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 agentmods add skills/scy7796/visionsieve-mcp/codexnpx skills add scy7796/visionsieve-mcp --skill codexgit clone --depth 1 https://github.com/scy7796/visionsieve-mcpWrote 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/scy7796/visionsieve-mcp/codex)<a href="https://agentmods.dev/skills/scy7796/visionsieve-mcp/codex"><img src="https://agentmods.dev/badge/skills/scy7796/visionsieve-mcp/codex.svg" alt="Measured on agentmods" 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 | $0.00059 | $0.00279 |
| Opus 5 | $0.00030 | $0.00139 |
| Sonnet 5 | $0.00012 | $0.00056 |
| Haiku 4.5 | $0.00006 | $0.00028 |
Grade A, and why
visual-evidence-gateway 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 5d 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
Visual Evidence Gateway gate
Use vision.inspect only when the answer depends on information that cannot be
reliably obtained from text, source code, logs, DOM, SVG, or structured data.
Do not infer image contents from filenames.
Required triggers:
- the user asks about an image or screenshot;
- visible UI state or layout is material;
- image-only text must be read;
- a chart or diagram itself is evidence;
- visual before/after verification is required.
Do not trigger:
- an image merely exists in the repository;
- equivalent text or structured data is available;
- the task is code-only;
- no readable image path exists.
Use:
rigor=normalfor ordinary inspection;rigor=criticalfor final acceptance or material numeric conclusions;rigor=cheapfor bulk coarse screening.
Do not request a specific backend. Do not call the tool repeatedly with the same image and question. Do not claim visual verification if the tool returns partial or failed.
What ships with it
1 file 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.
- 5d ago First seen · 38 lines · 59 tokens per session scan A 108b543f0c67
visual-evidence-gateway is a skill published in the GitHub repository scy7796/visionsieve-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 279 once invoked, about $0.0003 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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