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 agentmods add skills/coreyhaines31/makerskills/loopifynpx skills add coreyhaines31/makerskills --skill loopifygit clone --depth 1 https://github.com/coreyhaines31/makerskillsWhat 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 | $0.00249 | $0.02462 |
| Opus 5 | $0.00125 | $0.01231 |
| Sonnet 5 | $0.00050 | $0.00492 |
| Haiku 4.5 | $0.00025 | $0.00246 |
Grade A, and why
loopify 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/loopify — Set up an agent loop
Wizard for going from "this task should run periodically" to a working loop with the right pacing, idempotency, and bail-out. Reference: ScheduleWakeup (dynamic pacing), CronCreate (fixed schedule), and the built-in /loop (dynamic self-paced re-entry).
Step 0 — Confirm what you're looping
Ask if not obvious from context: "What task should this loop do each iteration?"
Then get the essentials:
| Question | Why it matters |
|---|---|
| How often? | Determines cron vs dynamic vs one-shot |
| When to stop? | Bail-out condition — loops must have one |
| What's the loop body doing? | Determines idempotency requirements |
| Where does output go? | File / notification / commit / nothing |
| What's the failure mode if it runs twice? | Idempotency validation |
Step 1 — Pick the pattern
Three primary patterns. Route by the answer to "how often":
Pattern A — Cron (fixed schedule)
Use when: task runs at predictable intervals — daily at 8am, weekly on Fridays, hourly on the hour.
Tool: CronCreate — schedules a recurring task with a cron expression.
CronCreate({
schedule: "0 8 * * *", // daily at 8am local
prompt: "<loop body prompt>",
timezone: "America/Los_Angeles"
})
Common cron patterns:
0 8 * * *— daily at 8am0 9 * * 1— Mondays at 9am0 9 * * 5— Fridays at 9am0 */2 * * *— every 2 hours*/15 * * * *— every 15 minutes
Trade-offs:
- ✅ Predictable, human-readable, easy to reason about
- ✅ Best for time-of-day-dependent tasks (morning brief, EOD summary)
- ❌ Runs at the scheduled time even if the last run isn't done — need idempotent body
- ❌ No self-pacing — over-schedules if the task duration varies wildly
Pattern B — Dynamic pacing (self-scheduled)
Use when: task should react to state, not the clock. Monitor-until-condition-met patterns. Waiting on an external event.
Tool: ScheduleWakeup — the current run schedules its own next wake-up.
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.
- 3d ago First seen · 205 lines · 249 tokens per session scan A c93e1fc7ac1b
loopify is a skill published in the GitHub repository coreyhaines31/makerskills (750 stars, last pushed 5d ago), licensed MIT. It adds 249 tokens to every session and 2,462 once invoked, about $0.0012 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 2026-08-30.
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