vision
Analyze Images with verging.ai Vision
Image review tasks need clear scene descriptions, object lists, and extracted text. This skill shows how to call the verging.ai GPT-4o Vision API with image URLs or file uploads.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "vision" from https://skillstore.io/skills/verging-ai-vision.md and its manifest at https://skillstore.io/api/skills/verging-ai-vision/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 "vision". Analyze a product photo for listing quality.
Expected outcome:
- Scene summary with the main product and background conditions.
- Visible defects or presentation issues that may affect the listing.
- Suggested follow-up prompt for a closer inspection.
Using "vision". Extract text from a photographed sign.
Expected outcome:
- Transcribed visible text with uncertain words marked for review.
- Short note about blur, glare, or cropped areas that affect confidence.
Using "vision". Review a dashboard screenshot against acceptance criteria.
Expected outcome:
- List of criteria that are visibly satisfied.
- List of missing or unclear elements.
- Concise summary for the development team.
Security Audit
Medium RiskMost static command-execution findings are false positives caused by Markdown fences and inline code, and the key findings are placeholder or environment-variable examples. Confirmed risk remains external network use: the skill sends prompts, image URLs, and uploaded files to verging.ai, so sensitive images require user consent and clear disclosure.
Confirmed security concerns (1)
Capability review items (6)
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 (9)
🔑 Env variables (3)
⚙️ External commands (19)
Share & cite this report
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https://skillstore.io/skills/verging-ai-vision/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-vision?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/verging-ai-vision/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/verging-ai-vision.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). vision security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/verging-ai-vision/audits/5BibTeX citation
@techreport{verging-ai-verging-ai-vision-2026,
author = {verging-ai},
title = {vision security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/verging-ai-vision/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: "vision 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-vision/audits/5"
identifiers:
- type: other
value: "skillstore:verging-ai-vision:audit:5"
description: "Skillstore immutable audit report identifier"
Compare variants
3 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
0xsero-vision
2026-08-21
verging-ai-vision
2026-08-21
kotot-vision
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Review Product Images
Analyze screenshots or product photos and summarize visible issues for triage.
Prototype Vision API Calls
Test image URL and file upload requests before adding vision analysis to an application.
Describe Visual Assets
Generate image descriptions and extract visible text for catalog and asset workflows.
Try These Prompts
Use the vision skill to analyze this image URL: [URL]. Ask for a concise scene description and list the main objects.
Use file upload mode for [FILE]. Ask the model to transcribe visible text and note any uncertain words.
Analyze [IMAGE_URL] against these acceptance criteria: [CRITERIA]. Return matching items, missing items, and visible defects.
Create a test plan for verging.ai vision calls using URL and file upload modes. Include prompts, expected response checks, credit checks, and error handling.
Best Practices
- Store the API key in an environment variable or secret manager.
- Confirm users have permission to send each image to external processing.
- Start with smaller max_tokens values and increase only when needed.
Avoid
- Sending private identity documents, medical images, or customer photos without approval.
- Treating generated visual analysis as verified ground truth without human review.
- Logging API keys, signed image URLs, or sensitive uploaded file names.
Frequently Asked Questions
Does this skill run a local vision model?
What credentials are required?
Can it analyze local image files?
Can it analyze image URLs?
Is it appropriate for confidential images?
Does the skill document data retention?
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
11 downloads · 0 views