Skill flagged — suspicious patterns detected
ClawHub Security flagged this skill as suspicious. Review the scan results before using.
Ima All Ai
v1.4.0Most comprehensive AI content creation platform with unified access to all leading models across images (KIE Nano Banana 2 via KIE API), videos (Wan 2.6, Kli...
⭐ 0· 80·0 current·0 all-time
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Suspicious
medium confidencePurpose & Capability
The skill claims unified image/video/music/TTS access and requires KIE_API_KEY and IMA_API_KEY, which aligns with the code calling KIE (api.kie.ai) for images and IMA (api.imastudio.com / imapi.liveme.com) for video/music/TTS. However there are metadata inconsistencies (registry owner ID/version differ from _meta.json; README repo host typos like 'imastuido' vs 'imastudio') that could indicate sloppy packaging or an incorrect upstream reference.
Instruction Scope
Runtime instructions and code do more than simple API calls: they upload local files to a CDN (expected for media), optionally read another skill's reference files (~/.openclaw/skills/ima-knowledge-ai/references/*), and the script probes a local TCP port (127.0.0.1:8787) to detect a callback server. The SKILL.md does not declare the KIE_CALLBACK_URL env var the code may use. Optional cross-skill reads and local port probing expand the attack surface and should be acknowledged by the user.
Install Mechanism
No install spec; it's instruction-first with two Python scripts and a minimal requirements.txt (requests). That is lower-risk than arbitrary downloads or extract/install steps.
Credentials
Declared required envs (KIE_API_KEY, IMA_API_KEY) are appropriate for the described APIs. Minor mismatches: SKILL.md marks KIE_API_KEY as primaryCredential while registry metadata earlier showed none. The code also reads environment variables not declared in requires.env (e.g., IMA_CONSOLE_LOG_LEVEL for logging, and possibly KIE_CALLBACK_URL). Those undeclared env uses should be confirmed before granting keys.
Persistence & Privilege
The skill writes preferences and logs under ~/.openclaw (declared in SKILL.md). 'always' is false (normal). The optional permission to read another skill's reference files is explicit but increases scope: it can access content under ~/.openclaw/skills/ima-knowledge-ai/references/* if that skill is installed.
What to consider before installing
What to check before installing:
- Confirm origin and owner: metadata and README contain mismatched owner IDs/versions and repo name typos ("imastuido" vs "imastudio"); verify the publisher and source (prefer an official repo/homepage) before trusting keys.
- Understand network endpoints: the code contacts api.imastudio.com, imapi.liveme.com, and api.kie.ai and performs presigned uploads to CDN hosts (aliyuncs/esxscloud). If you don't trust those domains, do not provide real API keys.
- Provide minimal privileges: if possible use scoped or expendable API keys for KIE_API_KEY and IMA_API_KEY while testing. Avoid using high-privilege production keys until reviewed.
- Note local probing & cross-skill reads: the script checks localhost:8787 (callback server) and can optionally read another skill's reference files; ensure you are comfortable with that behavior.
- Check undeclared envs: the script may use KIE_CALLBACK_URL and IMA_CONSOLE_LOG_LEVEL even though they were not required in the manifest—review/set them as needed.
- Review code locally or run in an isolated environment first: the package is small (Python scripts); inspect the full ima_create.py for any additional endpoints or unexpected behavior, and test with dummy keys.
- If you need higher assurance, ask the publisher for an official homepage/repo URL and a reproducible release (signed or on an official GitHub account) and for clarification about metadata mismatches.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
EnvKIE_API_KEY, IMA_API_KEY
