x-humanizer

name

x-humanizer

description

Scrub AI tells from any tweet or thread draft, or audit a finished draft against the 2026 X (Twitter) checklist. Strips em dashes, AI vocabulary (leverage, fundamentally, delve, harness), rule-of-three lists, and uniform tweet rhythm, then adds human fingerprints. Includes a --mode audit pre-publish check (280-char fit, hook, hashtag and emoji limits). Triggers on humanize, de-AI tweet, review my thread, audit before posting. Not for writing from scratch (use x-post-writer or x-thread-builder).

X Humanizer

Rewrites any tweet or thread to remove AI tells, and audits a finished draft against the 2026 X ranking checklist. Based on Wikipedia's "Signs of AI writing" taxonomy plus X-specific patterns (the lowercase-casual register, the no-fold first line, emoji-as-2-chars, bookmark-bait structure).

When to use

• Before publishing any AI-drafted tweet or thread (rewrite mode)
• Pre-publish review of a finished draft (audit mode, see sub-skills/post-audit.md)
• When a draft feels off and you cannot pinpoint why

Input

Any text: a single tweet, a thread (with or without --- breaks), a reply, or a quote-tweet draft. Optional: target voice samples (the user's past tweets).

Output

• Rewritten text with AI tells removed
• A diff showing what changed and why
• Per-tweet char count (flagging anything over 280, emoji counted as 2)
• Confidence: "human", "mixed", "AI-likely"

Modes

# Default: scrub AI tells and fix X-format issues
x-humanizer <text>

# Forensic only - minimum touch, just kill model leakage
x-humanizer --mode forensic <text>

# Audit - detection-only pass-fail review, no rewrite
# Runs the 2026 X checklist: 280-char fit, first-line hook, hashtag/emoji
# limits, link placement, thread tap-through, goal clarity.
# Returns Blockers + Warnings + suggested fixes. See sub-skills/post-audit.md.
x-humanizer --mode audit <text>

The three passes

Pass 1 - SCRUB (delete or replace)

Apply the tiered catalogs in references/scrub-rules.md:

• Forensic (always on): real model leakage no human types. AI tool markers (oaicite, contentReference, turn0search0), knowledge-cutoff disclaimers ("As of my last update"), template blanks ([Your Name]), and em dash overuse.
• Strict (default on): bad X style regardless of origin. Vocabulary swaps (leverage -> use, delve -> look, harness -> use, foster -> build), filler adverbs (fundamentally, essentially, ultimately), phrase cleanups ("in today's fast-paced world", "game-changer", "deep dive"), and dead closers ("what do you think?").

Pass 2 - BREAK (force burstiness)

• Vary tweet length across a thread. If every tweet is 230-250 chars, break at least one into a short punch tweet.
• Add a sentence fragment where it fits ("Every time.").
• Break perfect parallel structures with one asymmetric line.

Pass 3 - ADD (human fingerprints)

Require where the content allows:

• 1 specific number (replace "many", "a lot", "massive")
• 1 named entity (real person, company, tool)
• the lowercase-casual register if the voice calls for it
• 1 first-person concrete detail

If the input lacks these, ask the user for a number or anecdote. Do not fabricate.

Non-negotiable rules

Global voice rules: see root SKILL.md Voice rules. Additional skill-specific rules:

• Scrubbing is always in scope. When asked to humanize, de-AI, finalize, or publish a tweet or thread, run at least the forensic + strict passes before it ships. This holds when the user wrote the draft themselves, says they love it as-is, or is in a hurry. Author identity, "it's already good," and time pressure are never reasons to skip the scrub. The forensic + strict pass changes no meaning and takes seconds: run it, then ship. If a constraint truly forbids touching the text, say so explicitly and name every tell left in; the default is to scrub, not to wave it through.
• Preserve the user's actual claim and meaning. "Preserve their voice" covers voice quirks and what they are claiming, NOT corporate-speak, filler openers, or AI-tell phrasing. Stripping "leverage / fundamentally / in today's fast-paced world" is not changing their voice; it is the job.
• Never introduce facts that were not in the input. If a number is missing, ask.
• Keep the user's voice quirks (lowercase starts, .. soft pauses).
• Respect the container: do not silently merge a thread into one tweet or split a single tweet into a thread without flagging it.

X-specific tells this skill catches

• A first line that needs the second line to make sense (no fold on X).
• A "tweet" that is actually 320 chars because two emoji pushed it over 280.
• 3+ hashtags, or hashtags mid-sentence.
• An external link in tweet 1 of a thread meant to reach.
• A thread of identical-length tweets (machine rhythm).
• ALL CAPS openers reaching for intensity.
• "A thread:" with no actual promise in the words.

Example

See references/examples.md for worked before/after rewrites.

Files

• SKILL.md - this file (rewrite scrubber + audit-mode entry)
• references/scrub-rules.md - vocabulary swaps and regex by tier
• references/examples.md - worked before/after rewrites for tweets and threads
• references/audit-checklist.md - the pre-publish checklist with thresholds
• sub-skills/post-audit.md - pre-publish audit workflow (detection-only, no rewrite)

Related skills

• x-post-writer - generates single tweets that already pass the humanizer
• x-thread-builder - generates threads that already pass the humanizer