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 agentmods add skills/mte90/dotfiles/ratatuinpx skills add Mte90/dotfiles --skill ratatuigit clone --depth 1 https://github.com/Mte90/dotfilesWrote 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/mte90/dotfiles/ratatui)<a href="https://agentmods.dev/skills/mte90/dotfiles/ratatui"><img src="https://agentmods.dev/badge/skills/mte90/dotfiles/ratatui.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.18721 |
| Opus 5 | $0.00014 | $0.09361 |
| Sonnet 5 | $0.00005 | $0.03744 |
| Haiku 4.5 | $0.00003 | $0.01872 |
Grade A, and why
ratatui 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 yesterday.
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
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- yesterday First seen · 2,802 lines · 27 tokens per session scan A 6621c10267f9
ratatui is a skill published in the GitHub repository Mte90/dotfiles (51 stars, last pushed 3d ago), with no licence file. It adds 27 tokens to every session and 18,721 once invoked, about $0.0001 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.
Other skills, from other repositories
rust-design-patterns
Rust idioms and design patterns for writing idiomatic code. Use when: (1) Writing new Rust code, (2) Reviewing Rust code, (3) Solving borrow checker issues, (4) Designing Rust APIs. Triggers on: Rust ownership problems, lifetime errors, API design questions, 'how to do X idiomatically in Rust'.
scaffold-rust
Scaffold a complete Rust project with CI/CD, release pipeline, and sr.yaml. Uses cargo as the native build system. Loads on top of scaffold-project (run that first for cross-language standard files). Use when creating a new Rust CLI, library, or workspace, or when the user mentions "new Rust project", "cargo init", or…
polars
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
rust-unit-tests
Write, improve, and run Rust unit tests in the warp Rust codebase.
golang-style
Go conventions specific to this author. Use before writing or editing any Go (.go) file.