- TESIGN / RADAR
- humanizer
humanizer
Make AI drafts read like a person
WHO USES ITMarketer · Blogger · Docs writer
For developers
Strips the tells of AI-generated writing out of a draft.
START IN 5 MINUTES ↓
TESIGN TAKE
A rule set that names 25 AI writing tells and removes them; a sensible first pass before a human edit.
Activity and discovery evidence
63,513 stars · checked on GitHub · 7-day +13 observed via GH Archive (as of )
RANKS All-time #92 PRODUCTIVITY #6
AT A GLANCE
- LICENSE
- MIT
- USAGE
- Use, change and redistribute, commercially too. Keep the notice.
- LANGUAGE
- Python
- ACTIVITY
- last commit 4 days ago () · latest release v3.1.0 () · 6 releases
- COMMUNITY
- 24 contributors · 14 open issues (incl. PRs) · made by: an individual
- SOURCES
- GitHub
- OPEN SOURCE
- YES
- FIRST SEEN
- CATEGORY
- AI · PRODUCTIVITY
A summary, not legal advice.
WHY IT MATTERS
A draft written by a model reads smoothly but keeps its own verbal habits, and readers spot them first. humanizer is an agent skill that finds and removes those traces at the draft stage, attached to Claude Code, Codex or Cursor. It is written in Python under the MIT license and has its own skill distribution page. What counts as an AI tell varies by genre, so read the result yourself.
BUILD FROM THIS
- An in-house polishing step every draft passes before publishing
- A post-processing rule that pulls drafts back to the brand voice
WHO IT'S FOR
- Marketer
- strips AI tells from a model-written draft
- Blogger
- matches the prose to their own voice before publishing
- Docs writer
- keeps reference prose plain and neutral
START IN 5 MINUTES
$ npx skills add blader/humanizer --global
# Claude Code 2.1.142+ can install the plugin instead:
# /plugin marketplace add blader/humanizer
# /plugin install humanizer@humanizer
# Use: type /humanizer and paste your textCAVEATS
- What counts as an AI tell varies by genre, so read the result yourself
- It is designed to ask rather than invent when a sentence lacks a fact
- The README says nothing about how it performs on Korean text
RECEIPT
- FIRST SEEN
- AT SOURCE
- KEPT
- STAR DELTA
- +4 ★ / 24h
- CREATED → FIRST SEEN
- 238d
- WHEN FIRST SEEN
- 47,453 ★
- SOURCES
- GitHub
The same facts in machine-readable form — View as Markdown · JSON
SIMILAR TOOLS
Up to five from AI by ★ total: edited entries first, then repository cards; this entry is highlighted. Drawn from the same stored snapshot as the rankings — a comparison, not a recommendation.
| IMAGE | NAME | ★ TOTAL | ▲ 7d | LICENSE | PLATFORM | LAST PUSH |
|---|---|---|---|---|---|---|
![]() | eccSkills, memory and security for agents | ★ 295k | ▲ +28 | MITpermissive | windows · macos · linux · cli | |
![]() | DeepSeek HarnessPlugin agent harness for developers | ★ 268k | ▲ +61 | MITpermissive | web · cli | |
![]() | Hermes AgentSelf-improving personal agent | ★ 260k | ▲ +10 | MITpermissive | linux · macos · windows · android · cli | |
![]() | humanizerMake AI drafts read like a personTHIS ENTRY | ★ 63.5k | ▲ +13 | MITpermissive | — | |
| anomalyco/opencodeCARD | ★ 207k | ▲ +8 | MITpermissive | — |
TIMELINE
- Repository created
- FIRST SEEN BY TESIGN







