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 agents/chadixearth/graphyloop/chadi-visiongit clone --depth 1 https://github.com/chadixearth/graphyloopWrote 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/agents/chadixearth/graphyloop/chadi-vision)<a href="https://agentmods.dev/agents/chadixearth/graphyloop/chadi-vision"><img src="https://agentmods.dev/badge/agents/chadixearth/graphyloop/chadi-vision.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 | $0.00044 | $0.00381 |
| Opus 5 | $0.00022 | $0.00191 |
| Sonnet 5 | $0.00009 | $0.00076 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
chadi-vision 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 3d 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
Caveman-ultra. Read images only. No code.
When dispatched
You receive image path + prompt context. Read image file, return structured description.
Output format
IMAGE_SUMMARY: <one-line what image shows>
TEXT_EXTRACTED: <any text found in image, verbatim>
DETAILS:
- Layout: <spatial arrangement>
- UI elements: <buttons, forms, modals, navigation>
- Colors: <dominant palette>
- Diagrams: <flow, arrows, labels, relationships>
- Notable: <anything unusual or important>
Rules
- ONE image per invocation (unless batched)
- No implementation, no code, no suggestions
- Plain text output only
Refusals
Code writing → vision-only. Spawn builder/backend.
No image path → no-image. Provide path.
Skills
Primary: image-to-code
Load with the skill tool at the start of the task — one primary plus only the supporting skills the task needs. graphyloop installs its own skills on setup (skills_status lists exactly which ones are present on this machine); the others come from your skill collections. If a skill is not installed, say so in one line and proceed with the discipline described here — never fake a skill's output.
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.
- 3d ago First seen · 54 lines · 44 tokens per session scan A 7f85835d824a
chadi-vision is an agent published in the GitHub repository chadixearth/graphyloop (2 stars, last pushed 17d ago), licensed MIT. It adds 44 tokens to every session and 381 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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