Full video production from a single prompt. Script, shoot, stitch, score — automatically. 30s to 4-minute Instagram Reels, TikToks, Stories, and carousels with consistent characters and agentic editing. The most advanced AI video suite for social media content, powered by #1 on DeepResearch Bench (Feb 2026).
Security Analysis
medium confidenceThe skill is mostly instruction-only and stays within a plausible scope (it delegates work to a required 'cellcog' skill), but several important behaviors are underspecified—most notably how 'shoot' and 'automatic publishing' are actually performed and what the dependent cellcog skill requires—so you should inspect that dependency and data flows before installing.
The name/description promise (end-to-end script, shoot, stitch, score, auto-edit, and publish) is broadly consistent with an SDK-backed AI content generator; however the SKILL.md only shows calling cellcog.client.create_chat and gives no details about device/camera access, storage, or publishing APIs. That gap (marketing 'shoot' vs. only showing an API chat call) is unexplained and should be verified by reviewing the cellcog skill.
This skill is instruction-only and the runtime instructions are limited to installing and calling the 'cellcog' skill (example client.create_chat usage). The instructions do not tell the agent to read arbitrary local files, environment variables, or system paths. They do assume the cellcog skill handles the pipeline; check that skill's instructions for additional scope.
No install spec or code files are present; lowest-risk form. The only install guidance is a user-level 'clawhub install cellcog' for a dependency, which means the security surface depends on that dependency rather than this skill.
This skill itself declares no required env vars, credentials, or config paths. However it declares a dependency on the 'cellcog' skill — that other skill may require API keys, tokens, or other secrets. You should inspect the cellcog skill to confirm any requested credentials and whether they are proportionate to video generation/publishing.
always:false and default model invocation are used; the skill does not request persistent / global privileges or self-enablement. No instructions to modify other skills or agent-wide configs are present.
Guidance
This skill is an instruction wrapper that delegates the real work to a separate 'cellcog' skill. Before installing: (1) inspect the 'cellcog' skill's SKILL.md and any install/code for required credentials, endpoints, or binaries; (2) confirm where generated videos are stored and whether publishing to social accounts will require you to supply tokens—never share account tokens without understanding where they are sent; (3) verify how 'shoot' is implemented (local camera access vs. cloud synthetic generation) and whether any local device or file access is required; (4) check data retention and privacy: if content or source media are uploaded to external servers, confirm provider, retention, and ownership/IP terms; (5) if you plan to let the agent post to your social accounts, use disposable/test accounts or scoped tokens first. If you can provide the cellcog skill files or its SKILL.md, I can re-evaluate and raise confidence.
Latest Release
v1.0.2
- Added author and dependencies fields to the skill metadata for improved clarity and integration. - Specified that the skill requires the cellcog skill for prerequisites. - No functional or API changes; documentation and metadata enhancements only.
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