Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →brycewang-stanford/ai-writing-humanizer
Remove AI-generated patterns to produce natural, authentic academic writing
Passed 19 of 22 test cases with the skill, and 15 of 22 without it.
and 1 more in the full report
4 fixed15 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the multi-step AI-assisted writing revision workflow, which two specific steps explicitly involve reading the draft aloud?
| Checked | Without skill | With skill |
|---|---|---|
| Step 2 (after initial draft) and Step 8 (final check) are identified as the read-aloud steps. | Missed | Passed |
The instructions your model reads when the skill loads.
A skill for identifying and removing characteristic patterns of AI-generated text to produce natural, authentic academic writing. Designed for researchers who use AI tools for drafting and want to ensure the final output reads as genuine scholarly prose.
AI-generated text frequently overuses certain words and phrases:
def identify_ai_patterns(text: str) -> dict:
"""
Scan text for common AI-generated writing patterns.
Returns a report of detected patterns with suggested replacements.
"""
overused_phrases = {
# Hedging/filler phrases AI overuses
'it is important to note that': 'Note that',
'it is worth mentioning that': '[delete or rephrase]',
'it should be noted that': '[delete or rephrase]',
'in the realm of': 'in',
'in the context of': 'in / for / regarding',
'a testament to': '[rephrase with specific evidence]',
'the landscape of': '[delete -- be specific]',
'a nuanced understanding': '[delete or specify what nuance]',
'shed light on': 'clarified / revealed / explained',
'delve into': 'examined / analyzed / investigated',
'furthermore': '[vary: also, additionally, moreover, or restructure]',
'moreover': '[vary: in addition, also, or restructure]',
'utilizing': 'using',
'leverage': 'use / apply / employ',
'facilitate': 'enable / support / help',
'a myriad of': 'many / numerous / various',
'plays a crucial role': 'is important for / contributes to',
'in conclusion': '[often unnecessary -- just conclude]',
'overall': '[often unnecessary filler]',
'comprehensive': '[usually vague -- be specific about scope]',
'robust': '[overused -- specify what makes it strong]',
test cases passed, vs 15 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.