Creator · davidondrej
Last updated · Sep 2, 2026
Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler.
Creator · davidondrej
Last updated · Sep 2, 2026
Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler.
Creator · davidondrej
Last updated · Sep 2, 2026
Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler.
Creator · davidondrej
Last updated · Sep 2, 2026
Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler.
Sandbox only
Install targets
Codex install prompt
Install the "agent-self-scheduling" agent skill from https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/agent-self-scheduling. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"davidondrej-agent-self-scheduling","task":"Install agent-self-scheduling","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add davidondrej/skills --skill agent-self-scheduling
Maintenance
fresh
2d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
3.8K
83/100 Quality · 79/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.8K GitHub stars
Repo activity
3.8K stars, 556 forks
Maintenance
2d since push
License
MIT
Install
npx skills add davidondrej/skills --skill agent-self-scheduling
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add davidondrej/skills --skill agent-self-schedulingDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/davidondrej-agent-self-scheduling/install
Agent should check
Copy prompt
Task: Use agent-self-scheduling in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/davidondrej-agent-self-scheduling/install
Install command: npx skills add davidondrej/skills --skill agent-self-scheduling
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/davidondrej-agent-self-scheduling/install
LLM text format
/api/skills/davidondrej-agent-self-scheduling/install?format=text
Find alternatives
/api/skills/search?q=agent-self-scheduling&limit=3
Agent prompt
Use agent-self-scheduling for this task. Review https://www.openagentskill.com/api/skills/davidondrej-agent-self-scheduling/install, then install with: npx skills add davidondrej/skills --skill agent-self-schedulingRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/davidondrej-agent-self-scheduling
LLM text
/api/registry/manifest/davidondrej-agent-self-scheduling?format=text
Install alias
/api/registry/install/davidondrej-agent-self-scheduling
Recommend
/api/registry/recommend?task=Use%20agent-self-scheduling%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.8K GitHub stars
Stars/forks activity
PASS3.8K stars, 556 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: agent-self-scheduling description: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler. ---
# Agent Self-Scheduling
First question: does the agent have a built-in scheduler (Hermes → Camp B), or do you own the clock (everything else → Camp A)?
Universal floor: cron is 1 minute minimum (5-field expr, no seconds) — every camp. For sub-minute you MUST use a `while ...; sleep N; done` loop, a TS extension, or an event hook. Never put an LLM on a tight timer.
## Camp A — one-shot agents, you own the clock
These run once and exit (amnesiac unless resumed). Schedule them externally.
```bash claude -p "PROMPT" --output-format json --allowedTools "Read,Edit,Bash" # Claude Code codex exec --json "PROMPT" # Codex pi run "PROMPT" # Pi ```
Wrap in a clock:
```bash # 1. cron (>= 1 min floor) */10 * * * * cd /path/to/project && pi run "check X and report" >> ~/agent.log 2>&1 # 2. systemd timer (Linux, survives reboot, better logging) — OnUnitActiveSec=10min # 3. dumb loop (sub-minute, or no cron available) while true; do pi run "check X"; sleep 30; done ```
Gotchas (each breaks unattended runs if ignored): - **Permissions hang forever.** Pass `--allowedTools` (Claude) or sandbox/auto-approve flags (Codex), or the run blocks on a prompt. - **Use JSON output** (`--output-format json` / `--json`) so the wrapper parses results deterministically. - **Runs are amnesiac.** Resume (`codex exec resume --last`) or persist state to a file the next run reads.
Pi has NO built-in scheduler/loop/heartbeat by design — external clock only (or a TS extension for agent-side timers).
### cmux — orchestration only, NO scheduler
cmux has no timer/watch/cron. Three ways to loop it: orchestrator-driven (`send` → `sleep` → `read-screen` on your own clock), a dumb while-sleep wrapper, or — preferred — event-driven via `cmux notify` + OSC terminal hooks, which is cheaper and more responsive than polling. `read-screen` is non-interruptive, safe to poll.
