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 UCSC-VLAA/VisualClaw --skill visual-detail-matchinggit clone --depth 1 https://github.com/UCSC-VLAA/VisualClawWrote 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/ucsc-vlaa/visualclaw/visual-detail-matching)<a href="https://agentmods.dev/skills/ucsc-vlaa/visualclaw/visual-detail-matching"><img src="https://agentmods.dev/badge/skills/ucsc-vlaa/visualclaw/visual-detail-matching/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/ucsc-vlaa/visualclaw/visual-detail-matching"><img src="https://agentmods.dev/badge/skills/ucsc-vlaa/visualclaw/visual-detail-matching.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 | $0.00031 | $0.00261 |
| Opus 5 | $0.00015 | $0.00130 |
| Sonnet 5 | $0.00006 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
visual-detail-matching 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.
What it actually says
Match Visual Details Precisely Against Options
- Extract specific visual elements: Identify concrete details from images—object types, colors, materials, tools, locations (sink, floor, cup, etc.).
- Compare option-by-option: For each option, check if every stated detail appears in the visual evidence.
- Flag contradictions: Mark options that describe actions or objects NOT visible in the frames.
- Prioritize precision over plausibility: Choose based on what you see, not what sounds reasonable.
- Verify descriptive claims: If an option makes a judgment (e.g., "professional," "efficient," "gracefully"), check if the visual evidence supports that characterization.
Example: In the woodworker scenario, option (D) states "few adjustments"—this requires observing actual adjustment attempts in the frames. Option (A) or (C) may sound professional but lack visual support.
Anti-pattern: Selecting an answer because it uses professional language or sounds logical without confirming visual evidence supports every claim.
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 · 18 lines · 31 tokens per session scan A 5a4873c0a0ef
visual-detail-matching is a skill published in the GitHub repository UCSC-VLAA/VisualClaw (55 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 261 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 2026-08-30.
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