Install
openclaw skills install @beatra-ai/risk-grade-setTurn user-supplied risk-grade definitions into a four-to-eight still risk grade set. This risk grade still studio lays out each named grade as its own still. Use it for risk grade graphics, risk level cards, risk classification stills, and a risk grade pack.
openclaw skills install @beatra-ai/risk-grade-setMake a four-to-eight still pack from risk-grade definitions the user already supplied. Use this Skill when a wealth session needs a risk grade set — one still per named grade — not a page-by-page factsheet and not a product gallery.
Use fund-page-set when the work is one prospectus still per named
page. Use ecommerce-listing-image-set for a hero, lifestyle, and
detail gallery. Keep session covers for wealth-cover-set when that
package is installed. Do not look up public posts or market quotes for
missing grade lines.
Hard inputs are the exact set name and the user-supplied risk-grade definitions that will appear on the stills. Do not invent a grade, buy or sell line, return figure, ranking, or regulator rating to finish a slot. Reuse destination (handout, screen, print), language, palette, and must-keeps already in the conversation.
Ask only for facts that change the pack:
A scan or photo is a visual reference, not a source for missing definitions. 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 grade, four to eight stills in the pack. If they name fewer than four grades, keep that count. Cap the pack at eight. If they want a standard set and have not numbered grades, plan four stills from the definitions 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 risk grade set.
Write a labeled pack list before any paid image. For each grade record the printed lines, language, layout (grade name, definition, 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. 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 risk-grade pack workflow when writing the payload or recovering a task.
Planning is free. Before the first billable call, show one current production card that lists every named grade still, and wait:
beatra.images.generate).text_to_image price just read. Do not reuse a
remembered number.count. This
approval does not cover retries.client_request_id per still. A changed
prompt, definition line, file, model, or canvas mints a new ID.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 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 certified risk rating or a buy recommendation.
Deliver the stills in grade 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.
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 risk-grade still for the named grade. Print only the confirmed grade name and definition. Keep the shared pack look.","model":"auto","count":1,"canvas":{"type":"preset","tier":"2K","aspect":"3:4"},"client_request_id":"opaque-risk-grade-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.
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.
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