If a loop checks another agent, send David a one-line status each check: what the agent is doing, on track or not. (Claude Code may prefill a predicted next user message after finishing — that's Claude, not David.)
## Camp B — Hermes built-in scheduler
Hermes' gateway ticks every 60s and runs due jobs in fresh isolated sessions. State-check first:
```bash hermes gateway install # user-level ( --system to survive reboot) hermes cron create "every 1h" "summarize new emails and report" --skill himalaya hermes cron create "0 9 * * *" "post daily standup" # cron expr hermes cron create "30m" "one-shot reminder in 30 min" # one-shot delay ```
Hermes-unique: **zero-token mode** (run a script, deliver stdout verbatim — use for watchdogs), **chaining** (`context_from` pipes one job's output into the next), **self-terminating loops**, and **loop safety** (scheduled sessions cannot create more cron jobs — don't schedule from inside a scheduled job). Each run is a fresh session: the prompt must carry all context.
## Heartbeat pattern
One fast recurring tick gates many slower per-task checks: the tick reads a task list + per-task `last_run` timestamps and only acts on tasks that are due. In Hermes use a recurring job (zero-token mode when nothing's due); in Camp A use a while-sleep loop. Define active-hours, and stay silent when nothing is due — no empty noise.
A watchdog tick is just a command whose stdout is delivered verbatim — keep it to one cheap, unauthenticated call:
```bash curl -s --max-time 10 https://deepapi.co/v1/health # alert only on non-ok ```
## Verify it fires (before reporting success)
1. Camp A: log file grows after one interval, or run the wrapped command once by hand → clean JSON, exit 0. 2. Camp B: `hermes cron list` shows the job + sane `next_run`; trigger a run-now to confirm delivery. 3. Confirm permission/sandbox flags are present — the #1 silent failure is a hung permission prompt. 4. Heartbeats: confirm a nothing-due tick stays silent.
Source provenance
Decision snapshot
3,848 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for agent-self-scheduling, ready for a manual X post.
agent-self-scheduling: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomou... 3.8K stars https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=x
Listing + install path for agent-self-scheduling: https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=x Install: npx skills add davidondrej/skills --skill agent-self-scheduling
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to davidondrej but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling/audit)
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)davidondrej
@davidondrej
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "agent-self-scheduling" agent skill from https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/agent-self-scheduling. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"davidondrej-agent-self-scheduling","task":"Install agent-self-scheduling","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add davidondrej/skills --skill agent-self-scheduling
Maintenance
fresh
2d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
3.8K
83/100 Quality · 79/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.8K GitHub stars
Repo activity
3.8K stars, 556 forks
Maintenance
2d since push
License
MIT
Install
npx skills add davidondrej/skills --skill agent-self-scheduling
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add davidondrej/skills --skill agent-self-schedulingDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/davidondrej-agent-self-scheduling/install
Agent should check
Copy prompt
Task: Use agent-self-scheduling in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/davidondrej-agent-self-scheduling/install
Install command: npx skills add davidondrej/skills --skill agent-self-scheduling
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/davidondrej-agent-self-scheduling/install
LLM text format
/api/skills/davidondrej-agent-self-scheduling/install?format=text
Find alternatives
/api/skills/search?q=agent-self-scheduling&limit=3
Agent prompt
Use agent-self-scheduling for this task. Review https://www.openagentskill.com/api/skills/davidondrej-agent-self-scheduling/install, then install with: npx skills add davidondrej/skills --skill agent-self-schedulingRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/davidondrej-agent-self-scheduling
LLM text
/api/registry/manifest/davidondrej-agent-self-scheduling?format=text
Install alias
/api/registry/install/davidondrej-agent-self-scheduling
Recommend
/api/registry/recommend?task=Use%20agent-self-scheduling%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.8K GitHub stars
Stars/forks activity
PASS3.8K stars, 556 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: agent-self-scheduling description: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler. ---
# Agent Self-Scheduling
First question: does the agent have a built-in scheduler (Hermes → Camp B), or do you own the clock (everything else → Camp A)?
