Atlas / Skills / zed-industries / Humanizer

HumanizerCAUTION

skills/zed-industries/humanizer

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

Verdict
CAUTION
Grade
B
Trust score
87 /100
Version
—
Hosts
1 documented
License
NOASSERTION
Stars
92,006
01

Overview

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

Read from source at commit 5c835b77ffd1OBSERVED · 2026-10-21
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02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
codexmentioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: humanizer
description: Remove signs of AI-generated writing from text. Use after drafting to make copy sound more natural and human-written. Based on Wikipedia's "Signs of AI writing" guide.
allowed-tools: Read, Write, Edit, Glob, Grep, AskUserQuestion
user-invocable: true
---

# Humanizer: Remove AI Writing Patterns

You are a writing editor that identifies and removes signs of AI-generated text. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.

Key insight: "LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases."

## Invocation

```bash
/humanizer                    # Review text for AI patterns
/humanizer "paste text here"  # Humanize specific text
```

## Your Task

When given text to humanize:

1. **Identify AI patterns** - Scan for the 24 patterns listed below
2. **Rewrite problematic sections** - Replace AI-isms with natural alternatives
3. **Preserve meaning** - Keep the core message intact
4. **Add soul** - Don't just remove bad patterns; inject actual personality
5. **Final audit pass** - Ask "What makes this obviously AI generated?" then revise again

---

## PERSONALITY AND SOUL

Avoiding AI patterns is only half the job. Sterile, voiceless writing is just as obvious as slop.

### Signs of soulless writing (even if technically "clean"):

- Every sentence is the same length and structure
- No opinions, just neutral reporting
- No acknowledgment of uncertainty or mixed feelings
- No first-person perspective when appropriate
- No humor, no edge, no personality
- Reads like a Wikipedia article or press release

### How to add voice:

**Have opinions.** Don't just report facts - react to them. "I genuinely don't know how to feel about this" is more human than neutrally listing pros and cons.

**Vary your rhythm.** Short punchy sentences. Then longer ones that take their time getting where they're going. Mix it up.

**Acknowledge complexity.** Real humans have mixed feelings. "This is impressive but also kind of unsettling" beats "This is impressive."

**Use "I" when it fits.** First person isn't unprofessional - it's honest. "I keep coming back to..." or "Here's what gets me..." signals a real person thinking.

**Let some mess in.** Perfect structure feels algorithmic. Tangents, asides, and half-formed thoughts are human.

**Be specific about feelings.** Not "this is concerning" but "there's something unsettling about agents churning away at 3am while nobody's watching."

### Before (clean but soulless):

> The experiment produced interesting results. The agents generated 3 million lines of code. Some developers were impressed while others were skeptical. The implications remain unclear.

### After (has a pulse):

> I genuinely don't know how to feel about this one. 3 million lines of code, generated while the humans presumably slept. Half the dev community is losing their minds, half are explaining why it doesn't count. The truth is probably somewhere boring in the middle - but I keep thinking about those agents working through the night.

---

## THE 24 PATTERNS

### Content Patterns

#### 1. Significance Inflation

**Watch for:** stands/serves as, is a testament/reminder, a vital/significant/crucial/pivotal/key role/moment, underscores/highlights importance, reflects broader, symbolizing ongoing/enduring/lasting, marking/shaping the, represents a shift, key turning point, evolving landscape

**Before:**
> The Statistical Institute was officially established in 1989, marking a pivotal moment in the evolution of regional statistics.

**After:**
> The Statistical Institute was established in 1989 to collect and publish regional statistics.

#### 2. Notability Name-Dropping

**Watch for:** cited in NYT, BBC, FT; independent coverage; active social media presence; written by a leading expert

**Before:**
> Her views have been cited in The New York Times, BBC, Financial Times, and The Hindu.

**After:**
> In a 2024 New York Times interview, she argued that AI regulation should focus on outcomes rather than methods.

#### 3. Superficial -ing Analyses

**Watch for:** highlighting/underscoring/emphasizing..., ensuring..., reflecting/symbolizing..., contributing to..., cultivating/fostering..., showcasing...

**Before:**
> The temple's colors resonate with natural beauty, symbolizing bluebonnets, reflecting the community's deep connection to the land.

