routerbase-api-integration
75Integrate RouterBase APIs
Teams need clear steps to move OpenAI-compatible code to RouterBase. This skill provides endpoint, authentication, SDK, streaming, and validation guidance.
Build RouterBase Media Workflows
Media API integrations require endpoint, model, and async handling choices. This skill guides RouterBase image, video, audio, and speech workflows with examples and production guardrails.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "routerbase-media-generation" from https://skillstore.io/skills/zenlee123-routerbase-media-generation.md and its manifest at https://skillstore.io/api/skills/zenlee123-routerbase-media-generation/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "routerbase-media-generation". I need image generation for product mockups.
Expected outcome:
The skill recommends the RouterBase image generation endpoint, a verified image model ID, required prompt fields, optional aspect and resolution settings, and file storage before retention expiry.
Using "routerbase-media-generation". I need short videos from text prompts.
Expected outcome:
The skill outlines a video task flow with an initial creation request, saved task ID, polling with backoff, terminal status handling, and persisted result URLs.
Using "routerbase-media-generation". I want to add text-to-speech to an app.
Expected outcome:
The skill identifies the speech endpoint, credential requirements, model verification, output storage needs, and places where user prompts or private data need policy review.
The static findings are documentation examples for RouterBase endpoints, placeholder API-key usage, Markdown code fences, and a visible fetch example. I found no evidence of prompt injection, secret exfiltration, dynamic command execution, or unrelated network behavior in SKILL.md or references/routerbase-media.md.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/zenlee123-routerbase-media-generation/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/zenlee123-routerbase-media-generation?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/zenlee123-routerbase-media-generation?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/zenlee123-routerbase-media-generation/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/zenlee123-routerbase-media-generation.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>zenlee123. (2026). routerbase-media-generation security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/zenlee123-routerbase-media-generation/audits/2@techreport{zenlee123-zenlee123-routerbase-media-generation-2026,
author = {zenlee123},
title = {routerbase-media-generation security audit report (audit version 2)},
institution = {Skillstore},
year = {2026},
number = {2},
url = {https://skillstore.io/skills/zenlee123-routerbase-media-generation/audits/2},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "routerbase-media-generation security audit report (audit version 2)"
version: "unspecified"
type: report
authors:
- name: "zenlee123"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/zenlee123-routerbase-media-generation/audits/2"
identifiers:
- type: other
value: "skillstore:zenlee123-routerbase-media-generation:audit:2"
description: "Skillstore immutable audit report identifier"
Create first-pass RouterBase image, video, or audio request flows with endpoint and parameter guidance.
Plan polling, callbacks, task storage, retries, and user-visible progress for video or audio generation.
Produce clear team guidance for model selection, media retention, credential handling, and request validation.
Use this skill to choose the RouterBase endpoint for an image, video, speech, or audio workflow. Include required fields and sync behavior.
Use this skill to draft a RouterBase image generation request for my app. Include model verification notes, parameters, and storage guidance.
Use this skill to design an async RouterBase video or audio workflow. Include task persistence, polling backoff, callback options, timeout behavior, and result storage.
Use this skill to review my RouterBase media integration plan. Check endpoint choice, model fields, credential handling, logging risks, retention handling, and user-facing failure states.
Author
zenlee123License
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/zenlee123/routerbase-agent-skills/tree/main/skills/routerbase-media-generationRef
6dab19906b1e4121c46ce2353d0b5a559b20657c
Maintenance freshness
7/18/2026
Usage
1 downloads ยท 0 views
File structure
Integrate RouterBase APIs
Teams need clear steps to move OpenAI-compatible code to RouterBase. This skill provides endpoint, authentication, SDK, streaming, and validation guidance.
Plan RouterBase Model Routing
Teams need current model choices without chasing changing provider catalogs. This skill turns RouterBase catalog checks into routing plans with fallbacks, validation steps, and cost notes.
Create AI Videos with Inference.sh Models
by halt-catch-fire
Teams need fast ways to turn prompts, images, and audio into video assets. This skill provides model choices and CLI examples for inference.sh video workflows.
Automate RunComfy Model Jobs
by agentspace-so
Running remote media models from scripts requires careful authentication, inputs, polling, and downloads. This skill provides practical RunComfy CLI workflows for those tasks.
Run AI Apps with the inference.sh CLI
by inferen-sh
Using many hosted AI models from a terminal requires different app names, inputs, and task flows. This skill provides focused inference.sh CLI guidance.
Create and Automate Media with Wonda CLI
by degausai
Terminal agents need one workflow for media creation and social operations. This skill provides Wonda CLI guidance for generation, editing, publishing, research, and automation.
Run AI Apps with inference.sh
by inference-sh
AI model workflows often require separate APIs, credentials, and task tracking. This skill helps Claude, Codex, and Claude Code use inference.sh CLI workflows.
Run Hosted AI Apps from Your Agent
by infsh-skills
Managing hosted AI models often requires different APIs and workflows. This skill uses the inference.sh belt CLI to discover, run, and track cloud AI apps.