空间改造焕新视频

Generate vertical home makeover shorts (WeryAI): rental cream aesthetic, balcony café corner, themed kids’ rooms, strong before/after. Use when you need room...

Security Scan

The skill's code, runtime instructions, and required credential (WERYAI_API_KEY) are consistent with a video-generation helper for WeryAI; nothing requested appears disproportionate to its stated purpose, though local-file upload behavior requires user consent and care with the API key and credits.

Purpose & Capability

Name/description match the included artifacts: a Node.js CLI (scripts/video_gen.js), a WeryAI API doc, and SKILL.md. Required binary (node) and required env var (WERYAI_API_KEY) are appropriate and expected for a script that calls WeryAI.

Instruction Scope

SKILL.md constrains behavior (mandatory prompt expansion, confirmation before submit) and explicitly warns about local-image uploads. The bundled script will read local image files and POST them to WeryAI to obtain public URLs if callers pass local paths—this is documented, but it means the agent or user must explicitly consent before supplying local paths. The instructions otherwise do not attempt to read unrelated files or environment variables.

Install Mechanism

No install spec (instruction-only plus one included JS file). No third-party downloads or installers; the CLI is pure Node.js source bundled with the package, so nothing external is fetched at install time.

Credentials

Only WERYAI_API_KEY is required and declared as primaryEnv. That single credential is proportional to the skill's needs (API calls and optional local-file upload use the same key). Note: any use will consume WeryAI credits and the key has network access to the vendor endpoints.

Persistence & Privilege

Skill is not always-enabled (always:false) and uses normal agent invocation. It does not request modifications to other skills or system-wide settings.

Assessment

This package appears coherent for generating WeryAI videos, but take these precautions before enabling it: 1) Do NOT paste your WERYAI_API_KEY into the code or public repos—set it in the environment only. 2) Review scripts/video_gen.js yourself: it will upload local image files (if you pass local paths) to WeryAI using your API key—avoid giving local paths unless you explicitly consent and understand the upload. 3) Prefer public https image URLs to avoid uploads. 4) Test with --dry-run where possible and run first in an isolated account or container to limit billing/credential exposure. 5) Monitor usage/credits and ensure prompt-confirmation flows are followed so the agent doesn't submit unintended jobs.

Room makeover & refresh video generation

Three pillars:

• Before/after: worn or plain “before” vs. elevated “after” in one clip
• Process: staging, mood lighting, DIY decor—compressed on a rhythmic timeline
• Anthropomorphic cast: bunny / hamster / cat doing the work—more emotion and completion

One line: character + space + style → clip. Fits home / aesthetics / makeover feeds.

Dependencies: WERYAI_API_KEY + Node.js 18+. When you run the CLI, scripts/video_gen.js must exist; WERYAI_VIDEO_API.md must exist under resources/ (supply both via publish or pre-use assembly). Full commands and JSON fields: see resources/WERYAI_VIDEO_API.md. No other Cursor skills. Default parameters and model tiers are in the tables below; live API limits follow weryai models. Before installing or running, review the bundled video_gen.js to confirm it meets your requirements. Pay particular attention to how it handles local files if you choose to allow their usage, ensuring this behavior aligns with the skill's intended workflow for image-to-video requests.

Prerequisites

• WERYAI_API_KEY must be set in the environment before running video_gen.js.
• Node.js 18+ is required. Prefer public https image URLs. If the assembled scripts/video_gen.js supports local file paths, review and verify the script first, then get explicit consent before it reads a local image and uploads it to WeryAI to obtain a public URL.
• Each successful wait run consumes WeryAI credits; re-running creates new paid tasks.

Security, secrets, and API hosts

• WERYAI_API_KEY: Treat as a secret. Only configure it if you trust this skill's source; it is listed in OpenClaw metadata as requires.env / primaryEnv so installers know it is mandatory at runtime (never commit it inside the skill package).
• API hosts (fixed in video_gen.js): Video tasks use https://api.weryai.com; the models list uses https://api-growth-agent.weryai.com. Only WERYAI_API_KEY is read from the environment—do not rely on URL-related environment variables.
• Local image handling disclosure: Prefer public https image URLs. If the assembled scripts/video_gen.js supports local file paths, it may read a local image and upload it to WeryAI to obtain a public URL; require review / verification and explicit consent before using that path.
• Higher assurance: Run generation in a short-lived or isolated environment (separate account or container), and review scripts/video_gen.js (HTTPS submit + poll loop) before production use. Verify whether the runtime can read local image files and upload them to WeryAI, and obtain explicit consent before using that path.

Prompt expansion (mandatory)

video_gen.js does not expand prompts. Before every wait --json, turn the user's short or vague brief into a full English production prompt.

