voice-cloning-studio – Other skill for AI agents
Install and use the official AI Voice Cloning package, pinned by digest, for paid hosted work on the Beatra service.
Install the voice-cloning-studio skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/voice-cloning-studio-a544e.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /voice-cloning-studio – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/voice-cloning-studio-a544e.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $voice-cloning-studio – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/voice-cloning-studio-a544e.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /voice-cloning-studio – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/voice-cloning-studio-a544e.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /voice-cloning-studio – then describe the task you want done.
SKILL.md content
AI Voice Cloning Skill
Overview
Create a reusable personal or brand voice from a clean audio sample, give it a memorable name, and hear it in a short test reading, from inside Claude Code, Codex, or OpenClaw. The work is produced on the hosted, paid Beatra service
(mcp.beatra.ai).
This catalog entry is a reviewed pointer, not the executable package. It
contains no client code and performs no Beatra operation by itself. The package
it points to bundles three standard-library Python scripts that make network
calls and store a credential. It has no self-updater: it never downloads
code and never changes its own files. Read
[Install](#install-pinned-verified-approved-twice) and
[Security & Safety Notes](#security--safety-notes) before activating it.
| Pinned identity | Value |
| --- | --- |
| Package | voice-cloning-studio 0.2.9 |
| Source commit | [beatra-ai/ai-voice-cloning-skill@96df577](https://github.com/beatra-ai/ai-voice-cloning-skill/tree/96df577b88e66fd49cc31ce1b290b2eae87fae53/skills/voice-cloning-studio) (full SHA 96df577b88e66fd49cc31ce1b290b2eae87fae53) |
| Package tree | b2ac85862fd40f449eccceeabab60d60af4e68ae (Git tree ID of skills/voice-cloning-studio at that commit) |
| License | MIT No Attribution (MIT-0) |
The pinned tree holds regular files only (no symlinks, no executable bits, no
binaries). Confirm that with the inspect commands below.
When to Use This Skill
- Use when the user explicitly wants a reusable custom voice enrolled on Beatra and accepts that it is paid.
- Use only after the speaker (or rights holder) attests they own the sample and approve enrollment.
- Do not use to clone a voice without documented owner consent.
Install (pinned, verified, approved twice)
Step 1: Fetch the pinned tree into a review directory
Explain that this fetches an external package from github.com, then ask
for approval. Only after approval:
set -e
umask 077
review_dir="$(mktemp -d)"
cd "$review_dir" || exit 1
git clone --quiet --filter=blob:none --no-checkout https://github.com/beatra-ai/ai-voice-cloning-skill.git src
git -C src checkout --quiet 96df577b88e66fd49cc31ce1b290b2eae87fae53 -- skills/voice-cloning-studio
test "$(git -C src rev-parse '96df577b88e66fd49cc31ce1b290b2eae87fae53:skills/voice-cloning-studio')" = 'b2ac85862fd40f449eccceeabab60d60af4e68ae' && echo TREE-OKStop if the last command does not print TREE-OK. The expected commit and
tree IDs come from this catalog entry, not from the package or its website,
and Git addresses every fetched object by its hash.
Step 2: Inspect before activation
git -C src ls-tree -r 96df577b88e66fd49cc31ce1b290b2eae87fae53 -- skills/voice-cloning-studio | awk '$1 != "100644"' # expect no output
grep -n -E 'maybe_auto_update|download_update|_apply_update' src/skills/voice-cloning-studio/scripts/mcp_client.py # expect no outputThe first check lists any symlink, executable, or submodule entry; the second
finds the entry points of the self-updater that earlier versions shipped.
Report to the user what the review found: SKILL.md, manifest.json,
install-source.json (the one-line marker {"schema_version":1,"source":"github"}),
the bundled Markdown references, and scripts/authorize.py,
scripts/mcp_client.py, scripts/uninstall.py (Python 3.10+, standard
library only, no dependency installation, no lifecycle hooks). Summarize the
network, credential, local-state, telemetry, and version-notice behavior
listed under [Security & Safety Notes](#security--safety-notes).
The manifest and pattern scans above are only inventory aids. Before activation, read every file in the pinned tree, including each script, reference and hook, and inspect all dependency and network behavior. Do not claim source review from grep output. If complete review cannot be performed, stop before copying or executing; ask for a separate review rather than treating a digest as evidence of safety.
