reader-level

A writing check that rewrites documentation in simpler language while keeping its meaning accurate. It runs after the content is written and before a humanizer step.

In plain words
What is it for?
Use it to review and simplify documentation for readers around a ninth-grade reading level, using checks for sentence length, vocabulary, clause load, and jargon.
Why use it?
It helps when documentation is factually correct but still too difficult to read because of long sentences, complex words, many clauses, or dense technical terms.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/friedbotstudio/baseline/reader-level
Any agent
npx skills add friedbotstudio/baseline --skill reader-level
Clone the repo
git clone --depth 1 https://github.com/friedbotstudio/baseline

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,817 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00057 $0.01817
Opus 5 $0.00028 $0.00908
Sonnet 5 $0.00011 $0.00363
Haiku 4.5 $0.00006 $0.00182

Measured 2d ago against content hash c1269ea2a533, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

reader-level 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (score.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/reader-level/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This skill exists because a page can pass every style check, state every fact correctly, and still be hard to read. The failure is not bad writing. It is writing pitched several grades above the reader, built out of long clauses and Latinate abstractions that each cost a beat to unpack.

Plain language is not dumbing down. The research is consistent: higher-literacy readers prefer plain prose, because it gets them the information faster. An expert reading a dense paragraph is not impressed; they are just spending time they did not need to spend.


The target

Grade 9 on the Flesch-Kincaid scale, and all four measures below. Run:

node .claude/skills/reader-level/score.mjs --target 9 <rendered page>
Measure Limit What it catches
FK grade 9 Sentence length and syllable count
Hard words 10% Vocabulary the reader has to decode
Clause load 0.4 / sentence Subordination the reader has to hold
Jargon load 1.2 / sentence Identifiers per sentence

One measure alone is gameable, which is why there are four. Flesch-Kincaid is only average sentence length and average syllables per word. A page of twelve-word sentences made of abstractions scores as middle-school and still reads hard, because the reader's cost is carrying unfamiliar concepts, not counting syllables. That is exactly how a page can score grade 7 and feel like a journal article.


The seven moves

Ranked by how much they shift the score.

1. One idea per sentence

Split at every which, so that, because, and when. Two plain sentences beat one correct sentence with a hinge in the middle.

Reach for an epic when one feature decomposes into several pieces that can land separately, and when the scouting and research behind them is shared.

Use an epic when one feature splits into pieces that can ship separately. They also need to share the same background work.

2. Concrete verb over abstract noun

Nouns ending -tion, -ment, -ance, -ity, -ness are usually verbs in disguise. Turn them back.

Read the full file on GitHub · 159 lines

Files

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.

Changes

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.

  1. 2d ago First seen · 159 lines · 57 tokens per session scan A c1269ea2a533

Subscribe to this mod's changes

reader-level is a skill published in the GitHub repository friedbotstudio/baseline (11 stars, last pushed 6d ago), licensed Apache-2.0. It adds 57 tokens to every session and 1,817 once invoked, about $0.0003 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 2026-08-30.