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 OpenMinis/MinisSkills --skill contact-vcard-extractorgit clone --depth 1 https://github.com/OpenMinis/MinisSkillsWrote 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/openminis/minisskills/contact-vcard-extractor)<a href="https://agentmods.dev/skills/openminis/minisskills/contact-vcard-extractor"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/contact-vcard-extractor/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/openminis/minisskills/contact-vcard-extractor"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/contact-vcard-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.01567 |
| Opus 5 | $0.00000 | $0.00783 |
| Sonnet 5 | $0.00000 | $0.00313 |
| Haiku 4.5 | $0.00000 | $0.00157 |
Grade A, and why
contact-vcard-extractor 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 11d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contact vCard Extractor
Objective
Convert contact information from user-provided text or images into previewable, importable, and shareable .vcf vCard files. Prioritize the real user experience: extract the data and have the user confirm it before generating the file. Mark any uncertain fields and do not silently fill in guesses.
Typical Workflow
- Receive Input
- Text: Directly parse user messages, pasted text, or results extracted from web pages.
- Images: Business card photos, screenshots, posters, or chat screenshots. First use
apple-vision ocrto recognize text. If it appears to contain a QR code, useapple-vision barcode. - Files: First check
/var/minis/attachments/,/var/minis/workspace/, and/var/minis/mounts/.
- Extract Fields
- Name
FN/N - Phone
TEL: Multiple numbers must be split into separateTELentries. The number field should contain only the number itself. Do not append labels such as "front desk," "mobile," or "WeChat" to the number. Export all phone numbers uniformly asTEL;TYPE=CELL; users can change the type themselves if needed. Labels can be shown in the summary and, if necessary, placed in notes. - Email
EMAIL - Company
ORG - Job title
TITLE - Address
ADR - Website
URL - Notes
NOTE: Source, WeChat ID, uncategorized but long-term useful information, and uncertain recognition items. Do not include temporary to-dos, reminders, or next follow-up items.
- Name
- User Confirmation
- List the fields concisely and highlight content that may have been recognized incorrectly.
- If the name or phone/email is missing, ask whether the user wants to add it. If the user is in a hurry, generate an "Unnamed Contact."
- Generate vCard
- Use the bundled script:
/var/minis/skills/contact-vcard-extractor/scripts/contact_to_vcard.py - Output to
/var/minis/workspace/Contact Name.vcf. Remove special characters from the file name. If necessary, usecontact.vcf.
- Use the bundled script:
- Present and Import/Share
- Provide a Markdown file link:
[Import Contact](minis://workspace/xxx.vcf). - Use
minis-open /var/minis/workspace/xxx.vcfto preview/share within the app. - If the user explicitly wants to open the import screen, run
apple-open /var/minis/workspace/xxx.vcforminis-open. Usually, preferminis-opento stay in the chat.
- Provide a Markdown file link:
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.
- 11d ago First seen · 84 lines · 0 tokens per session scan A 65ba87072608
contact-vcard-extractor is a skill published in the GitHub repository OpenMinis/MinisSkills (407 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,567 tokens. 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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