When: The user gives only keywords, one line, or loose intent—or asks for richer video language. Exception: They paste a finished long prompt within the model's prompt_length_limit and ask you not to rewrite; still show the full text in the confirmation table.

Always add (video language): shot scale and angle; camera move or lock-off; light quality and motivation; subject action paced to duration; one clear payoff for this niche; state 9:16 vertical when this skill defaults to vertical.

Length: Obey prompt_length_limit for the chosen model_key when this doc lists it; trim filler adjectives before removing core action, lens, or light clauses.

Confirmation: The pre-submit table must include the full expanded prompt (never a one-line summary). Wait for confirm or edits.

Niche checklist

• Space arc: before clutter or dull → paint/furniture/light after; wide establish → detail passes.
• Light: warm interior practicals; window rake optional; cozy or luxury tone per user.
• Payoff: readable layout transformation, not random decor jump cuts.

### Example prompts at the top of this file are short triggers only—always expand from the user's actual request.

Workflow

1. Confirm the user request matches this skill's scenario (text-to-video and/or image-to-video as documented).
2. Collect the user's brief, optional image URL(s), tier (best / good / fast) or an explicit model key.
3. Expand prompt (mandatory): Unless the user supplied a finished long prompt and explicitly asked not to rewrite it, expand the brief into a full English production prompt using ## Prompt expansion (mandatory) below. Do not call the API with only the user's minimal words.
4. Check the expanded prompt against the selected model's prompt_length_limit in the frozen tables in this document (when present); shorten if needed.
5. Verify duration, aspect_ratio, resolution, generate_audio, negative_prompt, and other fields against the frozen tables in this document and WERYAI_VIDEO_API.md.
6. Show the pre-submit parameter table including the full expanded prompt; wait for confirm or edits.
7. After confirmation, run node scripts/video_gen.js wait --json '...' with the expanded prompt.
8. Parse stdout JSON and return video URLs; on failure, surface errorCode / errorMessage and suggest parameter fixes.

CLI reference

node scripts/video_gen.js wait --json '{"model":"…","prompt":"…","duration":5,"aspect_ratio":"9:16"}'
node scripts/video_gen.js wait --json '…' --dry-run
node scripts/video_gen.js status --task-id <id>

Full reference: WERYAI_VIDEO_API.md.

Definition of done

Done when the user receives at least one playable video URL from the API response, or a clear failure explanation with next steps. All parameters used must fall within the selected model's allowed sets in this document. The submitted prompt must be the expanded production prompt unless the user explicitly supplied a finished long prompt and asked not to rewrite it.

Boundaries (out of scope)

• We do not review platform compliance, copyright, or likeness; we do not warrant commercial usability of outputs.
• We do not provide offline rendering outside WeryAI, traditional NLE projects, or API field combinations not documented in this SKILL or WERYAI_VIDEO_API.md.
• Do not link to weryai-model-capabilities.md or shared ../references/ paths; use resources/WERYAI_VIDEO_API.md for CLI/API details.
• Do not hard-code absolute paths in this doc; run from the skill package root (next to SKILL.md) so scripts/ and resources/ paths resolve.

Example prompts

• Shabby rental turned cream aesthetic by a hamster—rug, string lights, warm lights full on at end
• From this messy balcony: motion into a coffee corner
• Kids’ room: paint + star ceiling, big contrast but cozy
• Room makeover timelapse 9:16, cozy lighting reveal at end

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Default parameters

Field	Value
Model	KLING_V3_0_PRO
Aspect	9:16 (fixed, vertical short)
Duration	10 s (duration: 10, room for full process)
Audio	Off
Look	Medium or wide, natural + warm accent light; before cooler/darker, after warmer/brighter; time-lapse compression

API validity (default KLING_V3_0_PRO): Text-to-video: duration only 5 / 10 / 15, aspect_ratio only 9:16, 1:1, 16:9; image-to-video: aspect_ratio only 9:16, 16:9, 1:1; no resolution field—do not send. Fast VEO tier: text VEO_3_1_FAST, image CHATBOT_VEO_3_1_FAST, duration fixed 8, aspect_ratio only 9:16 or 16:9. For other model_key values, follow the allowed sets in this document and the API validity notes above; do not send unsupported fields such as resolution.

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Anthropomorphic room makeover

Animals “finish” a tired space overnight—the classic arc: enter messy room → busy montage → lights on, new room.

