Lab Cover Set

Make a four-to-eight still pack from assignment names and points the user already supplied. Use this Skill when a lab report needs a cover set — one still per named assignment — not a session cover pack and not a character-card pack.

Use wealth-cover-set when the work is one still per named investor education session. Use hanzi-card-set when the work is one still per named character. Use art-demo-set when the work is one classroom still per drawing step. Do not look up public posts or textbooks for missing assignment titles. Do not invent a score, rank, grade, or experiment conclusion.

Collect supplied assignments

Hard inputs are the exact set name and the user-supplied assignment names and points that will appear on the covers. Do not invent an assignment, score, rank, grade, or experiment conclusion to finish a slot. Reuse destination (print, screen, slide), language, palette, and must-keeps already in the conversation.

Ask only for facts that change the pack:

• exact set, unit, or class name;
• each named assignment and the points the user already approved;
• destination surface and language; and
• an optional brand still if the pack should match that look.

A scan or photo is a visual reference, not a source for missing assignment titles. Uploading makes media available to Beatra and does not inspect it. When the host cannot view a file, keep the user's declared role for it.

Default to one still per named assignment, four to eight stills in the pack. If they name fewer than four assignments, keep that count. Cap the pack at eight. If they want a standard set and have not numbered assignments, plan four stills from the names already given. Omit a line whose fact is missing and keep that gap on the plan so the user can add it later.

Keep the same type, palette, and layout across the pack so the stills read as one lab cover set.

Plan the free pack list

Write a labeled pack list before any paid image. For each assignment record the printed lines, language, layout (assignment name, points, optional footer), canvas, and any optional reference role. That list is the free visible result. Planning is not approval.

Before setting a concrete model, canvas, output count, or price, read the current beatra.models.list card for text_to_image. Keep model as auto and count at 1 per still. Default canvas is 3:4 2K for print lab-report covers. Change canvas only when the user names a destination that needs another ratio. A user who wants another candidate adds a distinct slot and approves that new work.

Use beatra.images.edit only after the user accepts a still and asks for a local correction, with that accepted image as images[0].

Read lab cover pack workflow when writing the payload or recovering a task.

Confirm once, create by assignment

Planning is free. Before the first billable call, show one current production card that lists every named assignment cover, and wait:

1. Work — one assignment-cover still per named assignment, a generate call (beatra.images.generate).
2. Credits — the live text_to_image price just read. Do not reuse a remembered number.
3. Count — one paid call per assignment still. This card lists every slot in the pack. Do not batch several assignments into one count. This approval does not cover retries.
4. Identity — one new opaque client_request_id per still. A changed prompt, assignment line, file, model, or canvas mints a new ID.
5. If we stop here — the labeled pack list remains usable.
6. If the balance is insufficient — relay the official message and its top-up URL exactly. Translate the prose; keep the URL. Do not retry until the user says they have topped up.

Submit once through bundled scripts/mcp_client.py. Poll beatra.tasks.get. Deliver actual bytes plus billing.net_charged_credits. Do not promise the prepaid estimate is the final charge.

After approval, submit each still once. Keep no more than two generation tasks in flight on one connection.

Review, deliver, and recover

Review printed lines against the confirmed pack list. Report only the text the host can actually see. Treat generated small type as a review item, not as a grade or an experiment conclusion.

Deliver the stills in assignment order, the pack list, observed dimensions and formats, task IDs, resolved models, and returned billing.net_charged_credits. A focused correction is new paid work with its own card and ID.

After a returned task_id, poll that task. If the create response is lost, retry only the identical frozen payload with the original ID. If the task ID is missing, use beatra.tasks.list and verify candidates with beatra.tasks.get before another submit. Use beatra.tasks.cancel only when the user asks.

Execution

Invoke every remote Beatra operation only through this package's bundled scripts/mcp_client.py. Put the MCP tool name after call and send one JSON object on standard input.

python3 scripts/mcp_client.py call beatra.models.list

{"capability": "text_to_image"}

printf '%s' '{"prompt":"Create the approved assignment-cover still for the named lab assignment. Print only the confirmed assignment name and points. Keep the shared pack look.","model":"auto","count":1,"canvas":{"type":"preset","tier":"2K","aspect":"3:4"},"client_request_id":"opaque-lab-cover-01"}' | python3 scripts/mcp_client.py call beatra.images.generate

Do not configure or call a host Beatra Connector, and do not use REST/OpenAPI as a fallback.

Account balance

When the user asks how many credits remain or whether a live estimate fits, call beatra.wallet.get. When they ask what was charged, call beatra.wallet.ledger. Both are read-only. Do not invent an account-balance or top-up tool. Do not make wallet.get a required step before every paid submit.

When a model card comes back carrying a top_up block, relay its tiers as the card lists them and in that order. Do not rank them, do not talk one down, and do not pick one for the user. Which tier suits them is their call, made on the wallet page with the whole list in front of them. Never quote a tier from memory.

References by task

• For pack lists, payloads, confirmation, polling, recovery, and review, read lab cover pack workflow.
• For authorization and the non-billable registration step, read installation and authentication and installation registration.
• For shared task, billing, and connection details, read tasks and results, billing, errors, and recovery, and Bundled MCP Client diagnostics.
• For update guarantees and controls, read automatic updates and safety. For removal, read uninstall and disconnect.

Runtime and safe automatic updates

The bundled client silently checks for a newer release at most once every 24 hours per installation. When a newer version is available, it installs automatically without separate confirmation. It downloads only from the fixed official Beatra discovery and immutable CDN paths for this package, channel, and locale, verifies discovery data, archive, manifest, and every packaged file, and replaces only package-owned files.

Update checks, downloads, verification, replacement, rollback, and recovery fail open: the current installation remains usable and the original command continues. An update failure never authorizes retrying a paid image request. The setting persists for this installation. See automatic updates and safety.

python3 scripts/mcp_client.py update --auto off
python3 scripts/mcp_client.py update --auto on
python3 scripts/mcp_client.py update --check