humanify
Skill0 starsChanged 29 days agoMITView on GitHub
Use when editing AI-drafted or AI-assisted prose to strip out AI writing tells - banned clichés, AI-favored vocabulary, copula substitution, participle-ending sentences, elegant variation, and other patterns that read as machine-generated. Works on any long-form text (articles, posts, emails, docs).
2 other projects use a version of this.
Adopted by
Most recently taken up by
- Xenoneqq/claudified-workflowtheir own version, first seen Sep 24, 2026
- dekoza/oh-my-sloptheir own version, first seen Mar 19, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- dekoza/oh-my-slop★ 4same name
- Xenoneqq/claudified-workflow★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repositoryOne other file it gives its agents.
- humanifySkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
15 rules. About 0 are common, 11 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 24
Run gh api repos/<owner>/<repo>/releases/latest -q .tag_name (strip a leading v) and append Status: up to date, Status: newer version …
- Distinctive: line 31
Read the target text in full: before touching anything - patterns like elegant variation and copula substitution require paragraph-level …
- Very specific: line 34
Read
references/tells.md: before running checks - do not treat this as optional or skip it under time pressure. - Very specific: line 36
If invoked as /humanify --dry-run, stop here and output the dry-run report (see Output Format).
- Distinctive: line 42
Before applying any edit, identify and never alter:
- Distinctive: line 51
If a banned phrase or flagged vocabulary word appears inside protected content, list it in the report as "found in protected content - not …
- Distinctive: line 55
Do not use these, or close variants of them:
- Distinctive: line 80
Test: if replacing the verb with "is" or "has" makes the sentence cleaner, that's the right version
- Distinctive: line 124
Not banned outright - these constructions are legitimate but overused in AI text.
- Distinctive: line 142
Prefer "says" over "notes" or "argues" when simple attribution is accurate
- Distinctive: line 148
Participle-ending check: - no sentences closing with "...contributing to / fostering / ensuring / reflecting [vague outcome]".
- Distinctive: line 150
Elegant variation check: - no synonym chains for the same person or entity within a paragraph (protagonist / main character / central …
- Distinctive: line 151
List variety check: - not every bulleted list has exactly three items.
- Distinctive: line 152
No fragmented headers: - no section that opens with a one-line restatement of its own heading before real content begins (e.g., "## …
- Very specific: line 153
Em-dash check: - if the target voice avoids em-dashes (—), replace with colons, periods, parentheses, or a double-hyphen (--) used as a …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Humanify
Detects and rewrites the linguistic patterns that make text read as AI-generated, without flattening the author's actual voice. This is a redline pass, not a rewrite from scratch: preserve the argument, the structure, and any intentional stylistic choices already present. Only touch what's flagged below.
This skill's checks are English-specific. If the target text is not primarily English, say so plainly in the report instead of returning an empty findings list.
Sections: Arguments · Workflow · Protected Content · Banned Phrases · Use Sparingly · AI Vocabulary · Structural Checks · Output Format
Arguments
See help.md for the full argument list (--dry-run, --voice, --version, --help).
/humanify --help- Do not run any other part of this skill. Read and display the contents ofhelp.md(in this skill's folder) verbatim, then stop./humanify --version- Do not run the workflow. Instead:- Read the installed version from this skill's own manifest (
.claude-plugin/plugin.json,.codex-plugin/plugin.json, orgemini-extension.json, in this folder or the plugin root aboveskills/) if one exists; else the topmost version heading inCHANGELOG.md; else, if.gitexists here, the latest tag (git describe --tags --abbrev=0, strip a leadingv). If no version can be determined, say so and stop. - Print:
humanify v<installed-version> - Best-effort update check: take
owner/repofromgit remote get-url origin(agithub.comURL), else the firsthttps://github.com/<owner>/<repo>URL inREADME.md. If neither resolves orghis unavailable, stop silently. - Run
gh api repos/<owner>/<repo>/releases/latest -q .tag_name(strip a leadingv) and appendStatus: up to date,Status: newer version available (v<latest>)(with agit pullhint for the install directory), orStatus: ahead of latest release (development checkout). On any API failure, print nothing further. - Stop.
- Read the installed version from this skill's own manifest (
Workflow
- Calibrate voice. If
--voicewas provided, read the calibration sample(s) first and note which house-style checks (those labelled house style below) it overrides. If no sample was provided, apply house-style checks at their documented default (flag them) and say so in the report's UNCHANGED section rationale, e.g. "em-dash retained - no --voice sample provided to confirm authorial intent." - Resolve the target document. If the user's invocation or the current conversation already names a specific file or pasted block of text, confirm it before proceeding: "Running humanify against
<path or description>- confirm?" If no target was specified, ask the user which file or pasted text to check. Never guess or scan an entire project for candidate documents. - Read the target text in full before touching anything - patterns like elegant variation and copula substitution require paragraph-level context, not line-by-line editing.
