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readability-check可读性检查

Agent Skill

readability-check 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

353

周安装

15

GitHub Stars

46

下载量

124
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:readability-check(可读性检查)
来源仓库:https://github.com/jdevalk/skills
仓库路径:skills/readability-check
安装命令:
npx skills add https://github.com/jdevalk/skills --skill readability-check
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jdevalk/skills --skill readability-check

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 支持根据关键词、任务场景或来源线索进行信息检索,适用于研究检索类需求。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限和维护状态。
  • 使用前建议核实是否会触发联网、命令执行或文件读写等操作。
  • 可结合原始 README 和仓库路径进一步核验具体用法和功能边界。

SKILL.md

Readability check

Run a readability audit on a blog post draft or other multi-paragraph prose. Use when the user asks to check readability ("check readability", "readability pass", "is this readable"), or proactively after a substantial draft is complete — as a second pass after the blog-drafting skill's critical read, not during active drafting.

For short strings — page titles, meta descriptions, schema description fields, FAQ answers, profile bios, repo taglines — use the metadata-check skill. Flesch scoring and the nine-category rubric below don't fit a 5–30 word string and will mislead.

Audience calibration

Always assume the reader reads English as a second language. That's the default, not a fallback.

In technical posts, the technical sections can use domain terms the audience expects — but any non-technical paragraph (introduction, context, conclusion, transitions, examples, analogies) must be readable by a non-technical L2 reader. Setup and motivation paragraphs carry the post for readers who don't know the domain yet; they're where you lose people.

What to check

Read the full post, then report on each criterion below. For every issue, quote the specific text, reference its location (section heading or "intro" / "conclusion"), explain the problem, and suggest a concrete fix.

1. Paragraph structure

  • Every paragraph must lead with its most important sentence. The opening sentence should make sense standalone — this is the unit AI systems extract for answers.
  • One idea per paragraph. Break paragraphs that do two things.
  • Visual density matters more than a strict sentence count, but flag paragraphs over ~8 sentences or ~120 words.

2. Opening paragraph

The first paragraph carries disproportionate weight — it's what AI systems quote and what readers use to decide whether to keep reading. Check specifically:

  • Does the first sentence state the point of the post, not just set up context?
  • Can the first paragraph stand alone as a summary?
  • Is there hedging ("in this post I'll try to...") that can be cut?

3. Sentence length

Use tiered thresholds:

  • 14–20 words: normal, no action needed.
  • 21–30 words: long. Flag if a paragraph has more than one.
  • 30+ words: very long. Flag every instance; suggest a split.

Long sentences are especially costly for L2 readers because they have to hold more grammar in working memory. When a long sentence is unavoidable (e.g. a necessary list), check that the sentences around it are short.

4. Passive voice

Flag passive constructions ("X was done by Y", "it is recommended that..."). For each:

  • If the actor is clear and active voice reads naturally, rewrite.
  • Keep passive when the actor is genuinely unknown, irrelevant, or when the object is the real topic of the sentence.
  • Flag stacked passives (two in one paragraph) even if each is individually defensible.

5. Difficult words

Don't rely on syllable count — it mislabels common words as hard ("information") and simple words as easy ("queue"). Instead, flag a word if:

  • A non-technical L2 reader probably wouldn't use it in conversation, and
  • A more common synonym exists that fits the sentence.

Examples of words to flag when a simpler option works: *utilize* (use), *leverage* (use), *facilitate* (help), *commence* (start), *subsequently* (then), *ascertain* (find out), *endeavor* (try).

Exceptions:

  • Domain terms the audience expects ("structured data", "hydration", "middleware") — don't flag in technical sections.
  • In non-technical paragraphs of technical posts, apply the strict L2 rule even to mild jargon.

When a difficult word is genuinely necessary, check that the surrounding sentences are short and simple so the reader has processing room.

6. Filler and hedging

Flag words that add length without meaning: *really*, *just*, *very*, *actually*, *basically*, *simply*, *in order to* (→ to), *at this point in time* (→ now), *due to the fact that* (→ because). Also flag hedges that weaken claims without reason: *I think*, *sort of*, *kind of*, *it could be argued that*.

7. Transition words

  • Paragraphs should connect with transitions: *because*, *therefore*, *however*, *for example*, *first*, *in other words*, *as a result*, *that said*.
  • Flag sequences of 3+ paragraphs with no transitions.
  • Don't over-correct: natural flow counts. Not every paragraph needs an explicit connector.

8. Variation

  • Flag words or phrases repeated 3+ times within ~200 words (excluding articles, prepositions, domain terms).
  • Flag 3+ consecutive paragraphs that open with the same sentence structure (e.g. all starting "You can...").
  • Suggest synonyms or restructuring.

9. Subheadings and heading hierarchy

  • In posts over 1000 words, no prose section should run longer than ~300 words without a subheading.
  • Subheadings should be descriptive enough to understand standalone — a reader skimming the table of contents should grasp the post's shape.
  • Check heading levels are properly nested (no h2 → h4 jumps).
  • Sibling headings should be grammatically parallel (all noun phrases, or all questions, or all imperatives — pick one and stick to it within a section).

Scoring

Report two things.

Flesch Reading Ease (computed: 206.835 − 1.015 × (words/sentences) − 84.6 × (syllables/words)). Target bands:

  • 70+ — plain English, comfortable for L2 readers. Aim here for non-technical posts and for non-technical paragraphs in technical posts.
  • 60–70 — standard. Acceptable for technical posts overall, provided non-technical sections score higher.
  • 50–60 — fairly difficult. Flag; suggest specific cuts.
  • Below 50 — hard. Needs rework.

Flesch is mechanical and misses paragraph-level issues, but it's an objective anchor. If possible, also report the score for the intro and conclusion separately — those should sit at the top of the target band.

Per-category status — for each of the 9 checks above, assign one of:

  • Pass — no meaningful issues.
  • Needs work — a few fixable issues; listed below.
  • Problem — systemic issue across the post.

Output format

## Readability audit: [post title]

### Score
- Flesch Reading Ease: [n] ([band])
- Intro: [n] · Conclusion: [n]
- Per-category: 1. ✓  2. ⚠  3. ✓  4. ✗  5. ⚠  6. ✓  7. ✓  8. ⚠  9. ✓

### Summary
[One paragraph: overall readability, the one or two biggest issues, and which audience the post currently serves vs. which it should serve.]

### Issues found
[Grouped by category. For each: location, quoted text, why it's a problem, concrete fix.]

### What's working
[Specific sentences, paragraphs, or transitions that read well — quote them. Vague praise ("the intro is fine") doesn't help the writer calibrate; specific praise ("the analogy in the 'Setup' section lands because it bridges to a non-technical reader") does.]

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.69%
按下载量换算44

Claude

33.31%
按下载量换算41

Cursor

17.14%
按下载量换算21

Gemini CLI

8.8%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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