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 danicat/speedgrapher --skill readabilitygit clone --depth 1 https://github.com/danicat/speedgrapherWrote 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/danicat/speedgrapher/readability)<a href="https://agentmods.dev/skills/danicat/speedgrapher/readability"><img src="https://agentmods.dev/badge/skills/danicat/speedgrapher/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/danicat/speedgrapher/readability"><img src="https://agentmods.dev/badge/skills/danicat/speedgrapher/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 | $0.00119 | $0.03056 |
| Opus 5.5 | $0.00048 | $0.01222 |
| Sonnet 5.5 | $0.00024 | $0.00611 |
| Haiku 4.5 | $0.00012 | $0.00306 |
Grade A, and why
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 4d 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.
Readability: jargon mitigation, deslopification & copyediting
readability turns dense, bureaucratic, or synthetic drafts into clear, human-authored technical prose. It combines three complementary disciplines:
- The 4-Step HBR Framework to remove status-signaling jargon and raw acronyms while preserving technical accuracy.
- The 5-Dimension AI Slop Purge (
deslopify) to eliminate LLM clichés and re-establish natural syntax. - Per-Paragraph
fogandvaleHotspot Remediation to fix density issues via Speedgrapher MCP metrics andreferences/tropes-and-jargon.md.
1. Why Technical Prose Gets Bogged Down: The HBR Jargon Insight
Writing loaded with jargon signals insecurity, not mastery. They found that professionals who feel low status lean on unexpanded acronyms and abstract vocabulary to manufacture authority. The strategy backfires: readers trust plain, concrete explanations more. In "Does Your Office Have a Jargon Problem?" (Harvard Business Review, March 2021), Zachariah Brown, Eric M. Anicich, and Adam D. Galinsky analyzed thousands of texts to track why people hide behind buzzwords.
Functional Precision vs. Status-Signaling Jargon
Technical copyediting must never "dumb down" real engineering concepts. Before cutting a technical term, classify it into one of two buckets:
| Classification | Definition | Examples | Editorial Action |
|---|---|---|---|
| Functional Precision (KEEP) | Exact computer science primitives, protocol names, syscalls, or metrics that have no simpler accurate synonym. | mutex, goroutine, idempotent, B-tree page split, p99 latency, CRC32C checksum, epub, mmap |
Keep the term. If the term is an acronym or domain-specific concept that a cross-functional reader (The Scanner) might not know, define it briefly on first mention. |
| Status-Signaling Jargon (PURGE) | Bureaucratic noun stacks, slide-deck metaphors, and inflated verbs used to sound impressive rather than specify a mechanism. | orchestration layer validation methodology, operationalize, leverage, utilize, holistic paradigm, single pane of glass | Purge immediately. Replace with the concrete system actor, a plain active verb (use, run, validate), and the exact mechanism. |
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.
- 4d ago First seen · 148 lines · 119 tokens per session scan A 74f92250c4e3
readability is a skill published in the GitHub repository danicat/speedgrapher (51 stars, last pushed 4d ago), licensed Apache-2.0. It adds 119 tokens to every session and 3,056 once invoked, about $0.0005 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 2026-10-17.
Other skills, from other repositories
astro
Build content-focused websites with Astro — zero JS by default, islands architecture, multi-framework components, and Markdown/MDX support.
altorank
Run AltoRank through its hosted MCP server: readiness audits, Search Console, keyword research, and SEO drafts into a review queue.
mm-web-bridge
An idea partner for a developer who discusses plans, checks current information online, and prepares self-contained tasks for Claude Code running in Windows PowerShell. It is designed for Russian-language work and mentions Telegram bots, Python, SQLite, and Railway deployment.
mm-init-project
A project setup workflow that creates a shared project record in Markdown files, including a passport, dashboard, handoff notes, and instructions for Claude.ai. Obsidian is a note-taking app that can store these files as a connected project vault.
mm-save-session
An end-of-session recorder for Claude Code that saves the conversation summary and project state in Obsidian notes. Obsidian is a note-taking app that stores information as files.
mm-handoff
A skill that creates a compact handoff.md summary for starting a new Claude chat when the current chat is full. The file records recent work, current status, open questions, and selected project context.