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 kensaurus/cursor-kenji --skill enhance-readabilitygit clone --depth 1 https://github.com/kensaurus/cursor-kenjiWrote 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/kensaurus/cursor-kenji/enhance-readability)<a href="https://agentmods.dev/skills/kensaurus/cursor-kenji/enhance-readability"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/enhance-readability/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/kensaurus/cursor-kenji/enhance-readability"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/enhance-readability.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 | $0.00078 | $0.02093 |
| Opus 5 | $0.00039 | $0.01046 |
| Sonnet 5 | $0.00016 | $0.00419 |
| Haiku 4.5 | $0.00008 | $0.00209 |
Grade A, and why
enhance-readability 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 5d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Surface router:
/uiux. You are here:enhance-readability. Native iOS/Android (SwiftUI / Compose, no web layer) is out of scope — use Apple HIG / Material directly.
enhance-readability — Make content understood
Degree of freedom: MIXED. Text-metric measurement [LOW freedom — run exactly];
grouping, iconography, and tone [HIGH freedom].
Audit-and-fix. The goal is comprehension: the least mental effort for the
reader to understand the content. enhance-web-ui makes it look good;
audit-responsive makes it fit the screen; this makes it understood.
The backbone is Cognitive Load Theory (working memory is small — cut extraneous load) and Gestalt (the brain auto-groups visual elements — design with that). A consequence of CLT / information overload: showing more information can raise extraneous load and lower understanding. Replacing a dense paragraph with one table or diagram is a comprehension win only when the visual reduces total load versus the text it replaces — never decoration.
How to reason
- Observe — what makes this effortful? (dense text / no hierarchy / wall of prose / no whitespace / wrong register)
- Diagnose — which of the six channels, and which Gestalt / CLT principle
- Classify load — extraneous (bad presentation — always cut) vs intrinsic (inherent complexity — restructure / chunk) vs germane (productive — keep)
- Lever — cheapest channel that removes that load
- Severity — how much it blocks understanding on the primary path
Worked example
Observe: a pricing section is 3 dense paragraphs comparing 4 plans, 105 CPL, one grey block. Diagnose: dim 4 (comparison is a table), dim 3 (no proximity grouping), dim 1 (CPL 105 > 80), dim 5 (no whitespace). Classify: extraneous (prose form) + intrinsic (4-way comparison → chunk into a table). Lever: generate a 4-column comparison table; cap surrounding text at 66ch; icon per tier. Handoff: table collapse on mobile →
audit-responsive; table tokens →audit-uiux-design-system.
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.
- 5d ago First seen · 148 lines · 78 tokens per session scan A b1086c096e0f
enhance-readability is a skill published in the GitHub repository kensaurus/cursor-kenji (9 stars, last pushed 10d ago), licensed MIT. It adds 78 tokens to every session and 2,093 once invoked, about $0.0004 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
frontend-slides
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.
brand-intel-branddev
Brand intelligence - logos, colors, fonts, styleguides, and company data from any domain.
create-workflow-diagram
Create FigJam/Miro-style workflow diagrams as high-quality PNG images from plain-text workflow descriptions. Renders beautiful HTML diagrams with connected nodes, arrows, and labels, then screenshots them for sharing.
goose-graphics-create-style
End-to-end skill that turns a single reference image into a published Gooseworks style — analyzes the image, drafts the slim style spec, renders a hero example plus 2-3 additional formats via Playwright, writes the gooseworks-style.json manifest, and publishes via npx gooseworks styles publish so other agents can…
goose-graphics
Portable visual skill pack for the Agent Skills ecosystem (Claude Code, Claude Desktop, Claude Cowork, Claude Design, Goose, Cursor, Codex). Discovers community-published styles + formats via the gooseworks CLI, runs an extract-style workflow on reference images, and exports rendered PNGs via Playwright.
create-chatgpt-mockup
Render pixel-accurate ChatGPT mobile (iOS) screen mockups in light mode from a thread JSON. Supports user text bubbles, user image attachments, assistant markdown prose, citation chips, the OpenAI spiral logo, the Apps-SDK GPT chip in the composer, and three header styles (model-tag, plain title, "Get Plus"). Fixed…