AI Voice Cloning Skill

Voice Cloning Studio prepares a reviewed Beatra package for creating a reusable personal or brand voice from a clean audio sample, giving it a memorable name and testing it in a short reading. It runs from Claude Code, Codex, or OpenClaw through the paid hosted Beatra service. Uploading the sample enrolls a persistent custom voice. Before the sample leaves the device, the speaker or rights holder must attest that they own it and approve enrollment; documented owner consent is required. Do not clone a voice without that consent or create deceptive impersonations. Review the test reading before approving further paid use.

This is a reviewed catalog pointer, not an executable package. It contains no client code and performs no Beatra operation itself. The referenced package uses the hosted, paid Beatra service at mcp.beatra.ai. Its three bundled Python scripts make network calls, store a credential and can replace package-owned files; the package therefore requires inspection before activation.

Use it only when the user explicitly wants this work on Beatra, accepts that the service is paid and agrees to send prompts and approved reference media to a third party. It is unsuitable for local-only work or an unapproved paid render. Outputs are probabilistic, with no guarantee of uniqueness or non-infringement, and require human review before publication. Users must hold rights to their uploads and avoid deceptive impersonation.

A Beatra account, network access, Python 3.10+ and prepaid credits are required. Models, prices, schemas and availability are controlled by Beatra and upstream providers. Failed tasks attributable to either provider receive automatic credit returns; other purchases are non-refundable. Actual usage can exceed an estimate and leave a negative balance.

Read the installed SKILL.md and its references for routes, payload shapes and the review loop. Free, non-billable model discovery and task listing come first so current model cards and credit estimates can be inspected. Every paid call needs a cost card specifying the tool, model, estimate and upload files, followed by explicit approval for that exact payload. A general instruction to proceed does not replace this approval.

Upload only files supplied and approved for the task, submit once with a stable client_request_id and poll the returned task. If a response is lost, retry with that same identifier and identical arguments, never a replacement while the task runs. Report the artifact and billing.net_charged_credits from the terminal result, then review it before any additional paid stage.

The reviewed pin is voice-cloning-studio 0.2.1, licensed MIT No Attribution (MIT-0), at source commit 64923d96ecdd1adce28ad4ad264b3808dda0ce2d. Its archive is https://cdn.beatra.ai/agent-packages/voice-cloning-studio/v0.2.1/voice-cloning-studio-skill-0.2.1.zip; the independently anchored SHA-256 is 38299679b429aa73ce5d514c3e314e77330d7c6d663e480a9d982dd852a428a2. Obtain approval to download into a review directory, then verify the archive before proceeding:

umask 077
review_dir="$(mktemp -d)"
cd "$review_dir" || exit 1
curl -fsSLO "https://cdn.beatra.ai/agent-packages/voice-cloning-studio/v0.2.1/voice-cloning-studio-skill-0.2.1.zip"
printf '%s  %s\n' \
  '38299679b429aa73ce5d514c3e314e77330d7c6d663e480a9d982dd852a428a2' \
  'voice-cloning-studio-skill-0.2.1.zip' | shasum -a 256 -c -

Stop unless verification prints OK. Inspect regular-file contents and check for symlinks, executable bits and binaries; compare every file with the pinned source tree. The package includes SKILL.md, manifest.json, Markdown references, authorize.py, mcp_client.py and uninstall.py. It uses only the Python standard library, with no dependency installation or lifecycle hooks.

A separate approval is needed to copy the reviewed package into the host's skills directory. Disable automatic updates immediately with update --auto off before authorization, verification, tools, uploads or calls. The setting is tied to the resolved installation path and must be repeated after moving it. Automatic updates otherwise check at most daily and replace files using Beatra-controlled checksums. A newer version requires a fresh digest and tree review, a file-difference report and approved replacement. update --check queries availability without replacing files.

Authorization is its own approved browser OAuth device flow through api.beatra.ai. It stores a shared full-scope bearer token, including wallet:spend, in ~/.beatra/credentials.json with a 0700 directory and 0600 file. The token has a sliding fifteen-day idle lifetime and stays out of command arguments, environment variables and output. Prompts and uploads go through mcp.beatra.ai to the executing upstream provider; Beatra is hosted outside mainland China.

Local state records installation identity, hostname, platform, installed skill paths, registrations and update state or backups under ~/.beatra/. Hostname, package version and platform are sent during authorization; first use registers the installation, and tool calls include source_package_slug and source_platform with no opt-out. Account data lasts for the account lifetime, while task artifacts and billing ledgers remain after closure for audit and tax.

Uninstallation first supports a dry run. Its disconnected decision removes shared connection files when this was the last Beatra skill; keep_connection preserves a token used by another skill. Update state is removed separately only when no skill remains. A token that cannot be revoked expires after idle time or can be revoked in the Beatra Console. Deleting the installation path requires confirmation of that path.