Universal floor: cron is 1 minute minimum (5-field expr, no seconds) — every camp. For sub-minute you MUST use a `while ...; sleep N; done` loop, a TS extension, or an event hook. Never put an LLM on a tight timer.
## Camp A — one-shot agents, you own the clock
These run once and exit (amnesiac unless resumed). Schedule them externally.
```bash claude -p "PROMPT" --output-format json --allowedTools "Read,Edit,Bash" # Claude Code codex exec --json "PROMPT" # Codex pi run "PROMPT" # Pi ```
Wrap in a clock:
```bash # 1. cron (>= 1 min floor) */10 * * * * cd /path/to/project && pi run "check X and report" >> ~/agent.log 2>&1 # 2. systemd timer (Linux, survives reboot, better logging) — OnUnitActiveSec=10min # 3. dumb loop (sub-minute, or no cron available) while true; do pi run "check X"; sleep 30; done ```
Gotchas (each breaks unattended runs if ignored): - **Permissions hang forever.** Pass `--allowedTools` (Claude) or sandbox/auto-approve flags (Codex), or the run blocks on a prompt. - **Use JSON output** (`--output-format json` / `--json`) so the wrapper parses results deterministically. - **Runs are amnesiac.** Resume (`codex exec resume --last`) or persist state to a file the next run reads.
Pi has NO built-in scheduler/loop/heartbeat by design — external clock only (or a TS extension for agent-side timers).
### cmux — orchestration only, NO scheduler
cmux has no timer/watch/cron. Three ways to loop it: orchestrator-driven (`send` → `sleep` → `read-screen` on your own clock), a dumb while-sleep wrapper, or — preferred — event-driven via `cmux notify` + OSC terminal hooks, which is cheaper and more responsive than polling. `read-screen` is non-interruptive, safe to poll.
If a loop checks another agent, send David a one-line status each check: what the agent is doing, on track or not. (Claude Code may prefill a predicted next user message after finishing — that's Claude, not David.)
## Camp B — Hermes built-in scheduler
Hermes' gateway ticks every 60s and runs due jobs in fresh isolated sessions. State-check first:
```bash hermes gateway install # user-level ( --system to survive reboot) hermes cron create "every 1h" "summarize new emails and report" --skill himalaya hermes cron create "0 9 * * *" "post daily standup" # cron expr hermes cron create "30m" "one-shot reminder in 30 min" # one-shot delay ```
Hermes-unique: **zero-token mode** (run a script, deliver stdout verbatim — use for watchdogs), **chaining** (`context_from` pipes one job's output into the next), **self-terminating loops**, and **loop safety** (scheduled sessions cannot create more cron jobs — don't schedule from inside a scheduled job). Each run is a fresh session: the prompt must carry all context.
## Heartbeat pattern
One fast recurring tick gates many slower per-task checks: the tick reads a task list + per-task `last_run` timestamps and only acts on tasks that are due. In Hermes use a recurring job (zero-token mode when nothing's due); in Camp A use a while-sleep loop. Define active-hours, and stay silent when nothing is due — no empty noise.
A watchdog tick is just a command whose stdout is delivered verbatim — keep it to one cheap, unauthenticated call:
```bash curl -s --max-time 10 https://deepapi.co/v1/health # alert only on non-ok ```
## Verify it fires (before reporting success)
1. Camp A: log file grows after one interval, or run the wrapped command once by hand → clean JSON, exit 0. 2. Camp B: `hermes cron list` shows the job + sane `next_run`; trigger a run-now to confirm delivery. 3. Confirm permission/sandbox flags are present — the #1 silent failure is a hung permission prompt. 4. Heartbeats: confirm a nothing-due tick stays silent.
