blader/humanizer

Agent skill that removes signs of AI-generated writing from text

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blader/humanizer has 58k+ stars and 4.5k+ forks on GitHub, is written in Python, and was last pushed on Oct 16, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 35 minutes ago
Added to GitGenius on August 31st, 2026
Created on January 18th, 2026
Open Issues & Pull Requests: 6 (+0)
GitHub issues: Enabled
Number of forks: 4,604
Total Stargazers: 58,098 (+19)
Total Subscribers: 270 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 15.8 days
Mean response time: 39.9 days
90th percentile: 142.1 days
Tracked items: 117

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

Practically every issue opened in the past year has drawn a reply. 100% of issues opened in the past year have since been closed. Three people close 89% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 1
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 0 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Humanizer is an agent skill that rewrites AI-generated text to sound naturally human-written while preserving factual accuracy and meaning.

The tool addresses the problem that large language models tend to produce statistically likely prose that exhibits recognizable patterns—inflated language, overused phrases, awkward constructions, and vague sourcing. Humanizer works by applying 35 patterns derived from Wikipedia's documented signs of AI writing. It makes an initial rewrite without preserving the original structure, then checks the result against those patterns and verifies that factual claims remain grounded in the source material or the writer's own knowledge. The tool shows its work, displaying both the intermediate rewrite and a critique of remaining artificial elements before delivering the final version.

Humanizer suits anyone using AI writing assistants who wants output that reads naturally without sacrificing accuracy. It works with any agent that supports skills and handles mixed-content files by rewriting only prose while leaving code, data, frontmatter, and link targets untouched. The tool can match a writer's voice by following a provided writing sample, adapting its style rules to the sample's rhythm, word choice, punctuation, and deliberate quirks rather than applying defaults. For technical and reference writing, it maintains neutral, plain language.

The project shows consistent maintenance with regular updates addressing the pattern library and tool functionality. Development activity includes ongoing refinement of the detection and rewriting logic to handle edge cases in how AI patterns manifest across different writing contexts. The tool receives periodic improvements to its handling of mixed-content files and its ability to preserve writer intent while removing artificial markers.