agentleFS
mayankjain1815-commitsmayankjain1815-commits/CITADEL/skills/daemon/SKILL.md

daemon

Skill4 starsChanged 4 months agoMITView on GitHub

Continuous autonomous operation mode. Keeps campaigns running 24/7 by chaining Claude Code sessions via RemoteTrigger. Each session picks up from the campaign's continuation state, works until context runs low or the phase completes, then schedules the next session. Auto-stops on campaign completion or budget exhaustion. The thing that makes Citadel run overnight.

2 other projects use a version of this, 1 of them edited.

Adopted by

Most recently taken up by

The file

Show its rules and text

We split this skill into the rules it gives an agent

37 rules. About 0 are common, 10 are distinctive, and 27 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈10

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 27

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Do Steps 1, 2, and 4 below (validate, check existing, write daemon.json).

    line 44
  2. Very specific:

    Instead of Step 5's trigger-confirmation, output the local-runner instructions (full text: docs/DAEMON.md#local-runner-default): the state …

    line 46
  3. Very specific:

    Only when the user has explicitly passed --remote:

    line 65
  4. Very specific:

    Before proceeding, confirm: "This will use Anthropic's RemoteTrigger, which counts against your 15 routine runs / 24h quota.

    line 66
  5. Distinctive:

    If the user confirms, run the full Step 1-5 protocol below (including Step 3's trigger creation).

    line 67
  6. Very specific:

    Check .planning/ exists. If not: "No planning directory found.

    line 92
  7. Distinctive:

    Verify the campaign has a Continuation State section (Archon knows where to resume)

    line 94
  8. Very specific:

    Read .planning/daemon.json if it exists.

    line 100
  9. Very specific:

    Read .planning/daemon.json.

    line 139
  10. Distinctive:

    Delete both triggers (ignore failures — may already be cleaned up).

    line 140
  11. Very specific:

    Update daemon.json: status: stopped, stoppedAt, stopReason: user.

    line 141
  12. Very specific:

    If paused-level-up: add instructions to review proposals at .planning/rubrics/{target}-proposals.md and set campaign status: active to …

    line 148
  13. Very specific:

    Read .planning/daemon.json and output the log array, most recent first, as [{timestamp}] Session #{N}: {status} -- {summary} with a second …

    line 152
  14. Very specific:

    Lock gate: If lastTickAt is within the last 2 minutes and lastTickStatus is "running" -- another session is active.

    line 162
  15. Very specific:

    Budget gate: If estimatedSpend >= budget -- stop the daemon: update daemon.json (status: "stopped", stopReason: "budget-exhausted"), delete …

    line 163
  16. Distinctive:

    Campaign gate: Read the campaign file.

    line 164
  17. Very specific:

    Update daemon.json: lastTickAt = current ISO timestamp, lastTickStatus: "running".

    line 170
  18. Very specific:

    After /do continue returns (or the session is winding down):

    line 178
  19. Distinctive:

    Read the campaign file again to get updated status and phase

    line 180
  20. Very specific:

    No-work gate: If the campaign status is completed, failed, parked, or the campaign file no longer exists -- stop the daemon immediately: …

    line 181
  21. Very specific:

    Update daemon.json: increment sessionCount, add costPerSession to estimatedSpend, set lastTickStatus: "completed", append a log entry with …

    line 182
  22. Very specific:

    Run a safe memory consolidation pass when the session produced planning changes: node scripts/memory-compile.js compile.

    line 183
  23. Very specific:

    If lastTickAt is more than 2 * interval ago AND lastTickStatus is not "running": the chain died.

    line 196
  24. Very specific:

    If lastTickAt is recent (within 2 * interval): the chain is healthy.

    line 197
  25. Very specific:

    Primary: Read latest entry from .planning/telemetry/session-costs.jsonl (written by session-end hook) for real cost.

    line 205
  26. Very specific:

    Stop when estimatedSpend >= budget or estimatedSpend + costPerSession > budget (preemptive).

    line 209
  27. Very specific:

