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/letta-ai/letta-code/customizing-commandsnpx skills add letta-ai/letta-code --skill customizing-commandsgit clone --depth 1 https://github.com/letta-ai/letta-codeWhat 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 | $0.00049 | $0.00849 |
| Opus 5 | $0.00024 | $0.00425 |
| Sonnet 5 | $0.00010 | $0.00170 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
customizing-commands 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 yesterday.
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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customizing Commands
Use this as the command-specific entrypoint for local mod slash commands. For broader mod work, recipes live in ../creating-mods/references/commands.md, ../creating-mods/references/architecture.md, ../creating-mods/references/ui.md, and ../creating-mods/references/plan-mode.md.
Mod files live in:
~/.letta/mods/
Use a focused file name, e.g. ~/.letta/mods/review.ts or ~/.letta/mods/commands.ts.
First decide whether a command is right
| User wants | Build |
|---|---|
/foo sends a prompt or shows local output |
Mod command |
/foo starts a reusable agent workflow |
Skill + thin mod command |
| Agent/model should autonomously call the capability | Mod tool, not a command |
| Command shows transient progress/results | Mod command + panel |
| Command needs model output while the main agent is busy | runWhenBusy: true command + forked ctx.conversation |
If the command is a reusable workflow like /goal, put the workflow instructions in a skill and keep the mod command as a small launcher/prompt.
Workflow
- Inspect
~/.letta/mods/for related command files. - Preserve unrelated mod code; create a focused new file if merging is messy.
- Register with
letta.commands.register()and guard withletta.capabilities.commands. - Return the unregister function, or a disposer that calls it plus any timer/panel cleanup.
- Tell the user the exact file path changed and to run
/reload.
Default prompt command
export default function activate(letta) {
if (!letta.capabilities.commands) return;
return letta.commands.register({
id: "review",
description: "Review current git changes",
args: "[focus]",
run(ctx) {
const focus = ctx.args.trim();
return {
type: "prompt",
content: focus
? `Review current git changes. Focus on ${focus}.`
: "Review current git changes. Focus on correctness issues.",
systemReminder: true,
};
},
});
}
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.
- yesterday First seen · 91 lines · 49 tokens per session scan A e09575b71ed1
customizing-commands is a skill published in the GitHub repository letta-ai/letta-code (3,156 stars, last pushed 2d ago), licensed Apache-2.0. It adds 49 tokens to every session and 849 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 2026-08-30.
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