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 dork-labs/dorkos --skill visual-companiongit clone --depth 1 https://github.com/dork-labs/dorkosWrote 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/dork-labs/dorkos/visual-companion)<a href="https://agentmods.dev/skills/dork-labs/dorkos/visual-companion"><img src="https://agentmods.dev/badge/skills/dork-labs/dorkos/visual-companion/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/dork-labs/dorkos/visual-companion"><img src="https://agentmods.dev/badge/skills/dork-labs/dorkos/visual-companion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.03147 |
| Opus 5 | $0.00018 | $0.01573 |
| Sonnet 5 | $0.00007 | $0.00629 |
| Haiku 4.5 | $0.00004 | $0.00315 |
Grade A, and why
visual-companion 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 9d 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 — 320 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Companion
Browser-based visual companion for rendering mockups, diagrams, and interactive options. The server watches a directory for HTML files and serves the newest one to the browser. You write HTML content, the user sees it in their browser and can click to select options.
When to Use
Decide per-question, not per-session. The test: would the user understand this better by seeing it than reading it?
Use the browser when the content itself is visual:
- UI mockups -- wireframes, layouts, navigation structures, component designs
- Architecture diagrams -- system components, data flow, relationship maps
- Side-by-side visual comparisons -- comparing two layouts, two color schemes, two design directions
- Design polish -- when the question is about look and feel, spacing, visual hierarchy
- Spatial relationships -- state machines, flowcharts, entity relationships rendered as diagrams
Use the terminal when the content is text or tabular:
- Requirements and scope questions -- "what does X mean?", "which features are in scope?"
- Conceptual A/B/C choices -- picking between approaches described in words
- Tradeoff lists -- pros/cons, comparison tables
- Technical decisions -- API design, data modeling, architectural approach selection
- Clarifying questions -- anything where the answer is words, not a visual preference
A question about a UI topic is not automatically a visual question. "What kind of wizard do you want?" is conceptual -- use the terminal. "Which of these wizard layouts feels right?" is visual -- use the browser.
How It Works
The server watches a directory for HTML files and serves the newest one to the browser. You write HTML content to screen_dir, the user sees it in their browser and can click to select options. Selections are recorded to state_dir/events as JSONL that you read on your next turn.
Content fragments vs full documents: If your HTML file starts with <!DOCTYPE or <html, the server serves it as-is (injecting the helper script). Otherwise, the server automatically wraps your content in the frame template -- adding the header, CSS theme, selection indicator, and all interactive infrastructure. Write content fragments by default. Only write full documents when you need complete control over the page.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 320 lines · 36 tokens per session scan A 6c914b29b73e
visual-companion is a skill published in the GitHub repository dork-labs/dorkos (9 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 3,147 once invoked, about $0.0002 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 2026-08-31.
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