- Check scope and size. If the target text is under ~300 words, or is not prose (a table, changelog, bullet-only outline, code, or structured data), skip document-level checks that require multiple paragraphs to evaluate: punctuation-personality, list-variety, and elegant-variation. State in the report which checks were skipped and why, rather than silently omitting them or forcing an irregularity into short text.
- Identify protected spans (per Protected Content) before collecting findings. Exclude them from edits; still surface them in the report as "found in protected content - not modified."
- Read
references/tells.mdbefore running checks - do not treat this as optional or skip it under time pressure. - Run every check below against the text and collect findings (phrase, location, suggested fix).
- If invoked as
/humanify --dry-run, stop here and output the dry-run report (see Output Format). - Otherwise, apply fixes as targeted, minimal edits to the flagged span only - never a full-document rewrite. Preserve the author's argument and any deliberate stylistic touches (informal asides, humor, first-person process notes - these are features, not bugs, and should never be stripped). After all edits are applied, re-scan the result once to confirm no new banned phrase or AI-vocabulary hit was introduced by the edits themselves. If a second run is invoked on already-processed text, treat it as a fresh pass: only flag remaining issues, and do not add a new punctuation irregularity if the punctuation-personality check already passed in this document.
- Report what changed, grouped by category, in the format described under Output Format.
Protected Content
Before applying any edit, identify and never alter:
- direct quotations and block quotes
- cited or paraphrased source material already under citation
- code blocks and inline code
- URLs
- proper nouns and product names
- legal and compliance boilerplate
If a banned phrase or flagged vocabulary word appears inside protected content, list it in the report as "found in protected content - not modified" rather than silently skipping or silently fixing it.
Banned Phrases
Do not use these, or close variants of them:
Clichéd pivots and openers:
- "Here's where it gets interesting:" / "Here's the uncomfortable truth:" - overused; write a pivot specific to the argument
- "Let's dive in" / "Let's explore" / "Let's break this down" / "Here's what you need to know" / "Without further ado" - signposting; just start doing the thing
- "In today's rapidly changing landscape" / "Evolving landscape" - consultant filler
- "At the end of the day" - exhausted idiom
Weak contrast constructions:
- "It's not just about X, it's about Y" - weak contrast; all variants prohibited
- "Not only...but also" - one of the most reliable AI detection signals; restructure the contrast
- "Not just X, but Y" / "It's not just X, it's Y" - same pattern, different phrasing; all prohibited
- Tailing negations: clipped "...no guessing", "...no wasted motion" fragments tacked onto sentence ends - rewrite as a full clause
Significance inflation:
- "Game-changer" / "game-changing" - overused to meaninglessness
- "Serving as a [noun]" - "serving as a testament", "serving as a beacon", "serving as a reminder" - find a specific image instead
- "Setting the stage for" - inflated transition
- "Key turning point" / "indelible mark" / "deeply rooted" - AI significance puffery
- "[X] underscores the importance of [Y]" - cut or restate directly
- "Moving forward" / "Going forward" - empty transition
Copula substitution (AI avoids "is/are"):
- "Serves as" / "stands as" / "marks" / "represents" when "is" would be simpler - use "is"
- "Boasts" / "features" / "offers" when "has" would be simpler - use "has"
- Test: if replacing the verb with "is" or "has" makes the sentence cleaner, that's the right version
Persuasive authority ceremony:
- "At its core" - ceremony before ordinary points
- "What really matters" / "The real question is" / "Fundamentally" / "The heart of the matter" - same pattern
- These phrases promise depth; the sentence that follows usually doesn't deliver it
Vague attribution:
- "Experts argue" / "Industry reports suggest" / "Observers have noted" / "Some critics argue" / "Research shows" - unnamed authority laundering; cite a real source or cut it
Marketing speak:
- "Unlock" used as a verb for abstract things ("unlock your potential", "unlock value")
- "Vibrant" / "groundbreaking" / "renowned" / "breathtaking" as generic praise - find specific language
- "Commitment to" - PR boilerplate
Throat-clearing:
- "It is worth noting that" / "It is important to note" - just say the thing
- "In conclusion" / "To summarize" before a closing section - the structure signals it; no announcement needed
- "Additionally" / "Furthermore" / "Moreover" as paragraph openers - find a real transition or cut
Condescending confirmatory:
- "actually" - reads as superior and slightly annoying rather than confirmatory; overused in AI-generated text as a rhetorical pivot ("This actually means...", "You actually need to..."). Cut it or restructure the sentence.