    Campaign has no Continuation State: run /archon once interactively to establish it.

    line 215
  28. Very specific:

    daemon.json corrupted: treat as no daemon running.

    line 216
  29. Very specific:

    Budget exhausted: stop, log "Budget exhausted.

    line 220
  30. Distinctive:

    Always disclose, regardless of trust level:

    line 228
  31. Distinctive:

    Before starting, verify daemon is warranted:

    line 239
  32. Distinctive:

    If campaign has only 1 remaining phase: suggest running it directly instead

    line 240
  33. Distinctive:

    If estimated sessions <= 2: suggest manual continuation instead

    line 241
  34. Very specific:

    If campaign is type improve and no rubric exists: block -- rubric requires human approval first

    line 242
  35. Very specific:

    Read trust level from harness.json:

    line 245
  36. Very specific:

    Every tick must update daemon.json BEFORE scheduling the next tick

    line 255
  37. Distinctive:

    Stop must clean up ALL triggers (no orphaned triggers)

    line 259

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

/daemon -- Continuous Autonomous Operation

Architecture, daemon.json field reference, and rationale: docs/DAEMON.md.

Orientation

Use when: running campaigns overnight or unattended -- chains sessions automatically until a ceiling or budget is hit. Don't use when: a single autonomous session is enough (use /archon); you want manual control between cycles (use /loop).

Default execution path (READ FIRST)

/daemon start does NOT call RemoteTrigger by default. The local runner is the default. Only pass --remote to use Anthropic's routine system, and only after explicit user confirmation.

Why: RemoteTrigger counts against the account-wide 15 routine runs / 24h cap. A single overnight run can exhaust the quota and pause every other routine on the account (including unrelated ones). See docs/ROUTINE-QUOTA.md.

Default flow — /daemon start (no --remote flag)

  1. Do Steps 1, 2, and 4 below (validate, check existing, write daemon.json).
  2. Skip Step 3 — do NOT create any RemoteTrigger. Leave chainTriggerId and watchdogTriggerId as null in the state file.
  3. Instead of Step 5's trigger-confirmation, output the local-runner instructions (full text: docs/DAEMON.md#local-runner-default): the state file path, campaign, and budget, then:
    To start the tick loop, run in a separate terminal:
      npm run daemon:local
    
    Leave that terminal open. It spawns `claude -p "/do continue"` each
    session, respects daemon.json status, and consumes zero Anthropic
    routine quota. Stop with Ctrl+C or `/daemon stop`.
    
    For true unattended background operation (machine sleeps, user away):
      /daemon start --remote    (uses RemoteTrigger, counts against 15/day cap)

Codex automation lane

In Codex, prefer a Codex Automation for durable unattended daemon ticks when available: node scripts/codex-automation.js plan --type daemon --command "/daemon tick" --cadence "<interval>" --target background-worktree --write. Use the returned prompt in the Codex app automation surface. Each run must still read and update .planning/daemon.json; Codex owns the scheduling, Citadel owns the budget/status gates and run log.

Opt-in routine flow — /daemon start --remote

Only when the user has explicitly passed --remote:

  1. Before proceeding, confirm: "This will use Anthropic's RemoteTrigger, which counts against your 15 routine runs / 24h quota. A single overnight daemon can exhaust it. Continue? (y/N)"
  2. If the user confirms, run the full Step 1-5 protocol below (including Step 3's trigger creation).

Commands

CommandBehavior
/daemon startDefault: create state file, prompt user to run npm run daemon:local (zero routine cost)
/daemon start --remoteUse RemoteTrigger instead (counts against 15/day routine quota — requires confirmation)
/daemon start --campaign {slug}Target a specific campaign
/daemon start --budget {N}Set budget cap in dollars (default: $50)
/daemon start --budget unlimitedExplicitly disable budget cap
/daemon start --interval {N}mSet watchdog interval (default: 30m)
/daemon start --cooldown {N}sSet delay between sessions (default: 60s)
/daemon start --cost-per-session {N}Override per-session cost estimate (default: $3)
/daemon stopStop the daemon, tear down triggers
/daemon statusShow daemon state, session count, budget remaining
/daemon logShow recent daemon session history
/daemon tickInternal: heartbeat handler fired by triggers. Not user-facing.

