reading-business-cards

reading-business-cards is a skill for Claude Code from oaustegard/claude-skills. It costs 148 tokens per session (2,534 once invoked), scanned A, original, MIT.

An image-reading workflow for turning photos or scans containing many business cards into a cleaned contact list. It first separates cards into readable image tiles, then extracts and deduplicates their details.

In plain words
What is it for?
Use it to process batches of photographed business cards and produce structured contact information from them.
Why use it?
A full sheet can make each card too small to read accurately, so preprocessing preserves more detail for text extraction.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/claude/cards_work.

Part of the media-processing plugin — 6 skills shipped together

Good fit Use it to process batches of photographed business cards and produce structured contact information from them.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add oaustegard/claude-skills
Claude Code
/plugin install media-processing

Made for: Claude Code.

Or install media-processing, the plugin that ships this one along with the rest of its 6 skills.

Wrote 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.

agentmods badge for reading-business-cards

README.md
[![agentmods](https://agentmods.dev/badge/skills/oaustegard/claude-skills/reading-business-cards/github.svg)](https://agentmods.dev/skills/oaustegard/claude-skills/reading-business-cards)
Your own site
<a href="https://agentmods.dev/skills/oaustegard/claude-skills/reading-business-cards"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/reading-business-cards/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.

agentmods 80×15 button for reading-business-cards

Your own site · 80×15
<a href="https://agentmods.dev/skills/oaustegard/claude-skills/reading-business-cards"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/reading-business-cards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 148 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,534 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00148 $0.02534
Opus 5 $0.00074 $0.01267
Sonnet 5 $0.00030 $0.00507
Haiku 4.5 $0.00015 $0.00253

Measured 2d ago against content hash 84966d46fd7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

reading-business-cards 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 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/extract_cards.py, scripts/prep_cards.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/media-processing/skills/reading-business-cards/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reading Business Cards

Turn photos or scans that pack many business cards into one image into a clean contact list. The job is two stages, in order: preprocess with the script, then read the tiles it produces. Read the tiles, not the original sheet — the original is too low-resolution per card once the model downscales it.

Why preprocess first

The model downscales any input image to ~1568px on the long edge before it sees it. A phone photo of 50-60 cards is often 4000-6000px; downscaled to one image, each card lands ~150px wide — unreadable, which forces you onto a more expensive model. The script cuts the sheet into overlapping tiles, each near the downscale cap (~1300px), so every card in a tile keeps 500px+ of real resolution. That resolution recovery is what lets a cheaper model (Sonnet) read cards that only the expensive one (Opus) could read before — and it lets Opus read cards from far fewer tiles. The grid is sized to the reader model (see Stage 1): pass --model and the script tiles aggressively for Haiku, moderately for Sonnet, and least for Opus, because a stronger reader has a lower resolution floor. The floor is set by the pixels, not the model's intelligence: at ~220px/card (a whole dense sheet) even Opus reads only company and some names, not phone/email — so even Opus needs a few tiles for fine print on dense sheets.

De-glaring (illumination flattening + local contrast) is applied to each tile. It corrects uneven lighting and the haze off glossy cards and plastic binder sleeves. It cannot recover text where glare has clipped pixels to pure white — that data is gone (see Limits).

Stage 1 — Tile the sheets

The person only provides the images and the goal ("read these cards"). Derive every parameter yourself; do not ask them to choose grid sizes or flags.

Real sheets are messy: cards scattered at angles, packed in binder sleeves, overlapping, piled. Detecting individual card boundaries fails on all of these. Tiling ignores card boundaries — it slices the sheet into a grid of overlapping rectangles. Each tile holds a few cards at high resolution; the overlap means a card split by one tile's edge is whole in its neighbour.

Read the full file on GitHub · 186 lines

Files

What ships with it

4 files 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.

Changes

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.

  1. 2d ago Changed 84966d46fd7d
  2. 9d ago First seen · 186 lines · 148 tokens per session scan A 82305162667e

Subscribe to this mod's changes

reading-business-cards is a skill published in the GitHub repository oaustegard/claude-skills (148 stars, last pushed yesterday), licensed MIT. It adds 148 tokens to every session and 2,534 once invoked, about $0.0007 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 2026-09-03.

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