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Text To Video By Canva
by
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
72
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0
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0
Active Installs
1
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Install in OpenClaw
/install text-to-video-by-canva
Description
Get text-based videos ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, copied text, up to 200MB), say something lik...
Usage Guidance
This skill will send your text and any uploaded files to a third-party backend (mega-api-prod.nemovideo.ai). Before installing: 1) Verify the publisher/source — the skill claims 'By Canva' but the API host is 'nemovideo.ai' and no homepage/source is provided. 2) Do not upload sensitive or private files unless you trust the service and its privacy terms. 3) Prefer creating a scoped, low-privilege NEMO_TOKEN (or review what the anonymous token grants) rather than supplying a long-lived credential. 4) Ask the publisher why the registry lists NEMO_TOKEN as required when the SKILL.md describes creating an anonymous token and why a config path (~/.config/nemovideo/) appears in metadata. 5) Consider refusing installation if provenance cannot be confirmed or if you cannot accept that the agent will transmit files and environment/installation metadata to the nemovideo.ai service.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-by-canva
Version: 1.0.0
The skill exhibits misleading branding by claiming to be an official Canva tool ('text-to-video-by-canva') while routing all data and API calls to an unrelated third-party domain (nemovideo.ai). While the instructions in SKILL.md are technically consistent with the stated purpose of AI video generation, the use of brand impersonation is a significant indicator of potential deception. It also instructs the agent to automatically generate and manage tokens from an external backend (mega-api-prod.nemovideo.ai) without clear affiliation to the impersonated brand.
Capability Assessment
Purpose & Capability
The skill is named 'Text To Video By Canva' but all runtime endpoints point to mega-api-prod.nemovideo.ai and there is no homepage or source provenance. The declared primary credential (NEMO_TOKEN) is consistent with the API, but the mismatch between the Canva branding and the actual API host plus missing publisher information is a red flag for origin/legitimacy. The SKILL.md metadata also lists a config path (~/.config/nemovideo/) even though the registry shows 'required config paths: none' — this inconsistency suggests sloppy or conflicting configuration.
Instruction Scope
Instructions will upload user-provided files (multipart upload or URL) and create sessions/tokens on a third-party backend; they instruct the agent to check NEMO_TOKEN and, if missing, obtain an anonymous token via an API call. The skill also specifies headers derived from the agent's install path (X-Skill-Platform), which could reveal environment/installation details. Overall the actions are consistent with a cloud-render service, but the instructions permit automatic token creation and reference local config paths — both broaden the agent's runtime behavior beyond a simple conversion tool.
Install Mechanism
No install specification or code files are present; this is instruction-only, which reduces disk-write risk. There is no download/extract/install of third-party binaries described.
Credentials
Only one environment variable (NEMO_TOKEN) is declared, which is appropriate for an API-backed service. However the SKILL.md states that if NEMO_TOKEN is missing the agent should obtain an 'anonymous' token by calling the API — yet the registry listed NEMO_TOKEN as required. That conflict (required vs optional) is incoherent. The metadata's config path (~/.config/nemovideo/) is also present in the SKILL.md, which could result in reading local configuration/config files not declared in the registry. The skill also requires inclusion of attribution headers that may leak install-path-derived info.
Persistence & Privilege
The skill is not set to always:true and uses default autonomous invocation settings (normal). There is no install-time persistent agent modification described. However, the skill's header rules (X-Skill-Platform derived from install path) could cause the agent to expose its installation path; this is a privacy consideration rather than a privilege escalation.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-by-canva - After installation, invoke the skill by name or use
/text-to-video-by-canva - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Text to Video by Canva, enabling users to convert text prompts (TXT, DOCX, PDF, or copied text, up to 200MB) into shareable 1080p MP4 videos with visuals and music.
- Automated setup process checks for environment tokens, creates sessions, and connects to the cloud backend with up to 100 free credits.
- Supports file upload, text prompt processing, video preview, export, and credit/status checking via clear API-driven actions.
- Integrated error handling and simple workflows for fast video generation without any filming or editing experience required.
- Optimized for marketers needing quick, post-ready social videos from their written content.
Metadata
Frequently Asked Questions
What is Text To Video By Canva?
Get text-based videos ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, copied text, up to 200MB), say something lik... It is an AI Agent Skill for Claude Code / OpenClaw, with 72 downloads so far.
How do I install Text To Video By Canva?
Run "/install text-to-video-by-canva" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video By Canva free?
Yes, Text To Video By Canva is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video By Canva support?
Text To Video By Canva is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video By Canva?
It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.
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