Protocol

/daemon start

Step 1: Validate prerequisites

  1. Check .planning/ exists. If not: "No planning directory found. Run /do setup first."
  2. Find the target campaign: if --campaign {slug} provided, read .planning/campaigns/{slug}.md; otherwise scan .planning/campaigns/ (excluding completed/) for files with status: active in frontmatter. No active campaign → "No active campaign. Start one with /archon first." Multiple active and no flag → list them, ask user to specify.
  3. Verify the campaign has a Continuation State section (Archon knows where to resume)
  4. Parse budget: default $50. --budget unlimited → set budget to Infinity, warn: "No budget cap. You will not be protected from runaway costs. Monitor usage at your Anthropic dashboard." --budget {N} → parse as number, must be > 0.
  5. Parse cost-per-session: --cost-per-session {N} if provided; else the campaign's estimated_cost_per_loop frontmatter field if present (improve campaigns set this to 12); otherwise default $3. The auto-read prevents running an improve campaign on the $3 default designed for simple archon sessions (rationale: docs/DAEMON.md#cost-estimation).

Step 2: Check for existing daemon

Read .planning/daemon.json if it exists. If a daemon is already running (status: "running"): show its state (campaign, sessions completed, budget remaining) and ask "A daemon is already running. Stop it and start a new one?" Yes → run /daemon stop first, then continue. No → abort.

Step 3: Create triggers (remote flow only)

A. Chain trigger — one-shot, fires after cooldown, command: "/daemon tick". Save ID as chainTriggerId. B. Watchdog trigger — recurring, fires every --interval, command: "/daemon tick --watchdog". Save ID as watchdogTriggerId. Both use type: scheduled/recurring, project_path: {absolute project root}, description: "Daemon: {slug} tick/watchdog".

Step 4: Write state file

Write .planning/daemon.json:

{
  "status": "running",
  "campaignSlug": "{slug}",
  "budget": 50,
  "costPerSession": 3,
  "estimatedSpend": 0,
  "sessionCount": 0,
  "interval": "30m",
  "cooldown": "60s",
  "chainTriggerId": "{id from step 3A}",
  "watchdogTriggerId": "{id from step 3B}",
  "startedAt": "{ISO timestamp}",
  "lastTickAt": null,
  "lastTickStatus": null,
  "stoppedAt": null,
  "stopReason": null,
  "log": []
}

Step 5: Log and confirm

Log daemon-start event with budget and interval. Output confirmation: campaign slug, budget (estimated sessions), cooldown, watchdog interval, state file path. Suggest /daemon status and /daemon stop.

/daemon stop

  1. Read .planning/daemon.json. If missing or not running: "No daemon is running."
  2. Delete both triggers (ignore failures — may already be cleaned up).
  3. Update daemon.json: status: stopped, stoppedAt, stopReason: user.
  4. Log daemon-stop event. Output: sessions completed, estimated spend, campaign status.

/daemon status

Output: status, campaign (slug + phase), sessions, budget (spent/cap/remaining), cost/session source, last tick (time + status), running duration, watchdog interval, state file path.

If paused-level-up: add instructions to review proposals at .planning/rubrics/{target}-proposals.md and set campaign status: active to resume. For improve campaigns: add loops completed/total, current level, last axis attacked.

/daemon log

Read .planning/daemon.json and output the log array, most recent first, as [{timestamp}] Session #{N}: {status} -- {summary} with a second line Phase: {phase} | Duration: {duration} | Est. cost: ${cost} (entry format: docs/DAEMON.md#daemonjson-reference). Show the last 20 entries. If more exist: "Showing last 20 of {total}. Full log in .planning/daemon.json"

/daemon tick

This is the heartbeat handler. It runs in a fresh Claude Code session spawned by the scheduler. It is not user-facing.

