Skill

Viral Video Remake Skill

Analyze a short video’s hook, beats and call to action, then prepare an approved Beatra remake around your own subject.


88
Spark score
out of 100
Updated 17 days ago
Source checked Oct 7, 2026
Version 19.0.1

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Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-viral-video-teardown-remake | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Viral Video Remake Skill

Analyze a short video’s hook, beats and call to action, then prepare an approved Beatra remake around your own subject. The catalog pointer requires a separately installed, reviewed Beatra package. Use after explicit approval of paid Beatra work and any third-party uploads.

What it does

Viral Video Remake prepares a reviewed Beatra package to break a successful short video into its hook, beats and call to action, then rebuild that structure around the user’s own subject. Outputs may include a shot list, beat frames and narration, delivered as one vertical clip or segmented sources with captions and a timecoded edit list. It runs inside Claude Code, Codex, or OpenClaw using paid hosted Beatra production. Require approval for the exact reference-media file set sent to Beatra and its provider. This is not local-only or offline editing or timeline assembly; a remake does not guarantee viral performance or authorize deceptive impersonation.

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.

When to use - and when NOT to

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.

Inputs and outputs

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.

Integrations

The reviewed pin is viral-video-teardown-remake 0.3.1, licensed MIT No Attribution (MIT-0), at source commit 46f78753183ce9bd35574cdef7f57f811f468794. Its archive is https://cdn.beatra.ai/agent-packages/viral-video-teardown-remake/v0.3.1/viral-video-teardown-remake-skill-0.3.1.zip; the independently anchored SHA-256 is f767938c5838a0e9f606f5ff0d8d0f6a5bddfc69906304d31e61749d3bf3fc63. 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/viral-video-teardown-remake/v0.3.1/viral-video-teardown-remake-skill-0.3.1.zip"
printf '%s  %s\n' \
  'f767938c5838a0e9f606f5ff0d8d0f6a5bddfc69906304d31e61749d3bf3fc63' \
  'viral-video-teardown-remake-skill-0.3.1.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.

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