User provides:

• Character (bunny / hamster / cat / bear / custom)
• Space (rental bedroom / balcony / study / kids’ room / small shop / living nook)
• Target style (cream / cyberpunk / café corner / Nordic minimal / forest fairy / retro Hong Kong)

Flow:

1. Collect character, space, style—ask if any are missing

2. Build prompt in three beats: before dull & cluttered → character staging → lights-on reveal

3. If params unspecified, show defaults and wait for confirmation. Show all parameters in a table and wait for explicit user confirmation before submitting:

   📋 Ready to generate—please confirm:

   Field	This run	Notes
   model	KLING_V3_0_PRO	Best tier default; fast: text VEO_3_1_FAST, image CHATBOT_VEO_3_1_FAST (duration fixed 8); good → KLING_V3_0_STA; or specify a model name
   aspect_ratio	9:16	Default KLING: 9:16, 1:1, 16:9 only; if you switch model, check that row’s aspect_ratios etc.
   duration	10s	KLING family: 5 / 10 / 15; VEO fast: duration 8 only
   generate_audio	false	Auto-generate audio or not
   prompt	Full expanded English prompt (entire text for this run)	Revise before confirm
   seamless loop	off	Reply "loop" to add seamless loop

   Reply "confirm" to start, or list what to change.

4. After confirmation, in the terminal from the skill package root:

   node scripts/video_gen.js wait --json '{"model":"(confirmed model)","prompt":"(full English prompt)","aspect_ratio":"9:16","duration":10,"generate_audio":false}'
   

   aspect_ratio, duration, generate_audio, model must match the table; add resolution only if supported. Parse videos from stdout.

Parameters:

Field	Value
model	KLING_V3_0_PRO
aspect_ratio	9:16
duration	10
generate_audio	false

Sample prompt (bunny, rental, cream):

A small white bunny with oversized ears begins transforming a dull, cluttered rental apartment bedroom, medium wide shot shows peeling walls and mismatched cheap furniture, the bunny hangs linen curtains, places cream-colored cushions, adds dried pampas grass in a ceramic vase, time-lapse with warm evening light slowly shifting, final reveal: the same room now glows in a soft cream-beige aesthetic with warm Edison bulb string lights overhead, low-angle medium shot shows the complete transformation, diffused golden light, cozy hygge atmosphere, paint texture walls, before-after contrast dramatic

Sample prompt (hamster, study, cyber):

A tiny hamster in overalls transforms a bare study corner into a cyberpunk workspace, medium shot follows the hamster mounting LED strip lights in cyan and purple, placing holographic desk accessories, hanging circuit board art prints, time-lapse compression of the assembly process, dramatic before-after cut: sterile white room transitions to neon-lit cyberpunk den, wide establishing shot captures the full room with light reflections on all surfaces, dark dramatic void background outside window, Dutch angle for final reveal, high contrast neon against deep shadow

Sample prompt (cat, old balcony → café):

A gray cat with white gloves methodically converts a neglected dusty balcony into a cozy café corner, overhead wide shot starts with cracked tiles and dead plants, cat places small round table with mosaic top, installs string fairy lights along the railing, arranges potted herbs in terracotta planters, golden hour time-lapse as the sun sets, final reveal at dusk: the balcony warmly lit with fairy lights, espresso machine on the table, trailing ivy across the wall, warm amber light, wide-to-close dolly movement revealing the full transformation

Expected outcome: Strong before/after; clear rhythm peak at lights-on; color temp cold→warm for emotional arc—fits home / lifestyle accounts.

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Space-only before/after (no character)

More “real” makeover: camera on the room only—good when the result itself is the star.

User provides:

• Before state (worn / cluttered / mixed style / dated finish)
• After target (specific style + key pieces)
• Focus (lighting change / staging / layout / detail macro)

Flow:

1. Collect before/after descriptions

2. Build prompt stressing light shift, palette change, macro beats on key decor

3. After confirmation, from the skill package root:

   node scripts/video_gen.js wait --json '{"model":"KLING_V3_0_PRO","prompt":"(full English prompt)","aspect_ratio":"9:16","duration":10,"generate_audio":false}'
   

   Fields match the table; parse stdout for URLs.

Parameters:

Field	Value
model	KLING_V3_0_PRO
aspect_ratio	9:16
duration	10
generate_audio	false

Sample prompt (low-budget rental glow-up):

Wide establishing shot of a low-budget rental room transformation, left half of the frame shows original water-stained walls, plastic furniture, fluorescent lighting, the right half reveals the same space after makeover with white paint, thrifted wooden shelf, warm LED strip lights, fabric headboard, time-lapse renovation progress fills the center, final wide shot shows the complete after: cozy Scandinavian-minimalist aesthetic on zero budget, warm 3000K ambient lighting, slight aerial perspective

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Usage tips

Style precision: Cream → cream-beige aesthetic, warm Edison bulb; cyber → neon cyan and purple, dark dramatic void; café corner → mosaic table, terracotta, fairy lights, trailing ivy. More specific style tokens reduce drift.

Time span: Add time-lapse compression and golden hour light slowly shifting so 10 s reads like “one night” of work.

Reveal peak: Use before-after contrast dramatic or reveal moment so the model knows there’s a single dramatic turn—usually lights-on.