verging-ai-chat
Generate GPT-4o Chat Responses
Teams need a quick way to call GPT-4o through the verging.ai API. This skill documents authenticated requests, streaming responses, and token usage.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "verging-ai-chat" from https://skillstore.io/skills/verging-ai-chat.md and its manifest at https://skillstore.io/api/skills/verging-ai-chat/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.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "verging-ai-chat". Ask for a non-streaming chat completion that explains a technical topic.
Expected outcome:
A concise request plan with the endpoint, authorization requirement, message structure, and generation parameters.
Using "verging-ai-chat". Ask how to stream a response for a chat interface.
Expected outcome:
A streaming plan that explains Server-Sent Events, content chunks, usage reporting, and completion handling.
Using "verging-ai-chat". Ask how to prepare for credit and rate limit failures.
Expected outcome:
A troubleshooting guide that maps credit, rate limit, and upstream errors to practical next actions.
Security Audit
Medium RiskI confirmed the API endpoint and cURL network findings because the skill sends prompts to verging.ai, an external service. The API-key detections are placeholders or environment-variable references, not embedded credentials. The Ruby and shell backtick findings are markdown code fences and inline code, not executable logic or prompt injection.
Confirmed security concerns (1)
Capability review items (5)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Risk Factors
🌐 Network access (6)
🔑 Env variables (3)
⚙️ External commands (20)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/verging-ai-chat/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/verging-ai-chat?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/verging-ai-chat/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/verging-ai-chat.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
verging-ai. (2026). verging-ai-chat security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/verging-ai-chat/audits/5BibTeX citation
@techreport{verging-ai-verging-ai-chat-2026,
author = {verging-ai},
title = {verging-ai-chat security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/verging-ai-chat/audits/5},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "verging-ai-chat security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "verging-ai"
date-released: "2026-07-07"
url: "https://skillstore.io/skills/verging-ai-chat/audits/5"
identifiers:
- type: other
value: "skillstore:verging-ai-chat:audit:5"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: MediumWhat You Can Build
Prototype Chat API Calls
Create a first verging.ai chat request with required headers, messages, and generation settings.
Add Streaming UX
Understand how to request Server-Sent Events and process streamed response chunks.
Estimate Usage and Errors
Review credit rules, token usage, and common API error responses before launch.
Try These Prompts
Use this skill to prepare a non-streaming verging.ai chat request for: [task]. Include authentication and required message fields.
Show me how to request a streaming GPT-4o response with verging.ai. Explain how chunks and the final event are handled.
Build a verging.ai chat request for [use case] with temperature and max token recommendations. Explain the tradeoffs.
Plan a production integration that uses verging.ai chat completions. Include auth, rate limits, credits, retries, and sensitive data controls.
Best Practices
- Store the verging.ai API key in an environment variable or secret manager.
- Review prompts for sensitive data before sending them to the external API.
- Set temperature and max token values intentionally for each workflow.
Avoid
- Do not paste real API keys into prompts, source files, or shared transcripts.
- Do not send regulated or private data without approval for third-party processing.
- Do not assume streaming responses include final usage data until the final event arrives.
Frequently Asked Questions
Does this skill run a local model?
What credentials are required?
Can it stream responses?
What data leaves my environment?
Does it include an SDK?
Which tools can use it?
Developer Details
Author
verging-aiLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
36e07d5e13068e5be64447e8f20b427cf2cbd21a
Maintenance freshness
7/18/2026
Usage
3 downloads · 0 views