Step 1: Gate checks

  1. Read .planning/daemon.json
  2. Status gate: If status is not "running" and not "paused-level-up" -- exit silently. The daemon was stopped. If "paused-level-up": read the campaign file. If campaign status is now active (human approved the level-up): update daemon.json status: "running", clear pauseReason, log daemon-resume with reason level-up-approved, continue to Step 2. If still level-up-pending: exit silently (still waiting for human).
  3. Lock gate: If lastTickAt is within the last 2 minutes and lastTickStatus is "running" -- another session is active. Exit silently.
  4. Budget gate: If estimatedSpend >= budget -- stop the daemon: update daemon.json (status: "stopped", stopReason: "budget-exhausted"), delete both triggers, log daemon-stop with reason budget-exhausted, exit.
  5. Campaign gate: Read the campaign file.
    • File does not exist, or status: completed, failed, or parked -- stop the daemon: update daemon.json (status: "stopped", stopReason: "no-active-work" for a missing file, "campaign-completed" / "campaign-failed" / "campaign-parked" for the matching status), delete both triggers, log daemon-stop with that reason, exit.
    • status: level-up-pending -- pause the daemon (do not stop): update daemon.json status: "paused-level-up", pauseReason: "Improve hit distribution saturation. Human approval required for level-up proposals." Do NOT delete triggers (the watchdog stays alive to detect when the human resumes). Log daemon-pause with reason level-up-pending. Append to daemon.json log: "Paused: level-up triggered. Approve proposals at .planning/rubrics/{target}-proposals.md and set campaign status to active to resume." Exit.

Step 2: Acquire lock

Update daemon.json: lastTickAt = current ISO timestamp, lastTickStatus: "running".

Step 3: Execute

Run /do continue -- routes to Archon, which reads the campaign's Continuation State and picks up where the last session left off. Archon works until the current phase completes (normal exit), context runs low and PreCompact fires (saves state, session can end), or an error parks the campaign.

Step 4: Record session

After /do continue returns (or the session is winding down):

  1. Read the campaign file again to get updated status and phase
  2. No-work gate: If the campaign status is completed, failed, parked, or the campaign file no longer exists -- stop the daemon immediately: update daemon.json (status: "stopped", stopReason: "no-active-work", stoppedAt: "{ISO timestamp}"), delete both triggers, log daemon-stop with reason no-active-work. Do NOT schedule the next tick. Exit after recording the session.
  3. Update daemon.json: increment sessionCount, add costPerSession to estimatedSpend, set lastTickStatus: "completed", append a log entry with session, timestamp, status, phase, summary, and estimatedCost (JSON shape: docs/DAEMON.md#daemonjson-reference).
  4. Run a safe memory consolidation pass when the session produced planning changes: node scripts/memory-compile.js compile. If it fails, record the failure in daemon.json log and continue shutdown or scheduling; memory compile failures must not create overlapping daemon ticks.

Step 5: Schedule next tick

Re-read daemon.json. If still running and estimatedSpend + costPerSession <= budget: create new chain trigger (one-shot, cooldown delay), update chainTriggerId. If budget would be exceeded: stop daemon (budget-exhausted), delete watchdog, log daemon-stop.

Step 6: Exit

Session ends cleanly. PreCompact hook saves campaign state. The next tick starts a fresh session with full context budget.

/daemon tick --watchdog

Same as /daemon tick but after the standard gate checks pass, check whether the chain is alive: read lastTickAt from daemon.json.

  • If lastTickAt is more than 2 * interval ago AND lastTickStatus is not "running": the chain died. Log: "Watchdog: chain appears dead. Last tick at {lastTickAt}. Restarting chain." Proceed with Step 2 onwards (this watchdog tick becomes a chain tick) and schedule the next chain tick in Step 5.
  • If lastTickAt is recent (within 2 * interval): the chain is healthy. Exit silently.