False ranges:
- "From X to Y, from A to B" constructions where X and Y aren't on a meaningful scale ("from startup garages to enterprise boardrooms") - list the topics directly
Generic positive conclusions:
- "The future looks bright" / "Exciting times lie ahead" / "This represents a major step in the right direction" - replace with something specific
- "The future belongs to..." - vague futurism; name the actual mechanism instead
- "The path forward is clear." - false certainty; earn the conclusion or cut the claim
- "One thing is certain." - hedge dressed as conviction; state the point directly
Faux-revelation transitions:
- "What this means is..." - just state the implication directly
- "Put simply..." - if it needs saying, just say it simply; don't announce the simplicity
- "In other words..." - restate with new information or cut; don't just rephrase
- "Let that sink in" - tells the reader how to react instead of earning the reaction
- "Here's what struck me most" - manufactured intimacy; describe the specific reaction instead
Prescriptive imperatives:
- "Organizations must..." - generic corporate command; name who, specifically, and what they'd actually do
Use Sparingly
Not banned outright - these constructions are legitimate but overused in AI text. One per document, at most, and only when it's genuinely the sharpest way to make the point:
- "It's not X, it's Y" (unhedged form) - fine occasionally, monotonous as a recurring crutch. (AI tell - always applies.)
- "As X continues to..." - vague temporal filler; prefer a concrete development or date. (AI tell - always applies.)
- "From X to Y" ranges - even when X and Y are on a meaningful scale, overuse flattens the prose; reserve for when the range itself is the point. (AI tell - always applies.)
- Rule-of-three constructions ("adapt, innovate, and transform") - one per document at most; AI defaults to triads reflexively, so vary the count. (House style - overridable by
--voice. Skip this check entirely if the calibration sample shows the author uses triads deliberately and repeatedly.) - Symmetrical contrasts ("Technology creates possibilities. People create value.") - punchy the first time, formulaic the third; don't build a document's structure around repeating the pattern. (House style - overridable by
--voice. Skip this check entirely if the calibration sample shows the author uses symmetrical contrast as a signature move.)
AI Vocabulary - Words to Actively Avoid
These words appear at significantly higher rates in AI-generated text. Flag any occurrence, but confirm it is being used as vague praise or filler rather than as a technical term of art (e.g. "significantly" in a statistics context, "robust" in an engineering-tolerance context, "comprehensive" as a formal document classification) before replacing it. When in doubt, flag it in the report as a judgment call rather than auto-replacing.
Core AI tells (highest priority): vibrant, crucial, significantly, testament, delve, showcase, tapestry, nuanced, multifaceted, pivotal, transformative, robust (as vague praise), leveraging (as filler), comprehensive, innovative (as generic praise), meticulous/meticulously, intricate/intricacies
Second tier: see references/tells.md (read it in Workflow step 5; it is not optional).
Verb attribution tells:
- Prefer "says" over "notes" or "argues" when simple attribution is accurate
- "Notes" over "says" is an AI signature; humans say "says"
Structural Checks
- Copula check - no "serves as / stands as / marks / represents" where "is" would be cleaner. (AI tell - always applies.)
- Participle-ending check - no sentences closing with "...contributing to / fostering / ensuring / reflecting [vague outcome]". (AI tell - always applies.)
- Punctuation personality check - the document should contain at least one intentional irregularity (fragment, ellipsis, parenthetical aside); grammatically flawless text is itself an AI tell. (House style - overridable by
--voice. Skip this check entirely if the calibration sample shows the author writes uniformly formal, irregularity-free prose.) - Elegant variation check - no synonym chains for the same person or entity within a paragraph (protagonist / main character / central figure / hero); repeat the noun or use a pronoun. (AI tell - always applies.)
- List variety check - not every bulleted list has exactly three items; vary lengths deliberately (two, four, five, or none). (AI tell - always applies.)
- No fragmented headers - no section that opens with a one-line restatement of its own heading before real content begins (e.g., "## Performance" followed by "Speed matters." followed by actual content - cut the restatement). (AI tell - always applies.)
- Em-dash check - if the target voice avoids em-dashes (—), replace with colons, periods, parentheses, or a double-hyphen (
--) used as a deliberate stylistic choice. (House style - overridable by--voice. Skip this check entirely if the author's established voice uses em-dashes freely.)
Output Format
See references/report-format.md for the edit-mode and dry-run report templates; read it before producing the final report.
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