Step 3: Copy in
Ask for a second, separate approval, because this changes agent
configuration. Then copy the reviewed tree to the host's skills directory
(Claude Code shown; use the equivalent path for other hosts):
dest="$HOME/.claude/skills/voice-cloning-studio"
test ! -e "$dest" && test ! -L "$dest" || { echo "destination exists; stop and ask the user"; exit 1; }
cp -R "src/skills/voice-cloning-studio" "$dest"There is no update switch to turn off in this version.
Step 4: Authorize as its own decision
Authorization opens a browser sign-in and stores a bearer token. Ask first.
python3 "$dest/scripts/authorize.py"Start a new agent session if the host discovers skills only at startup.
How It Works
1. Read the installed package's SKILL.md and its references; they define the
routes, payload shapes, and review loop.
2. Use free, non-billable discovery first (beatra.models.list, task list) to
read current model cards and credit estimates.
3. Show the user a cost card for exactly one paid call: tool, model, estimate,
and which files will be uploaded. Wait for explicit approval. Planning or
"just do it" is not approval.
4. Upload only files the user supplied and approved for this task, then submit
once with a stable client_request_id and poll the returned task.
5. Report the delivered artifact and billing.net_charged_credits, review the
result with the user, and ask again before any further paid stage.
Examples
Free connection check (non-billable)
python3 "$HOME/.claude/skills/voice-cloning-studio/scripts/mcp_client.py" verifyOne approved paid call
After the user approved the cost card for this exact payload, submit once with
a stable request id using the tool name from the installed SKILL.md. If the
response is lost, retry only with the same client_request_id and identical
arguments; never submit a replacement while the task is running.
Update
This pinned version cannot update itself: it has no code that downloads or
replaces package files. update only reports what the store or tool that
installed the copy offers; for a copy installed by the steps above it finds
no such record and says to update the way you installed it. See the version
notice under [Security & Safety Notes](#security--safety-notes).
To move to a newer version, repeat Steps 1 to 3 for that commit in a new
review directory, show the user the file-level changes against the installed
copy (for example git -C src diff --stat 96df577 <new-commit> -- skills/voice-cloning-studio),
and replace the directory only after approval. A version not listed in this
entry has not been reviewed here.
Uninstall
dest="$HOME/.claude/skills/voice-cloning-studio"
python3 "$dest/scripts/uninstall.py" --dry-run
python3 "$dest/scripts/uninstall.py"Read the JSON decision. disconnected means this was the last Beatra skill on
the device: the token was revoked (when revoked is true) and the files
credentials.json, installation.json, host.json, skills.json,
network.json, balance-holds.json, pending_authorization.json, and
.authorize.lock under ~/.beatra were removed. keep_connection means
another Beatra skill still uses the shared token, which stays.
revoke_retry means the server refused the revocation and nothing changed;
run it again shortly. The script never deletes the package directory: after
confirming the path it prints with the user, delete $dest.
uninstall.py does not remove ~/.beatra/updates/. When the decision is
disconnected and no other Beatra skill is installed, remove that directory
and then the empty ~/.beatra; otherwise leave them. A token that could not
be revoked expires after 15 days idle and can be revoked at once in the
Beatra Console under Agents.
Best Practices
- ✅ Keep one approval per paid call, per upload set, and per install step.
- ✅ Report net charged credits from the terminal task, not the estimate.
- ❌ Do not replace the installed copy with an unreviewed version silently.
- ❌ Do not print, paste, or move the token out of
~/.beatra/credentials.json. - ❌ Do not retry a paid call with a new request ID after an uncertain response.
Limitations
- Requires a Beatra account, network access, Python 3.10+, and prepaid credits.
- Models, prices, schemas, and availability are controlled by Beatra and its
upstream model providers and can change; the service is provided as is.
- Outputs are probabilistic, not guaranteed unique or non-infringing, and need
human review before publication.
- This catalog entry reviews only the pinned tree above. A newer version is
a different review.
Security & Safety Notes
risk: critical is deliberate.
- Network. Every request is HTTPS and refuses redirects. Authorization
uses api.beatra.ai and tool calls go to mcp.beatra.ai; an upload is a
PUT of the approved file to the HTTPS address the server returns, without
the bearer token. Unless
… (full content is in the download package)
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