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.
npx skills add adsagents/adsagent-ai-skills --skill agent-scheduled-tasksgit clone --depth 1 https://github.com/adsagents/adsagent-ai-skillsWrote 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.
[](https://agentmods.dev/skills/adsagents/adsagent-ai-skills/agent-scheduled-tasks)<a href="https://agentmods.dev/skills/adsagents/adsagent-ai-skills/agent-scheduled-tasks"><img src="https://agentmods.dev/badge/skills/adsagents/adsagent-ai-skills/agent-scheduled-tasks/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/adsagents/adsagent-ai-skills/agent-scheduled-tasks"><img src="https://agentmods.dev/badge/skills/adsagents/adsagent-ai-skills/agent-scheduled-tasks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.00268 |
| Opus 5 | $0.00015 | $0.00134 |
| Sonnet 5 | $0.00006 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
agent-scheduled-tasks scanned grade A with 0 findings 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 11d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Agent Scheduled Tasks
- Classify the job as reminder/heartbeat, auditable execution, or consequential execution.
- Resolve timezone, cadence, destination, stable scope, allowed tools, evidence, retry budget, and stop conditions before creating it.
- Use the actual scheduler interface once, then read back its stored contract.
- Run now only when supported and record the scheduler plus downstream evidence separately.
- Never put credentials in the prompt, guess permissions, or treat schedule creation as execution proof.
- Treat a matching delivery prepare as the live preflight. Consume inline verification first and use the advertised native operation fallback only when recovery remains pending; a missing optional selector before mutation does not disable read-only schedule evaluation.
- For explicit Meta candidates, batch up to 50 exact IDs with
overview_get_live_configs; correlate only byentity_typeandentity_id.
Read scheduled-task-contract.md only when designing, creating, updating, debugging, pausing, deleting, or proving a scheduled task.
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.
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.
- 11d ago First seen · 27 lines · 31 tokens per session scan A 06a668443729
agent-scheduled-tasks is a skill published in the GitHub repository adsagents/adsagent-ai-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 268 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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