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 pedroiff0/awesome-skills --skill pretextgit clone --depth 1 https://github.com/pedroiff0/awesome-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/pedroiff0/awesome-skills/pretext)<a href="https://agentmods.dev/skills/pedroiff0/awesome-skills/pretext"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/pretext/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/pedroiff0/awesome-skills/pretext"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/pretext.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 | $0.00056 | $0.03512 |
| Opus 5 | $0.00028 | $0.01756 |
| Sonnet 5 | $0.00011 | $0.00702 |
| Haiku 4.5 | $0.00006 | $0.00351 |
Grade A, and why
pretext 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 8d 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.
This is a copy
92% identical to pretext — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pretext Creative Demos
Overview
@chenglou/pretext is a 15KB zero-dependency TypeScript library by Cheng Lou (React core, ReasonML, Midjourney) for DOM-free multiline text measurement and layout. It does one thing: given (text, font, width), return the line breaks, per-line widths, per-grapheme positions, and total height — all via canvas measurement, no reflow.
That sounds like plumbing. It is not. Because it is fast and geometric, it is a creative primitive: you can reflow paragraphs around a moving sprite at 60fps, build games whose level geometry is made of real words, drive ASCII logos through prose, shatter text into particles with exact per-grapheme starting positions, or pack shrink-wrapped multiline UI without any getBoundingClientRect thrash.
This skill exists so Hermes can make cool demos with it — the kind people post to X. See pretext.cool and chenglou.me/pretext for the community demo corpus.
When to Use
Use when the user asks for:
- A "pretext demo" / "cool pretext thing" / "text-as-X"
- Text flowing around a moving shape (hero sections, editorial layouts, animated long-form pages)
- ASCII-art effects using real words or prose, not monospace rasters
- Games where the playfield / obstacles / bricks are made of text (Tetris-from-letters, Breakout-of-prose)
- Kinetic typography with per-glyph physics (shatter, scatter, flock, flow)
- Typographic generative art, especially with non-Latin scripts or mixed scripts
- Multiline "shrink-wrap" UI (smallest container width that still fits the text)
- Anything that would require knowing line breaks before rendering
Don't use for:
- Static SVG/HTML pages where CSS already solves layout — just use CSS
- Rich text editors, general inline formatting engines (pretext is intentionally narrow)
- Image → text (use
ascii-art/ascii-videoskills) - Pure canvas generative art with no text role — use
p5js
Creative Standard
This is visual art rendered in a browser. Pretext returns numbers; you draw the thing.
What ships with it
3 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.
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.
- 8d ago First seen · 221 lines · 56 tokens per session scan A 532570c95d1a
pretext is a skill published in the GitHub repository pedroiff0/awesome-skills (1 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 3,512 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to pretext, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
dx-roaster
Brutally honest developer-experience audit for a GitHub repo. Scores 10 DX dimensions (time-to-first-success, README clarity, visual proof, install, quick-start, docs, examples, community, trust, marketing), writes a shareable roast in the requested tone (brutal/honest/kind), produces a prioritized action plan ranked…
dogfood
This skill guides you through systematic exploratory QA testing of web applications using the browser toolset. You will navigate the application, interact with elements, capture evidence of issues, and produce a structured bug report.
dynamic-content-extraction
Extract structured data (prices, listings, product details) from JavaScript-heavy sites where key data is rendered by React/Vue/Angular and doesn't appear in compact accessibility snapshots.
mnemosyne-maintenance
Use when: upgrading Mnemosyne, diagnosing slow/hung consolidation (mnemosynesleep), fixing missing embeddings, or troubleshooting import/version mismatches.
review-workflow
A review workflow for GitHub pull requests and issues, including judging whether changes can be merged or an issue can be closed. It requires read-only review, REST API access, and testing changes in practice.
browser-harness-authoring
Use when mapping a repeatable website workflow into a verified Hermes skill so later runs can follow known steps instead of rediscovering the site. Surveys browser compatibility, semantic targets, failure modes, recovery paths, decision gates, and expiry using dummy data and no irreversible submissions.