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SKILL verified MIT Self-run

Routine

skill-alexanderj-carter-agentsociety2-agent-skills-routine · by AlexanderJ-Carter

Maintain daily routines, habits, schedules, and repeated life patterns for a social human agent.

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Install

$ agentstack add skill-alexanderj-carter-agentsociety2-agent-skills-routine

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Routine

Purpose

Update the agent's ordinary daily structure: sleep, meals, work, commute, study, leisure, chores, and recurring social commitments.

Internal Logic (One Sentence)

Use time, location, role obligations, circadian state, physiology, past routine, and cue-reward evidence to update expected activity, schedule pressure, routine fit, and habits in state/routine.json and state/habits.json.

Research basis: references/research_basis.md.

Use When

Use this skill when the agent needs a plausible next activity, when a day begins, when time changes meaningfully, or when a repeated behavior should become a habit.

Procedure

  1. Read state/observation_ctx.json, state/observation.txt, state/routine.json, state/habits.json, state/circadian.json, state/physiology.json, and profile context if present.
  2. Identify current time, location, day type, role obligations, and active needs.
  3. Compare current behavior with the agent's usual routine.
  4. Update routine expectations for the current time block.
  5. Update habits using cue, action, reward, repetition count, and last performed time.
  6. Write routine state for cognition and plan.

Write

Write state/routine.json and state/habits.json.

Output Schema

{
  "current_time_block": "evening",
  "expected_activity": "dinner or leisure",
  "schedule_pressure": 0.35,
  "routine_fit": 0.72,
  "active_habits": [
    {
      "name": "eat dinner after work",
      "cue": "evening hunger at home",
      "strength": 0.68,
      "last_performed_tick": 110
    }
  ],
  "deviation": {
    "is_deviating": false,
    "reason": ""
  }
}

Notes

Routines should make behavior stable without making it mechanical. Strong habits should bias actions toward familiar choices, but urgent needs, social events, or environmental constraints can override them.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.