Install
openclaw skills install @beatra-ai/xiaohongshu-policy-talkingTurn Xiaohongshu policy-question notes into one talking policy clip per still. This Xiaohongshu policy talking studio reads public policy-question notes, then records each already-written public-policy line as a 2 to 15s talking clip. Those policy talking clips stay separate files they can send on their own.
openclaw skills install @beatra-ai/xiaohongshu-policy-talkingTurn Xiaohongshu policy-question notes into one talking policy clip per still. Deliver 2 to 8 clips. Do not stitch them. Speak only public-policy lines the desk already wrote. Do not invent a subsidy amount, eligibility, or a personal grant.
Use this Skill when a street-office or civil-affairs desk wants short talking clips that answer public Xiaohongshu policy-question notes with an already-written public-policy draft.
Route Xiaohongshu hall materials stills to
xiaohongshu-hall-faq-stills. Route a wealth-product FAQ note read
to xiaohongshu-wealth-faq-talking. Route a generic presenter to
talking-avatar-video.
This package reads Xiaohongshu policy-question notes and makes talking clips. It does not post on Xiaohongshu. If this connection has no Xiaohongshu note or comment operation, work from pasted questions only.
Hard inputs are:
Reuse already-known language, window names, and a frozen
voice_id. Ask only for a missing hard input. A count outside 2 to
8 is still doable: confirm that pack size and its live cost.
Do not invent a note question, subsidy amount, eligibility rule, or personalized grant line. File access is not consent.
Inspect every still. Record MIME type, width, height, aspect ratio,
byte size, and whether it has an alpha channel. For a local file,
upload only through the bundled client after inspection
(scripts/mcp_client.py / beatra.assets.upload). Keep the returned
artifact id. Never pass a local path to beatra.voices.clone,
beatra.speech.synthesize, or beatra.videos.animate.
Write a labeled note-to-talking list before any paid lookup, clone, speech, or video. Default three slots unless the desk names another count in 2 to 8. Each slot records the original policy-question wording, the speakable line from the supplied public draft, the still, intended length as a 2–15s clip, and whether it uses a catalog voice, an approved track, or a clone.
That list is the free visible result from whatever the desk already pasted. Planning is not approval.
Safe defaults:
beatra.videos.animate call per still;model: "auto" unless the desk chose a live SKU;A note link or search wording does not authorize a lookup. When the desk wants this connection to read public Xiaohongshu policy-question notes or comments, follow policy note lookup: search, inspect, then show a six-field lookup card and wait:
beatra.social.execute with the
inspected operation_key).beatra.social.tools.get just returned.
Quote that live number, not a remembered one.client_request_id per execute.Do not show schema_hash to the desk. A confirmed lookup does
not authorize clone, speech, or video. After a terminal lookup,
report the payload, task ID, terminal status, and
billing.net_charged_credits. A lookup has no model, dimensions, or
duration to report.
Clone, speech, and video are separate paid stages. Each stage gets
its own six-field card and its own opaque client_request_id per
slot.
If the desk wants a cloned voice, inspect an authorized sample,
read the live voice_clone card, and wait on the clone card before
beatra.voices.clone. A found file is not clone consent. Show the
clone card and wait:
beatra.voices.clone).voice_clone price just read. Do not reuse a
remembered number.client_request_id.Before speech, call beatra.models.list for text_to_speech:
{"capability": "text_to_speech"}
Use beatra.voices.list when a catalog voice still needs a choice.
Show the speech card and wait:
beatra.speech.synthesize).text_to_speech price just read, times the
slot count. Do not reuse a remembered number.client_request_id per slot.Submit each speech slot once through bundled scripts/mcp_client.py
with input, not text. Use format: "mp3" and speed: 1.0. Use
model: "auto" only when every live speech card supports the
language. Poll beatra.tasks.get. Read actual audio MIME, duration,
and size, and billing.net_charged_credits. A script preview is
not the audio review.
Before video, call beatra.models.list for image_to_video:
{"capability": "image_to_video"}
Confirm a current card admits [image, driving_audio]. Compare every
image fact and the real audio MIME, duration, and size with advertised
limits. Live driving-audio clips are 2–15s. If speech is longer than
the longest containable clip, split into sequential containable
segments; each segment is new speech and new video, each with a new
ID. Do not stitch the segments into one file. Approved narration does
not authorize video. The 600-credit signup gift usually cannot start
this video. Show the video card and wait:
beatra.videos.animate).image_to_video price just read, times the
segment count. Do not reuse a remembered number.client_request_id per segment.Then submit beatra.videos.animate once per approved segment with
driving_audio attached.
Review that each clip stays on the supplied public-policy line and
that the still is the first frame. Report only what the host can
actually see and hear. Do not promise perfect lip sync. Never
invent a stitch, concat, or editor tool. After each terminal paid
task, deliver actual bytes plus MIME, duration, and size when
present, and billing.net_charged_credits. Do not promise the
prepaid estimate is the final charge.
After a returned task_id, poll that task. If the create response is
lost, search with beatra.tasks.list and verify with
beatra.tasks.get before replay. Reuse an ID only with
byte-identical arguments. A changed still, line, voice, or duration
is a new card and a new ID. Cancel only when the desk 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_speech"}
python3 scripts/mcp_client.py call beatra.models.list
{"capability": "image_to_video"}
printf '%s' '{"query":"notes","platform":"xiaohongshu","capability_family":"content"}' | python3 scripts/mcp_client.py call beatra.social.tools.search
printf '%s' '{"input":"Open on the approved public-policy line. Keep the desk-supplied wording.","voice":"voice-ready-01","format":"mp3","speed":1.0,"model":"auto","client_request_id":"opaque-policy-speech-01"}' | python3 scripts/mcp_client.py call beatra.speech.synthesize
printf '%s' '{"image":{"type":"artifact","artifact_id":"art-policy-01"},"driving_audio":{"type":"artifact","artifact_id":"art-speech-01"},"prompt":"A restrained public-policy read with steady eye line and a stable camera.","duration":8,"client_request_id":"opaque-policy-video-01"}' | python3 scripts/mcp_client.py call beatra.videos.animate
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 lookup, clone, speech, or video 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