claudesidian: Skill for Claude Code

.agents/skills/de-ai-ify/SKILL.md

de-ai-ify is a skill for Claude Code, Codex from heyitsnoah/claudesidian. It costs 43 tokens per session (513 once invoked), scanned A, original, MIT.

A writing pass that removes common machine-like wording and makes text sound more natural.

In plain words
What is it for?
Use it to rewrite drafts when you want a more direct, conversational human voice.
Why use it?
It reduces clichés, excessive transitions, hedging, corporate terms, and repetitive sentence patterns.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is heyitsnoah/claudesidian's own configuration. It tells Claude Code and Codex how to work on claudesidian itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claudesidian configures →

About the project

Claudesidian is a preconfigured Obsidian vault structure that lets Claude Code help manage a personal knowledge base as a thinking partner. It is for people who organize notes and other knowledge in Obsidian, with Git-based version control and optional integrations for image analysis and web research. The catalogue add-ons provide Claude Code skills, agents, hooks, and settings for working with this vault.

heyitsnoah/claudesidian · 2,584 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to heyitsnoah/claudesidian. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/heyitsnoah/claudesidian/main/.agents/skills/de-ai-ify/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/heyitsnoah/claudesidian

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for de-ai-ify

README.md
[![agentmods](https://agentmods.dev/badge/skills/heyitsnoah/claudesidian/de-ai-ify/github.svg)](https://agentmods.dev/skills/heyitsnoah/claudesidian/de-ai-ify)
Your own site
<a href="https://agentmods.dev/skills/heyitsnoah/claudesidian/de-ai-ify"><img src="https://agentmods.dev/badge/skills/heyitsnoah/claudesidian/de-ai-ify/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.

agentmods 80×15 button for de-ai-ify

Your own site · 80×15
<a href="https://agentmods.dev/skills/heyitsnoah/claudesidian/de-ai-ify"><img src="https://agentmods.dev/badge/skills/heyitsnoah/claudesidian/de-ai-ify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 513 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00043 $0.00513
Opus 5 $0.00022 $0.00257
Sonnet 5 $0.00009 $0.00103
Haiku 4.5 $0.00004 $0.00051

Measured 10d ago against content hash 3775da498935, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

de-ai-ify 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 10d 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.

.agents/skills/de-ai-ify/SKILL.md · 90 lines

What it actually says

De-AI-ify Text

Remove AI-generated patterns and restore natural human voice to your writing.

I'll create a de-AI-ified version of your text that sounds more human and less machine-generated.

What Gets Removed

1. Overused Transitions

  • "Moreover," "Furthermore," "Additionally," "Nevertheless"
  • Excessive "However" usage
  • "While X, Y" openings

2. AI Clichés

  • "In today's fast-paced world"
  • "Let's dive deep"
  • "Unlock your potential"
  • "Harness the power of"

3. Hedging Language

  • "It's important to note"
  • "It's worth mentioning"
  • Vague quantifiers: "various," "numerous," "myriad"

4. Corporate Buzzwords

  • "utilize" → "use"
  • "facilitate" → "help"
  • "optimize" → "improve"
  • "leverage" → "use"

5. Robotic Patterns

  • Rhetorical questions followed by immediate answers
  • Obsessive parallel structures
  • Always using exactly three examples
  • Announcement of emphasis

What Gets Added

Natural Voice

  • Varied sentence lengths
  • Conversational tone
  • Direct statements
  • Specific examples

Human Rhythm

  • Natural transitions
  • Confident assertions
  • Personal perspective
  • Authentic phrasing

Process

  1. Read original file
  2. Create copy with "-HUMAN" suffix
  3. Apply de-AI-ification
  4. Provide change log

Output

You'll get:

  • A new file with natural human voice
  • Change log showing what was fixed
  • List of places needing specific examples

Example Transformations

Before (AI): "In today's rapidly evolving digital landscape, it's crucial to understand that leveraging AI effectively isn't just about utilizing cutting-edge technology—it's about harnessing its transformative potential to unlock unprecedented opportunities."

After (Human): "AI works best when you use it for specific tasks. Focus on what it does well: writing code, analyzing data, and answering questions."

Let me de-AI-ify your text!

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. 10d ago First seen · 90 lines · 43 tokens per session scan A 3775da498935

Subscribe to this mod's changes

de-ai-ify is a skill published in the GitHub repository heyitsnoah/claudesidian (2,584 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 513 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens