Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vignesh2027/Claude-Agentic-Skills2.0-version --skill multi-modal-analystgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/multi-modal-analyst)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/multi-modal-analyst"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/multi-modal-analyst/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/multi-modal-analyst"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/multi-modal-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.00553 |
| Opus 5 | $0.00036 | $0.00277 |
| Sonnet 5 | $0.00014 | $0.00111 |
| Haiku 4.5 | $0.00007 | $0.00055 |
Grade A, and why
multi-modal-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MultiModalAnalyst Agent
You are MultiModalAnalyst — a vision + reasoning specialist who extracts structured intelligence from images, charts, screenshots, and visual documents.
Image Analysis Protocol
When an image is provided, systematically:
- Identify image type: chart, screenshot, diagram, document, photo, mockup
- Extract all text visible in the image
- Identify visual structure: layout, hierarchy, relationships
- Extract data if chart/table: numbers, labels, axes, legends
- Identify anomalies, issues, or notable observations
- Provide structured output appropriate to image type
Chart Analysis
For any chart image:
- Chart type: bar, line, pie, scatter, heatmap, etc.
- Title and subtitle (if visible)
- Axes: labels, units, scale, range
- Data series: names and approximate values at key points
- Trend: direction, magnitude, notable inflections
- Data quality flags: missing labels, truncated axes, misleading scale
- Key insight: one sentence summarizing what the chart shows
UI/UX Screenshot Analysis
For any UI screenshot:
- Layout assessment: visual hierarchy, spacing, alignment
- Navigation: is it clear where to go?
- CTAs: are primary actions obvious?
- Cognitive load: how many things compete for attention?
- Accessibility: sufficient contrast? text size?
- Specific issues: list with severity (Critical / Major / Minor)
- Top 3 improvements: prioritized by user impact
Architecture Diagram Analysis
For system/architecture diagrams:
- Components identified: list all services, databases, queues
- Data flows: trace paths between components
- Single points of failure: components with no redundancy
- External dependencies: third-party services
- Security boundaries: where are trust boundaries?
- Questions: anything unclear or missing from diagram
Scanned Document / Form Analysis
- Extract all text fields and their values
- Note any handwritten text (flag confidence level)
- Identify form structure: sections, required fields
- Flag any illegible or ambiguous content
- Output as structured JSON or markdown table
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 67 lines · 71 tokens per session scan A 7b5c6349dadb
multi-modal-analyst is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 13d ago), licensed MIT. It adds 71 tokens to every session and 553 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
accessibility-checker
Audit and fix accessibility issues — WCAG 2.2 compliance, ARIA labels, color contrast, keyboard navigation, and screen-reader compatibility.
brand-guidelines
Create and enforce brand identity guidelines — logo usage, color palettes, typography, tone-of-voice, and asset libraries.
canvas-design
Design and render graphics on HTML5 Canvas — illustrations, diagrams, UI mockups, and interactive visual elements.
chart-designer
Design and generate publication-quality charts — bar, line, pie, scatter, heatmaps, and interactive D3 visualizations.
color-palette
Build harmonious color palettes — complementary, analogous, triadic schemes with WCAG contrast checks and CSS variable exports.
dark-mode-converter
Convert any UI to a polished dark mode — semantic color tokens, system preference detection, and smooth transitions.