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.
git clone --depth 1 https://github.com/Vitalini/ebb-aiWrote 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/commands/vitalini/ebb-ai/defer)<a href="https://agentmods.dev/commands/vitalini/ebb-ai/defer"><img src="https://agentmods.dev/badge/commands/vitalini/ebb-ai/defer/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/commands/vitalini/ebb-ai/defer"><img src="https://agentmods.dev/badge/commands/vitalini/ebb-ai/defer.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 | $0.00164 | $0.01907 |
| Opus 5.5 | $0.00066 | $0.00763 |
| Sonnet 5.5 | $0.00033 | $0.00381 |
| Haiku 4.5 | $0.00016 | $0.00191 |
Grade A, and why
defer 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 21d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The user wants to defer the following task to a cleaner-grid window using the
ebb-ai MCP server. This is the central UX of the ebb-ai Claude Code plugin —
take a "do it later" request and route it to a real scheduler.
When to invoke automatically (without the user explicitly typing /ebb-ai:defer)
Any of these signals means the user has implicitly opted into deferral.
Convert their wording to an ISO-8601 deadline and call schedule_task:
| User phrase | Implied deadline |
|---|---|
| "by tomorrow" | tomorrow, end of working day (18:00) |
| "tonight" / "overnight" | tomorrow, 06:00 local |
| "by EOD" | today, 18:00 local |
| "this week" | Friday, 18:00 local |
| "next week" | next Friday, 18:00 local |
| "when you have a moment" | +24 h |
| "remind me to X" | +24 h, unless a time is named |
| "no rush" / "not urgent" | +48 h |
| "schedule this for X" | parse X explicitly |
| "queue this up" | +12 h |
If the user does NOT signal "later" (e.g. "summarize this", "write a function", "what does X do"), do not auto-defer. Run inline.
If the user explicitly typed /ebb-ai:defer ..., follow the explicit
args. The auto-invocation above is for the unprompted case only.
Arguments
$ARGUMENTS
Parse $ARGUMENTS into:
- Prompt — everything before the first
--flag, or the whole argument string if no flags are present. Required. If empty, ask the user what task they want to defer. --by <duration>— deadline. Accepts2h,30m,24h,3d, or an ISO-8601 timestamp. Default: 24h from now. Must resolve to the future.--budget <grams>— optional hard cap on grams CO2-equivalent. If the scheduler can't find a window that meets it, the task fails fast with aCarbonBudgetExceededError.--region <zone>— optional Electricity Maps zone code (e.g.US-CAL-CISO,GB,FR). Default: omit the field — the server resolves its own default (EBB_DEFAULT_REGIONif configured, otherwise a guess from the host machine's timezone, falling back toGB). Theregionline in the tool response tells you what it picked; relay that to the user.--model <name>— optional vendor model id (e.g.claude-sonnet-5). Without it the server uses the chosen provider's default:claude-sonnet-5foranthropic(overridable withEBB_DEFAULT_MODEL),gpt-6-solforopenai. Themodelline in the tool response shows what it picked.--output <abs-path>— optional absolute file path. When the task completes, ebb-ai writes{ taskId, result, receipt }as JSON to this path. Useful if the user wants the result to land in an inbox folder (sotail -for a file-watcher surfaces it) rather than polling/ebb-ai:checkby hand. Recommend~/.ebb-ai/inbox/<task_id>.jsonwhen the user is unsure where to put it.--provider <anthropic|openai>— optional. Defaultanthropic.
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.
- 21d ago Changed · -4 tokens per session c4a9d8d3dfdd
- 24d ago Changed · +1 lines 3aa3cc69c868
- 1mo ago First seen · 133 lines · 168 tokens per session scan A 69eb8f501b4f
defer is a command published in the GitHub repository Vitalini/ebb-ai (1 stars, last pushed 9d ago), licensed Apache-2.0. It adds 164 tokens to every session and 1,907 once invoked, about $0.0007 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 2026-08-31.
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