SessionStart Hook Bridge (Primary Bootstrap)

The daemon's primary continuation mechanism is the init-project.js SessionStart hook, not RemoteTrigger prompt injection. On every session start the hook reads .planning/daemon.json; if status: running, it checks the lock (no overlap), budget (can afford), and campaign (still active), and when all gates pass outputs [daemon] Active daemon detected. Campaign: {slug}. Run: /do continue — the agent sees this first and executes /do continue. RemoteTrigger's role is reduced to scheduling session starts; if it is unavailable, an OS cron job or manual restart achieves the same result (architecture: docs/DAEMON.md#how-it-works).

Budget Tracking

Primary: Read latest entry from .planning/telemetry/session-costs.jsonl (written by session-end hook) for real cost. Use override_cost if present, else estimated_cost.

Fallback: costPerSession flat estimate (default $3). Each tick adds it to estimatedSpend.

Stop when estimatedSpend >= budget or estimatedSpend + costPerSession > budget (preemptive). Overrides: --budget {N} | --budget unlimited (explicit, warns) | --cost-per-session {N}

Fringe Cases

  • RemoteTrigger unavailable: SessionStart hook bridge still works. Suggest OS cron: */30 * * * * cd ~/project && claude -p '/do continue'
  • No .planning/: "Run /do setup first."
  • Campaign has no Continuation State: run /archon once interactively to establish it.
  • daemon.json corrupted: treat as no daemon running; /daemon start fresh.
  • Session crashes without next tick: watchdog restarts chain after 2 * interval.
  • Multiple daemons: one per project. Block with "daemon already running" prompt.
  • /daemon tick called manually: works, gate checks apply. Warn it's internal.
  • Budget exhausted: stop, log "Budget exhausted. Restart with --budget {higher}."
  • Level-up during run: detect level-up-pending, set paused-level-up, keep watchdog alive for human-resume detection.
  • Campaign completes mid-session: no-work gate (Step 4) catches it, stops daemon.
  • Idle loop bug (campaign done but daemon still running): three layers prevent it — campaign gate (Step 1), no-work gate (Step 4), /do Tier 1 stop. All write stopReason: no-active-work.

Contextual Gates

Disclosure

Always disclose, regardless of trust level:

  • "Starting continuous mode on campaign {slug}. Budget: ${N} (~{sessions} sessions at ${cost}/session). Sessions restart automatically until done or budget exhausted."
  • For unlimited budget: "WARNING: No budget cap. Sessions will continue until the campaign completes or you run /daemon stop."

Reversibility

  • Amber: Standard daemon with budget cap -- stop with /daemon stop, no work is lost
  • Red: Daemon with --budget unlimited -- no automatic cost protection

Red actions (unlimited budget) require explicit confirmation at ALL trust levels.

Proportionality

Before starting, verify daemon is warranted:

  • If campaign has only 1 remaining phase: suggest running it directly instead
  • If estimated sessions <= 2: suggest manual continuation instead
  • If campaign is type improve and no rubric exists: block -- rubric requires human approval first

Trust Gating

Read trust level from harness.json:

  • Novice (0-4 sessions): Block daemon activation entirely. Output: "Daemon mode requires familiarity with the harness. Complete a few sessions first, then daemon will be available."
  • Familiar (5-19 sessions): Allow with full disclosure and explicit confirmation.
  • Trusted (20+ sessions): Allow with cost-only confirmation.

Quality Gates

  • Budget cap MUST be set (default $50, explicit unlimited to bypass)
  • Daemon state file MUST be written before any triggers are created
  • Both triggers (chain + watchdog) must be created; if either fails, abort and clean up
  • Every tick must update daemon.json BEFORE scheduling the next tick
  • Campaign must have Continuation State before daemon can start
  • Lock mechanism must prevent overlapping sessions
  • Watchdog must detect and recover from dead chains
  • Stop must clean up ALL triggers (no orphaned triggers)

Exit Protocol

  • start: confirmation output, no HANDOFF
  • stop: stop summary, no HANDOFF
  • tick: no user output (headless); updates daemon.json, schedules or stops
  • status/log: output requested info
  • On error: actionable message, clean up any dangling triggers before exiting

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.