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 taracodlabs/aiden --skill ocr-and-documentsgit clone --depth 1 https://github.com/taracodlabs/aidenWrote 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/taracodlabs/aiden/ocr-and-documents)<a href="https://agentmods.dev/skills/taracodlabs/aiden/ocr-and-documents"><img src="https://agentmods.dev/badge/skills/taracodlabs/aiden/ocr-and-documents/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/taracodlabs/aiden/ocr-and-documents"><img src="https://agentmods.dev/badge/skills/taracodlabs/aiden/ocr-and-documents.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 | $0.00019 | $0.01012 |
| Opus 5.5 | $0.00008 | $0.00405 |
| Sonnet 5.5 | $0.00004 | $0.00202 |
| Haiku 4.5 | $0.00002 | $0.00101 |
Grade A, and why
ocr-and-documents 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 1mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 1mo ago First seen · 126 lines · 19 tokens per session scan A 6b5f84b8a880
ocr-and-documents is a skill published in the GitHub repository taracodlabs/aiden (863 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 19 tokens to every session and 1,012 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
gog
Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Tasks, Sheets, Docs, and Slides.
kortix-drives
The project's Files under /drives: the user's own folder (their desktop, also at /Desktop) and the folders shared with you, synced with the Kortix web app and every other session. Load before you read or save a file the user should keep, look for the user's notes, preferences or context, keep memory across sessions…
presentations
Build PowerPoint (PPTX) decks — pptxgenjs when Node is present, python-pptx when not; edit existing decks in place via OOXML — with visual QA before delivery.
word-documents
Produce Word (DOCX) documents — new documents with python-docx, existing documents and templates edited in place through their OOXML — validated before delivery.
google-workspace
Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.
content-hash-cache-pattern
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.