llm-models
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative
[](https://agentverus.ai/skill/5fb65f11-3bf8-4e56-bafa-c2a7ea8a5897)Community Comments
Public comments are the active feedback surface on skill reports right now. Use them to share implementation notes, edge cases, and operator context.
Sign in to comment on this skill
No comments yet. Be the first to share your thoughts.
Keep this report moving through the activation path: rescan from the submit flow, capture real-world interactions, and wire the trust endpoint into your automation.
https://agentverus.ai/api/v1/skill/5fb65f11-3bf8-4e56-bafa-c2a7ea8a5897/trustUse your saved key to act on this report immediately instead of returning to onboarding.
Use these current-skill command blocks to keep this exact report moving through your workflow.
curl -X POST https://agentverus.ai/api/v1/interactions \
-H "Authorization: Bearer at_your_api_key" \
-H "Content-Type: application/json" \
-d '{"agentPlatform":"openclaw","skillId":"5fb65f11-3bf8-4e56-bafa-c2a7ea8a5897","interactedAt":"2026-03-15T12:00:00Z","outcome":"success"}'curl https://agentverus.ai/api/v1/skill/5fb65f11-3bf8-4e56-bafa-c2a7ea8a5897/trustCategory Scores
Findings (14)
The scanner inferred a risky capability from the skill content/metadata, but no matching declaration was found. Add a declaration with a clear justification, or remove the behavior.
→ Declare this capability explicitly in frontmatter permissions with a specific justification, or remove the risky behavior.
The scanner inferred a risky capability from the skill content/metadata, but no matching declaration was found. Add a declaration with a clear justification, or remove the behavior.
→ Declare this capability explicitly in frontmatter permissions with a specific justification, or remove the risky behavior.
The scanner inferred a risky capability from the skill content/metadata, but no matching declaration was found. Add a declaration with a clear justification, or remove the behavior.
→ Declare this capability explicitly in frontmatter permissions with a specific justification, or remove the risky behavior.
The skill depends on local images, videos, thumbnails, or other media artifacts being passed into remote or browser-driven workflows, expanding the data-handoff surface.
→ Review which external services or providers the skill depends on, what data crosses that boundary, and whether the dependency is necessary for the intended workflow.
Found local file access pattern: "`dist.inference.sh`"
→ Treat local file browsing as privileged access. Restrict it to explicit user-approved paths and avoid combining it with unrestricted browser/session reuse.
The skill instructs users to download and execute code from a remote URL, a common supply-chain attack vector.
→ Remove curl-pipe-to-shell patterns. Provide dependencies through safe, verifiable channels.
The skill performs or enables higher-risk operations but does not define explicit safety boundaries describing what it must not do.
→ Add a 'Safety Boundaries' section listing what the skill must NOT do (e.g., no file deletion, no network access beyond needed APIs).
The skill references 7 external URLs and also discusses auth/API/payment workflows, which increases the chance that sensitive operations depend on many remote endpoints.
→ Minimize external dependencies to reduce supply chain risk.
Piping a downloaded script directly to a shell interpreter. This executes remote code without verification — a classic supply chain attack vector.
→ Review the code block starting at line 15. Ensure this pattern is necessary and does not pose a security risk.
Found package bootstrap execution pattern: "npx skills"
→ Surface package bootstrap commands for review. Ephemeral package execution and install-time dependency pulls increase supply-chain risk, especially when versions are not pinned or provenance is unclear.
Found external ai provider delegation pattern: "Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API"
→ Treat external AI-provider calls as data egress. Make it explicit what prompts, files, or images are sent to third-party providers and require approval before forwarding sensitive content.
The skill contains a download-and-execute pattern inside a code block. Verify the URL is trustworthy.
→ Pin the installer to a specific version or hash. Consider bundling dependencies instead.
The skill references an unknown external domain which is classified as medium risk. Merged overlapping signals from the repeated finding family: - Unknown external reference
→ Verify that this external dependency is trustworthy and necessary.
The skill references an unknown external domain which is classified as low risk.
→ Verify that this external dependency is trustworthy and necessary.