check

check is a command for coding agents from Vitalini/ebb-ai. It costs 7 tokens per session (571 once invoked), scanned A, original, Apache-2.0.

A command that shows the status of tasks previously deferred to the ebb-ai scheduler.

In plain words
What is it for?
Use it to list all deferred tasks or inspect one task by ID. Completed tasks can include scheduling and carbon-use details.
Why use it?
It gathers queued, scheduled, running, completed, failed, and cancelled tasks in one view, so you can see what happened without checking each task manually.

Command

Part of the ebb-ai plugin — 1 skill, 8 commands, 1 MCP server shipped together

Install

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.

agentmods
npx agentmods add commands/vitalini/ebb-ai/check
Clone the repo
git clone --depth 1 https://github.com/Vitalini/ebb-ai

Or install ebb-ai, the plugin that ships this one along with the rest of its 1 skill, 8 commands, 1 MCP server.

Wrote 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.

agentmods badge for check

README.md
[![agentmods](https://agentmods.dev/badge/commands/vitalini/ebb-ai/check.svg)](https://agentmods.dev/commands/vitalini/ebb-ai/check)
Your own site
<a href="https://agentmods.dev/commands/vitalini/ebb-ai/check"><img src="https://agentmods.dev/badge/commands/vitalini/ebb-ai/check.svg" alt="Measured on agentmods" height="20"></a>
Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 571 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00007 $0.00571
Opus 5 $0.00003 $0.00285
Sonnet 5 $0.00001 $0.00114
Haiku 4.5 $0.00001 $0.00057

Measured 3d ago against content hash 6178e0dc2b3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

check 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.

packages/claude-code-plugin/commands/check.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Check the status of one or all ebb-ai deferred tasks.

Arguments

$ARGUMENTS

  • If $ARGUMENTS looks like a single task id (alphanumeric, dash, underscore only), check that one specific task.
  • If $ARGUMENTS is empty, list every known task — the summary always includes queued, scheduled, running, completed, failed and cancelled tasks (there is no age cutoff), including tasks persisted by previous sessions.
  • --all / all is accepted for compatibility and behaves the same as an empty argument.

What to do

  1. Call the ebb-ai MCP server's check_queue_status tool with:
    • task_id — the parsed id, omit for the list view.
  2. Render the result as a compact table — never raw JSON. For each task:
    • id (last 8 chars suffice)
    • statusqueued, scheduled, running, completed, failed, cancelled
    • scheduled_for — relative time ("in 2h", "yesterday 14:30")
    • region
    • For completed tasks: append the carbon receipt (fields as they appear in the response, when present):
      • estimated_carbon_g (what the scheduler projected)
      • actual_carbon_g (what was billed against the actual grid intensity at dispatch time, if present)
      • delta_pct+X% or -X% actual vs estimated
      • grid_source — which feed produced the intensity. If it is mock the response says so explicitly ("SYNTHETIC (mock) grid data") — repeat that caveat instead of presenting the grams as measured.
      • energy_source — confidence tier of the per-model energy coefficients (measured / estimated / fallback)
    • For failed: short error reason.
  3. If exactly one task is requested and the response carries a Result: block (the LLM response), include it verbatim under the table.
  4. End with a short hint line:
    • If anything is queued or scheduled: "Next dispatch tick: ~5 min (if the ebb tick daemon is installed — otherwise run ebb tick --once)."
    • If everything is completed: nothing.

Read the full file on GitHub · 57 lines

Changes

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.

  1. 3d ago First seen · 57 lines · 7 tokens per session scan A 6178e0dc2b3f

Subscribe to this mod's changes

check is a command published in the GitHub repository Vitalini/ebb-ai (1 stars, last pushed 22d ago), licensed Apache-2.0. It adds 7 tokens to every session and 571 once invoked, about $0.0000 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.