letta-ai/letta-code is an agent harness for building assistants that retain memory, identity, and experience across interactions instead of treating each task as isolated. Developers use it through local, desktop, browser, or messaging interfaces for interactive or continuously running agents, and its catalogue entries configure the agents' skills, instructions, rules, and behavior.
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 letta-ai/letta-code --skill scheduling-tasksgit clone --depth 1 https://github.com/letta-ai/letta-codeWrote 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/letta-ai/letta-code/scheduling-tasks)<a href="https://agentmods.dev/skills/letta-ai/letta-code/scheduling-tasks"><img src="https://agentmods.dev/badge/skills/letta-ai/letta-code/scheduling-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/letta-ai/letta-code/scheduling-tasks"><img src="https://agentmods.dev/badge/skills/letta-ai/letta-code/scheduling-tasks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.02436 |
| Opus 5.5 | $0.00016 | $0.00974 |
| Sonnet 5.5 | $0.00008 | $0.00487 |
| Haiku 4.5 | $0.00004 | $0.00244 |
Grade A, and why
scheduling-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 26d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scheduling Tasks
This skill lets you create, list, and manage scheduled tasks using the letta cron CLI. Scheduled tasks send a prompt to the agent on a timer — useful for reminders, periodic check-ins, and deferred follow-ups.
For ordinary one-shot or recurring work in the current conversation, use Wake instead. Wake is self-bound and covers create, list, and cancel without routing choices.
When to Use This Skill
- The task should run in a fresh, default, or different conversation
- The task needs a specific connected computer
- You need run history, replacement, or broader schedule inspection
- Wake cannot see or manage the schedule you need
Where Schedules Run
Execution determines schedule ownership; there is no runner selection flag:
- In a managed Cloud sandbox, schedules are durable Cloud schedules and run in the agent's Cloud sandbox.
- On a user-managed computer or self-hosted runtime, schedules are local and fire only while a Letta session is running there.
From a managed Cloud sandbox, --computer <deviceId> can run the scheduled work on a specific connected computer. Get the device ID from letta computers list. If that computer is offline at fire time, execution falls back to the Cloud sandbox. Local execution cannot target another computer.
Creation and execution follow those rules, while management commands still show and cancel both local and Cloud inventory. This keeps schedules created by older CLI versions visible without changing where new schedules run.
CLI Usage
All commands go through letta cron via the Bash tool. Output is JSON.
Creating a Task
letta cron add --name <short-name> --description <text> --prompt <text> <schedule>
Required flags:
| Flag | Description |
|---|---|
--name <text> |
Short identifier for the task (e.g. "dog-walk-reminder") |
--description <text> |
Human-readable description of what the task does |
--prompt <text> |
The message that will be sent to the agent when the task fires |
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.
- 26d ago Changed · -9 lines · -2 tokens per session 6dafd56471b5
- 27d ago Changed · +4 lines · -7 tokens per session ea7f0214c54e
- 1mo ago Changed 18bccc0be0ef
- 1mo ago First seen · 233 lines · 49 tokens per session scan A 910b6b5e1994
scheduling-tasks is a skill published in the GitHub repository letta-ai/letta-code (3,675 stars, last pushed today), licensed Apache-2.0. It adds 40 tokens to every session and 2,436 once invoked, about $0.0002 per session on Opus 5.5. 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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