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 Dqz00116/skill-lib --skill kimicode-vision-bridgegit clone --depth 1 https://github.com/Dqz00116/skill-libWrote 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/dqz00116/skill-lib/kimicode-vision-bridge)<a href="https://agentmods.dev/skills/dqz00116/skill-lib/kimicode-vision-bridge"><img src="https://agentmods.dev/badge/skills/dqz00116/skill-lib/kimicode-vision-bridge/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/dqz00116/skill-lib/kimicode-vision-bridge"><img src="https://agentmods.dev/badge/skills/dqz00116/skill-lib/kimicode-vision-bridge.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 | $0.00043 | $0.02053 |
| Opus 5 | $0.00022 | $0.01026 |
| Sonnet 5 | $0.00009 | $0.00411 |
| Haiku 4.5 | $0.00004 | $0.00205 |
Grade A, and why
kimicode-vision-bridge 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KimiCode Vision Bridge
Overview
Routes images through KimiCode CLI's print mode (kimi --print) to give a non-vision Agent LLM visual understanding. Kimi is a multimodal model; print mode provides a non-interactive, programmatic pipe — the Agent submits an image + question via CLI, Kimi returns a text description on stdout.
Agent (no vision) KimiCode CLI Kimi multimodal model
│ │ │
│ image + question │ │
├───────────────────────────────→│ │
│ kimi --print -p "..." │ │
│ ├─────────────────────────────→│
│ │ API call with image │
│ │←─────────────────────────────┤
│ │ text response │
│←───────────────────────────────┤ │
│ text on stdout │ │
▼ ▼ ▼
Print mode docs: https://www.kimi-cli.com/en/customization/print-mode.html
When to Use
Use this skill when:
- The current Agent LLM cannot process images directly (no vision capability)
- An image needs to be read or analyzed — screenshots, photos, diagrams, charts, document scans, UI mockups
- KimiCode CLI is installed and configured with a vision-capable model on the system
Do NOT use when:
- The Agent already has native image input — this skill adds an unnecessary hop
- The task is pure text analysis with no visual component
- KimiCode is not installed or lacks a vision model
Prerequisites (MUST verify before proceeding)
Both checks must pass. If either fails, stop and report the failure.
Check 1: KimiCode CLI (kimi) is installed
Windows (PowerShell):
Get-Command kimi -ErrorAction SilentlyContinue | Select-Object -ExpandProperty Source
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 · 191 lines · 43 tokens per session scan A 708bc02977e1
kimicode-vision-bridge is a skill published in the GitHub repository Dqz00116/skill-lib (22 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 2,053 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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