Source provenance
Decision snapshot
3,848 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for agent-self-scheduling, ready for a manual X post.
agent-self-scheduling: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomou... 3.8K stars https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=x
Listing + install path for agent-self-scheduling: https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=x Install: npx skills add davidondrej/skills --skill agent-self-scheduling
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to davidondrej but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling/audit)
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)davidondrej
@davidondrej
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "agent-self-scheduling" agent skill from https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/agent-self-scheduling. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"davidondrej-agent-self-scheduling","task":"Install agent-self-scheduling","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add davidondrej/skills --skill agent-self-scheduling
Maintenance
fresh
2d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
3.8K
83/100 Quality · 79/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.8K GitHub stars
Repo activity
3.8K stars, 556 forks
Maintenance
2d since push
License
MIT
Install
npx skills add davidondrej/skills --skill agent-self-scheduling
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add davidondrej/skills --skill agent-self-schedulingDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/davidondrej-agent-self-scheduling/install
Agent should check
Copy prompt
Task: Use agent-self-scheduling in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/davidondrej-agent-self-scheduling/install
Install command: npx skills add davidondrej/skills --skill agent-self-scheduling
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/davidondrej-agent-self-scheduling/install
LLM text format
/api/skills/davidondrej-agent-self-scheduling/install?format=text
Find alternatives
/api/skills/search?q=agent-self-scheduling&limit=3
Agent prompt
Use agent-self-scheduling for this task. Review https://www.openagentskill.com/api/skills/davidondrej-agent-self-scheduling/install, then install with: npx skills add davidondrej/skills --skill agent-self-schedulingRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/davidondrej-agent-self-scheduling
LLM text
/api/registry/manifest/davidondrej-agent-self-scheduling?format=text
Install alias
/api/registry/install/davidondrej-agent-self-scheduling
Recommend
/api/registry/recommend?task=Use%20agent-self-scheduling%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.8K GitHub stars
Stars/forks activity
PASS3.8K stars, 556 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: agent-self-scheduling description: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler. ---
# Agent Self-Scheduling
First question: does the agent have a built-in scheduler (Hermes → Camp B), or do you own the clock (everything else → Camp A)?
Universal floor: cron is 1 minute minimum (5-field expr, no seconds) — every camp. For sub-minute you MUST use a `while ...; sleep N; done` loop, a TS extension, or an event hook. Never put an LLM on a tight timer.
## Camp A — one-shot agents, you own the clock
These run once and exit (amnesiac unless resumed). Schedule them externally.
```bash claude -p "PROMPT" --output-format json --allowedTools "Read,Edit,Bash" # Claude Code codex exec --json "PROMPT" # Codex pi run "PROMPT" # Pi ```
Wrap in a clock:
```bash # 1. cron (>= 1 min floor) */10 * * * * cd /path/to/project && pi run "check X and report" >> ~/agent.log 2>&1 # 2. systemd timer (Linux, survives reboot, better logging) — OnUnitActiveSec=10min # 3. dumb loop (sub-minute, or no cron available) while true; do pi run "check X"; sleep 30; done ```
Gotchas (each breaks unattended runs if ignored): - **Permissions hang forever.** Pass `--allowedTools` (Claude) or sandbox/auto-approve flags (Codex), or the run blocks on a prompt. - **Use JSON output** (`--output-format json` / `--json`) so the wrapper parses results deterministically. - **Runs are amnesiac.** Resume (`codex exec resume --last`) or persist state to a file the next run reads.
Pi has NO built-in scheduler/loop/heartbeat by design — external clock only (or a TS extension for agent-side timers).
### cmux — orchestration only, NO scheduler
cmux has no timer/watch/cron. Three ways to loop it: orchestrator-driven (`send` → `sleep` → `read-screen` on your own clock), a dumb while-sleep wrapper, or — preferred — event-driven via `cmux notify` + OSC terminal hooks, which is cheaper and more responsive than polling. `read-screen` is non-interruptive, safe to poll.
If a loop checks another agent, send David a one-line status each check: what the agent is doing, on track or not. (Claude Code may prefill a predicted next user message after finishing — that's Claude, not David.)