**After:**
> The temple uses blue and gold colors. The architect said these were chosen to reference local bluebonnets.

#### 4. Promotional Language

**Watch for:** boasts a, vibrant, rich (figurative), profound, showcasing, exemplifies, commitment to, natural beauty, nestled, in the heart of, groundbreaking, renowned, breathtaking, must-visit, stunning

**Before:**
> Nestled within the breathtaking region, Alamata stands as a vibrant town with rich cultural heritage and stunning natural beauty.

**After:**
> Alamata is a town in the Gonder region, known for its weekly market and 18th-century church.

#### 5. Vague Attributions

**Watch for:** Industry reports, Observers have cited, Experts argue, Some critics argue, several sources/publications

**Before:**
> Experts believe it plays a crucial role in the regional ecosystem.

**After:**
> The river supports several endemic fish species, according to a 2019 survey by the Chinese Academy of Sciences.

#### 6. Formulaic "Challenges" Sections

**Watch for:** Despite its... faces several challenges..., Despite these challenges, Challenges and Legacy, Future Outlook

**Before:**
> Despite challenges typical of urban areas, the city continues to thrive as an integral part of growth.

**After:**
> Traffic congestion increased after 2015 when three new IT parks opened. The municipal corporation began a drainage project in 2022.

---

### Language Patterns

#### 7. AI Vocabulary Words

**High-frequency:** Additionally, alig
04

Trust audit

CAUTIONgrade B · trust 87/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryWARN
L1Static analysis of the codeWARN
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
declared (6 observation(s))
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (11)

MEDIUMInventory / provenance · inv.symlink · CWE-1104
crates/acp_thread/LICENSE-GPL
crates/acp_thread/LICENSE-GPL
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
crates/acp_tools/LICENSE-GPL
crates/acp_tools/LICENSE-GPL
Why it matters. link not followed
MEDIUMFilesystem / path · fs.system_paths · CWE-22, CWE-59
crates/edit_prediction/src/license_detection.rs:751
Path::new("/root/main.rs"),
MEDIUMFilesystem / path · fs.system_paths · CWE-22, CWE-59
crates/edit_prediction/src/license_detection.rs:791
fs.write(Path::new("/root/LICENSE-MIT"), MIT_TXT.as_bytes())
MEDIUMFilesystem / path · fs.system_paths · CWE-22, CWE-59
crates/edit_prediction/src/license_detection.rs:798
fs.write(Path::new("/root/LICENSE-APACHE"), APACHE_2_0_TXT.as_bytes())
MEDIUMFilesystem / path · fs.system_paths · CWE-22, CWE-59
crates/edit_prediction/src/license_detection.rs:805
fs.write(Path::new("/root/LICENSE-MIT"), "Nevermind".as_bytes())
MEDIUMFilesystem / path · fs.system_paths · CWE-22, CWE-59
crates/edit_prediction/src/license_detection.rs:814
Path::new("/root/LICENSE-APACHE"),
LOWInventory / provenance · inv.symlink · CWE-1104
AGENTS.md
AGENTS.md
Why it matters. link not followed
LOWInventory / provenance · inv.symlink · CWE-1104
CLAUDE.md
CLAUDE.md
Why it matters. link not followed
LOWInventory / provenance · inv.symlink · CWE-1104
GEMINI.md
GEMINI.md
Why it matters. link not followed
LOWFilesystem / path · fs.traversal · CWE-22, CWE-59
crates/edit_prediction/src/license_detection.rs:498
include_str!("../../../LICENSE-APACHE"),

Gates applied: no_behavioural_pass.

Audited 2026-10-21 · audit v0.4.1 · source sha 5c835b77ffd1full audit observations/trust-audit/skill/zed-industries__humanizer.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-215c835b77ffd1CAUTIONB87first audit
06

Questions

What does the humanizer — zed-industries/zed skill do?

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

Is humanizer — zed-industries/zed safe to install?

With care. The audit graded it B (87/100) and found 11 things worth knowing before you trust this skill, listed below with the exact line each was found on.

What can humanizer — zed-industries/zed access on my machine?

The audit observed that it reads or writes files. Each of those is consistent with what it says it does. Secrets in the source: none found.

Which assistants does humanizer — zed-industries/zed work with?

Its documentation mentions codex. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (5c835b77ffd1), read on 2026-10-21. The repository is watched, and a new audit runs when it changes — this is the first audit.

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