Habit

What it does

When your agent uses it

• Answering questions about a users routines (What are Leos habits?
• Has Leo been keeping to his routine?
• Notice anything about my patterns?)
• Invoked from wellbeing/SKILL.md

Example prompts

• “s routines (”
• “s habits?”
• “Has Leo been keeping to his routine?”
• “/habit”

What it can do on your machine

Read from SKILL.md and the folder at commit d5efe9d. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • curl

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Habit loads about 2k tokens when it runs. Until then it costs about 154 tokens; SKILL.md has 915 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~154

When it runs · the whole SKILL.md, loaded when a task matches

~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• WarningContains instruction-override wording (e.g. “without asking the user”)SKILL.md:90

  - Log silently — do NOT tell the user you're logging. Just respond naturally.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from autonomous-ai/Physical-AI-Operating-System at commit d5efe9d, republished under its Apache-2.0 licence (© autonomous-ai). 915 words, ~1,951 tokens.

name

habit

description

Tracks and analyzes behavioral patterns (habits) for known users based on their wellbeing, presence, posture, and activity history. Use when answering questions about a user's routines ("What are Leo's habits?", "Has Leo been keeping to his routine?", "Notice anything about my patterns?"), or when invoked from wellbeing/SKILL.md or posture/SKILL.md on a threshold nudge to refresh patterns and provide habit-aware phrasing. Also feeds music-suggestion/SKILL.md with `music_patterns` for personalized genre. Habit does NOT fire its own standalone nudge — it enriches wellbeing/posture threshold-nudge phrasing.

{"ts": 1776657145.05, "seq": 4, "hour": 10, "action": "drink", "notes": ""}

[HW:/wellbeing/log:{"action":"meal","notes":"user said: going to lunch","user":"<current_user>"}]

curl -s "http://127.0.0.1:5000/api/openclaw/wellbeing-history?user={name}&date=YYYY-MM-DD&last=100"

cat /root/local/users/{name}/wellbeing/YYYY-MM-DD.jsonl

curl -s "http://127.0.0.1:5000/api/openclaw/wellbeing-history?user={name}&last=50"

© autonomous-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files in skills/habit of autonomous-ai/Physical-AI-Operating-System.

• SKILL.md
• reference/build-patterns.md
• reference/match-helper.md
• reference/music.md
• reference/open-question.md
• skill.json

Open the folder on GitHubat commit d5efe9d