## Camp B — Hermes built-in scheduler
Hermes' gateway ticks every 60s and runs due jobs in fresh isolated sessions. State-check first:
```bash hermes gateway install # user-level ( --system to survive reboot) hermes cron create "every 1h" "summarize new emails and report" --skill himalaya hermes cron create "0 9 * * *" "post daily standup" # cron expr hermes cron create "30m" "one-shot reminder in 30 min" # one-shot delay ```
Hermes-unique: **zero-token mode** (run a script, deliver stdout verbatim — use for watchdogs), **chaining** (`context_from` pipes one job's output into the next), **self-terminating loops**, and **loop safety** (scheduled sessions cannot create more cron jobs — don't schedule from inside a scheduled job). Each run is a fresh session: the prompt must carry all context.
## Heartbeat pattern
One fast recurring tick gates many slower per-task checks: the tick reads a task list + per-task `last_run` timestamps and only acts on tasks that are due. In Hermes use a recurring job (zero-token mode when nothing's due); in Camp A use a while-sleep loop. Define active-hours, and stay silent when nothing is due — no empty noise.
A watchdog tick is just a command whose stdout is delivered verbatim — keep it to one cheap, unauthenticated call:
```bash curl -s --max-time 10 https://deepapi.co/v1/health # alert only on non-ok ```
## Verify it fires (before reporting success)
1. Camp A: log file grows after one interval, or run the wrapped command once by hand → clean JSON, exit 0. 2. Camp B: `hermes cron list` shows the job + sane `next_run`; trigger a run-now to confirm delivery. 3. Confirm permission/sandbox flags are present — the #1 silent failure is a hung permission prompt. 4. Heartbeats: confirm a nothing-due tick stays silent.
Source provenance
Decision snapshot
3,848 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for agent-self-scheduling, ready for a manual X post.
agent-self-scheduling: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomou... 3.8K stars https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=x
Listing + install path for agent-self-scheduling: https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=x Install: npx skills add davidondrej/skills --skill agent-self-scheduling
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to davidondrej but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling/audit)
[](https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)davidondrej
@davidondrej
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "agent-self-scheduling" agent skill from https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/agent-self-scheduling. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"davidondrej-agent-self-scheduling","task":"Install agent-self-scheduling","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add davidondrej/skills --skill agent-self-scheduling
Maintenance
fresh
2d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
3.8K
83/100 Quality · 79/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.8K GitHub stars
Repo activity
3.8K stars, 556 forks
Maintenance
2d since push
License
MIT
Install
npx skills add davidondrej/skills --skill agent-self-scheduling
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add davidondrej/skills --skill agent-self-schedulingDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/davidondrej-agent-self-scheduling/install
Agent should check
Copy prompt
Task: Use agent-self-scheduling in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-self-scheduling%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/davidondrej-agent-self-scheduling/install
Install command: npx skills add davidondrej/skills --skill agent-self-scheduling
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/davidondrej-agent-self-scheduling/install
LLM text format
/api/skills/davidondrej-agent-self-scheduling/install?format=text
Find alternatives
/api/skills/search?q=agent-self-scheduling&limit=3
Agent prompt
Use agent-self-scheduling for this task. Review https://www.openagentskill.com/api/skills/davidondrej-agent-self-scheduling/install, then install with: npx skills add davidondrej/skills --skill agent-self-schedulingRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/davidondrej-agent-self-scheduling
LLM text
/api/registry/manifest/davidondrej-agent-self-scheduling?format=text
Install alias
/api/registry/install/davidondrej-agent-self-scheduling
Recommend
/api/registry/recommend?task=Use%20agent-self-scheduling%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.8K GitHub stars
Stars/forks activity
PASS3.8K stars, 556 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: agent-self-scheduling description: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomous checks. Use for "run every N minutes", "schedule a task", "run on a loop", "heartbeat". Covers external clocks (Claude Code, Codex, Pi) vs Hermes' built-in scheduler. ---
# Agent Self-Scheduling
First question: does the agent have a built-in scheduler (Hermes → Camp B), or do you own the clock (everything else → Camp A)?
Universal floor: cron is 1 minute minimum (5-field expr, no seconds) — every camp. For sub-minute you MUST use a `while ...; sleep N; done` loop, a TS extension, or an event hook. Never put an LLM on a tight timer.
