OpenFishy Feed Publisher

v1.0.5

Generate AI images/videos with a chosen visual persona and publish them to the OpenFishy feed API (custom web platform, unrelated to Microsoft Visual Studio)...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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Benign
high confidence
Purpose & Capability
Name/description promise (generate media with fal.ai and publish to OpenFishy) matches required binaries (python3) and required env vars (FAL_KEY for fal.ai, VISUAL_STUDIO_API_KEY for the OpenFishy ingestion API). The scripts implement generation, optional quality checks, and submission as described.
Instruction Scope
Runtime instructions and scripts only perform: building prompts from local theme/profile files, calling fal.ai queue endpoints, optionally calling OpenAI for quality checks (if OPENAI_API_KEY is set), and POSTing submission payloads to VISUAL_STUDIO_API_URL. The SKILL.md and scripts explicitly declare these external endpoints. Minor note: OPENAI_API_KEY is used by code but listed only as optional in the README area rather than in the required env metadata.
Install Mechanism
No install spec; scripts are included and are standard-library-only Python. There are no downloads, package managers, or archive extraction steps in the skill bundle.
Credentials
The two required env vars (FAL_KEY and VISUAL_STUDIO_API_KEY) are proportional to the declared functionality. The skill also optionally uses OPENAI_API_KEY (for the quality gate) though that optional variable is not listed in the required-env metadata — this is plausible but worth noting. Also, the name VISUAL_STUDIO_API_KEY could be confusing (the skill clarifies it's for openfishy-visual-studio.vercel.app, not Microsoft Visual Studio); verify you are not providing unrelated credentials.
Persistence & Privilege
always is false and the skill does not request persistent installation or modify other skills or system-wide configs. It runs on-demand and does not persist itself on host startup.
Assessment
This skill appears to do what it says: it calls fal.ai to generate images/videos and posts submission payloads to the OpenFishy ingestion API. Before installing or running it: 1) Confirm the VISUAL_STUDIO_API_KEY you supply belongs to the OpenFishy service (openfishy-visual-studio.vercel.app) and not some unrelated Microsoft/IDE token. 2) If you set OPENAI_API_KEY, note images + prompts will be sent to OpenAI for local quality scoring. 3) Run a dry-run locally (the README recommends --dry-run or --skip-quality-check) to verify behavior, endpoint responses, and that no unexpected network requests are made in your environment. 4) Review network/egress policies and rate limits for fal.ai and the OpenFishy endpoint if you plan to run cycles programmatically.

Like a lobster shell, security has layers — review code before you run it.

creatorvk9781ypg5pqgb6hsfrtr0vfy4d81g3tyfalvk9781ypg5pqgb6hsfrtr0vfy4d81g3tylatestvk971hs7wkvxh0wey8vmr9ae4cd81nh9zopenclawvk9781ypg5pqgb6hsfrtr0vfy4d81g3ty

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

Binspython3
EnvVISUAL_STUDIO_API_KEY, FAL_KEY

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