomous-ai/autonomous-os/sensing-track
Install

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.

Any agent
npx skills add autonomous-ai/autonomous-os --skill sensing-track
Clone the repo
git clone --depth 1 https://github.com/autonomous-ai/autonomous-os

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for sensing-track

README.md
[![agentmods](https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/sensing-track.svg)](https://agentmods.dev/skills/autonomous-ai/autonomous-os/sensing-track)
Your own site
<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-os/sensing-track"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/sensing-track.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,402 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 192
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.03402
Opus 5 $0.00024 $0.01701
Sonnet 5 $0.00010 $0.00680
Haiku 4.5 $0.00005 $0.00340

Measured 8d ago against content hash 69584638f6f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

sensing-track scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "http://127.0.0.1:5000/api/openclaw/mood-history?date=$(date +%Y-%m-%d)&last=100"
skills/sensing-track/SKILL.md · 246 lines

How it starts

The opening of the file, as written. The whole thing — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sensing Event History

Quick Start

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/

Reference these when the user asks what happened visually.

JSONL format

Each line is a JSON object:

{"kind":"enter","node":"sensing_input","ts":1712345678.123,"seq":42,"trace_id":"run-abc","data":{"type":"presence.enter","message":"Person detected — 1 face(s) visible (friend (gray))\n[snapshot: /var/lib/hal/snapshots/sensing_face/1712345678123.jpg]"},"version":"1.2.3"}
{"kind":"exit","node":"sensing_input","ts":1712345678.456,"seq":43,"trace_id":"run-abc","duration_ms":332,"data":{"path":"agent","run_id":"run-abc"},"version":"1.2.3"}

Key fields:

  • node — filter on "sensing_input" for sensing events
  • kind"enter" = event received, "exit" = event processed (with duration_ms)
  • data.type — event type: presence.enter, presence.leave, motion, motion.activity, sound, light.level, voice, voice_command, emotion.detected, speech_emotion.detected
  • data.message — natural-language description; may contain [snapshot: /var/lib/hal/snapshots/sensing_<prefix>/<ms>.jpg]
  • data.path — in exit records: "agent" (forwarded), "local" (handled locally), or has "error" key (failed/dropped)
  • ts — Unix timestamp (seconds with fractional ms)
  • trace_id — correlates enter/exit and links to agent turn

Read the full file on GitHub · 246 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 8d ago First seen · 246 lines · 48 tokens per session scan A 69584638f6f8

Subscribe to this mod's changes

sensing-track is a skill published in the GitHub repository autonomous-ai/autonomous-os (279 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 3,402 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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