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 VectorPeak/vectorpeak-agent-skills --skill image-to-markdown-vpgit clone --depth 1 https://github.com/VectorPeak/vectorpeak-agent-skillsWrote 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/vectorpeak/vectorpeak-agent-skills/image-to-markdown-vp)<a href="https://agentmods.dev/skills/vectorpeak/vectorpeak-agent-skills/image-to-markdown-vp"><img src="https://agentmods.dev/badge/skills/vectorpeak/vectorpeak-agent-skills/image-to-markdown-vp/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/vectorpeak/vectorpeak-agent-skills/image-to-markdown-vp"><img src="https://agentmods.dev/badge/skills/vectorpeak/vectorpeak-agent-skills/image-to-markdown-vp.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 | $0.00054 | $0.03489 |
| Opus 5.5 | $0.00022 | $0.01396 |
| Sonnet 5.5 | $0.00011 | $0.00698 |
| Haiku 4.5 | $0.00005 | $0.00349 |
Grade A, and why
image-to-markdown-vp 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 2mo 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image To Markdown VP
Purpose
Convert one or more screenshots into human-readable Obsidian-ready Markdown while preserving the visible structure as faithfully as practical.
This skill is for capture and reconstruction, not for rewriting or summarizing, unless the user explicitly asks.
Execution Mode
This skill defaults to multi-agent execution for real screenshot-to-Markdown work.
- MUST use multi-agent execution whenever the task includes multiple screenshots, mixed region types, diagrams, charts, UI evidence, or continuation batches.
- MUST assign one dedicated screenshot-handling agent. This agent owns screenshot inspection, crop decisions, remote uploads, alt text, and insertion anchors.
- MUST assign one structure-reconstruction agent. This agent owns OCR hierarchy, tables, formulas, code fences, and Mermaid conversion.
- The main agent owns merge, final write, and final validation.
- If the batch is large, dense, or risky, add a validator agent to reconcile the region manifest against the final Markdown.
- Only skip multi-agent execution when the task is truly tiny: one small screenshot with plain prose or a simple code block and no meaningful visual evidence.
Required Inputs
Before writing a file, the user must explicitly provide:
- Output directory path
- Output Markdown filename, or an unambiguous Markdown basename. If the basename is clear but
.mdis missing, append.mdautomatically. - One or more screenshots or images
- A generation signal such as “生成”, “继续补充”, “输出到文件”, or equivalent
If the path or filename is missing, stop and ask. Do not invent the destination.
Multi-Batch Handling
- Treat newly provided screenshots as part of the same capture set when the user clearly says they are continuing the same document.
- Preserve screenshot order by conversation order and attachment order unless the user corrects it.
- If the user says more images are coming, the final response MUST explicitly say the Markdown is still partial.
- If the user adds more images after a file already exists, update the same file only when they explicitly ask to continue that file.
- If a batch starts or ends in the middle of a section, table, formula, or code block, preserve only the visible content and do not invent the hidden continuation.
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.
- 2mo ago First seen · 310 lines · 54 tokens per session scan A 37dd7e95ecd4
image-to-markdown-vp is a skill published in the GitHub repository VectorPeak/vectorpeak-agent-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 54 tokens to every session and 3,489 once invoked, about $0.0002 per session on Opus 5.5. 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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