## Camp A — one-shot agents, you own the clock
These run once and exit (amnesiac unless resumed). Schedule them externally.
```bash claude -p "PROMPT" --output-format json --allowedTools "Read,Edit,Bash" # Claude Code codex exec --json "PROMPT" # Codex pi run "PROMPT" # Pi ```
Wrap in a clock:
```bash # 1. cron (>= 1 min floor) */10 * * * * cd /path/to/project && pi run "check X and report" >> ~/agent.log 2>&1 # 2. systemd timer (Linux, survives reboot, better logging) — OnUnitActiveSec=10min # 3. dumb loop (sub-minute, or no cron available) while true; do pi run "check X"; sleep 30; done ```
Gotchas (each breaks unattended runs if ignored): - **Permissions hang forever.** Pass `--allowedTools` (Claude) or sandbox/auto-approve flags (Codex), or the run blocks on a prompt. - **Use JSON output** (`--output-format json` / `--json`) so the wrapper parses results deterministically. - **Runs are amnesiac.** Resume (`codex exec resume --last`) or persist state to a file the next run reads.
Pi has NO built-in scheduler/loop/heartbeat by design — external clock only (or a TS extension for agent-side timers).
### cmux — orchestration only, NO scheduler
cmux has no timer/watch/cron. Three ways to loop it: orchestrator-driven (`send` → `sleep` → `read-screen` on your own clock), a dumb while-sleep wrapper, or — preferred — event-driven via `cmux notify` + OSC terminal hooks, which is cheaper and more responsive than polling. `read-screen` is non-interruptive, safe to poll.
If a loop checks another agent, send David a one-line status each check: what the agent is doing, on track or not. (Claude Code may prefill a predicted next user message after finishing — that's Claude, not David.)
## Camp B — Hermes built-in scheduler
Hermes' gateway ticks every 60s and runs due jobs in fresh isolated sessions. State-check first:
```bash hermes gateway install # user-level ( --system to survive reboot) hermes cron create "every 1h" "summarize new emails and report" --skill himalaya hermes cron create "0 9 * * *" "post daily standup" # cron expr hermes cron create "30m" "one-shot reminder in 30 min" # one-shot delay ```
Hermes-unique: **zero-token mode** (run a script, deliver stdout verbatim — use for watchdogs), **chaining** (`context_from` pipes one job's output into the next), **self-terminating loops**, and **loop safety** (scheduled sessions cannot create more cron jobs — don't schedule from inside a scheduled job). Each run is a fresh session: the prompt must carry all context.
## Heartbeat pattern
One fast recurring tick gates many slower per-task checks: the tick reads a task list + per-task `last_run` timestamps and only acts on tasks that are due. In Hermes use a recurring job (zero-token mode when nothing's due); in Camp A use a while-sleep loop. Define active-hours, and stay silent when nothing is due — no empty noise.
A watchdog tick is just a command whose stdout is delivered verbatim — keep it to one cheap, unauthenticated call:
```bash curl -s --max-time 10 https://deepapi.co/v1/health # alert only on non-ok ```
## Verify it fires (before reporting success)
1. Camp A: log file grows after one interval, or run the wrapped command once by hand → clean JSON, exit 0. 2. Camp B: `hermes cron list` shows the job + sane `next_run`; trigger a run-now to confirm delivery. 3. Confirm permission/sandbox flags are present — the #1 silent failure is a hung permission prompt. 4. Heartbeats: confirm a nothing-due tick stays silent.
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Outcome reports after resolve, review, install, and one narrow run.
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Scenario-led draft for agent-self-scheduling, ready for a manual X post.
agent-self-scheduling: Make an AI agent run on a schedule, loop, or interval — cron, heartbeats, recurring autonomou... 3.8K stars https://www.openagentskill.com/skills/davidondrej-agent-self-scheduling?ref=x
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174.2K StarsPermission surface
secrets or environment access, shell or command execution
Agent outcomes
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Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness