Agent skill

Structural Humanizer

by NulightJens in NulightJens/humanizer-stack

Remove the discourse-level (structural) signs of AI writing that survive surface editing: stated lessons and moral-of-the-story closers, tidy single-track arcs, embodied-emotion performance ("chest…

Custom licenceAuto-check passedWriting & Content

Install Structural Humanizer

skills CLI
$ npx skills add NulightJens/humanizer-stack --skill structural-humanizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NulightJens/humanizer-stack structural-humanizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NulightJens/humanizer-stack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/structural-humanizer .claude/skills/structural-humanizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
structural-humanizer
GitHub stars
332
Token cost
~2.2k tokens
SKILL.md length
1,160 words
Files
4 (incl. scripts, references)
Skills in repo
1
Repo updated
First seen
Licence
Custom licence

At a glance

Remove the discourse-level (structural) signs of AI writing that survive surface editing: stated lessons and moral-of-the-story closers, tidy single-track arcs, embodied-emotion performance ("chest…

  • Works in 6 steps: Theme explicitness (the biggest tell) → Structural tidiness → Emotion mode (inverts "show don't tell") → …
  • Tasks that involve Humanizing AI text
  • SKILL.md covers The trap (same trap as…, The six audits, Workflow and Intervention menu (rotate,…, plus 3 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Structural Humanizer is an agent skill from NulightJens/humanizer-stack. Remove the discourse-level (structural) signs of AI writing that survive surface editing: stated lessons and moral-of-the-story closers, tidy single-track arcs, embodied-emotion performance ("chest tightened"), vague allusions instead of named references, unbroken linear structure, and shape convergence across pieces. Grounded in the StoryScope study (Russell et al. 2026): narrative structure alone detects AI text at 93.2% F1, and professional stylistic rewriting moved detection only 1.6 points. Use as the SECOND…

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/genre-calibration.md`, `references/storyscope-findings.md` and `scripts/structural_scan.py`).

It sits in Writing & Content, covering Humanizing AI text. The repository describes itself as: Two-pass pipeline for removing AI writing tells from outward-facing text: a surface pass plus a structural pass grounded in the StoryScope study. Packaged as Claude Code Skills….

When your agent uses it

  • Tasks that involve Humanizing AI text

Example prompts

  • “chest tightened”
  • “humanize”
  • “de-slop”
  • “/structural-humanizer”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Theme explicitness (the biggest tell)
  2. Structural tidiness
  3. Emotion mode (inverts "show don't tell")
  4. Reference specificity
  5. Reader engagement
  6. Shape convergence

What it can do on your machine

Read from SKILL.md and the folder at commit 13f5c02. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Structural Humanizer loads about 2.2k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 210 tokens; SKILL.md has 1,160 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~210
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,160 words (~2,245 tokens).

“Read this first. The humanizer skill fixes words: "delve", em dashes, rule of three, negative parallelism. This skill fixes what survives that pass: the structure. The two are different jobs, run in sequence. Surface pass first, structural pass second.”

— opening of SKILL.md by NulightJens, Custom licence
name
structural-humanizer

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts, references) in skills/structural-humanizer of NulightJens/humanizer-stack.

  • SKILL.md
  • references/genre-calibration.md
  • references/storyscope-findings.md
  • scripts/structural_scan.py

Open the folder on GitHubat commit 13f5c02

Compare with similar skills

Structural Humanizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Structural Humanizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Structural Humanizer this skillNulightJens/humanizer-stack332—~2.2kAutomated safety check: PassCustom licence
HumanizerAzure-Samples/interview-coach-agent-framework17237 repos~5.8kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
User-Facing Text Cleanupguillaumemeyer/watermarks-remover24k—~3.5kAutomated safety check: PassMIT
Install Anti Sloptrycompai/crm11k1 repos~881Automated safety check: PassMIT
Stop SlopXe/site7328 repos~423Automated safety check: PassMIT

Similar skills

  • Humanizer

    Azure-Samples/interview-coach-agent-framework

    Official

    Remove signs of AI-generated writing from text. An agent skill from Azure-Samples/interview-coach-agent-framework.

    172 GitHub starsUsed in 37 repos~5.8k tokens
    Writing & ContentAuto-check passed
  • Avoid AI Writing

    conorbronsdon/avoid-ai-writing

    Audit and rewrite content to remove AI writing patterns ("AI-isms").

    4.9k GitHub starsUsed in 3 repos~8.1k tokens
    Writing & ContentAuto-check passed
  • User-Facing Text Cleanup

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    Audits prose for invisible Unicode characters and rewrites it while keeping facts, citations, code and required disclosures unchanged and the writer's voice intact.

    24k GitHub stars~3.5k tokensUpdated 2 days ago
    Writing & ContentAuto-check passed
  • Install Anti Slop

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    Install and configure the anti-slop Oxlint plugin in a local TypeScript or JavaScript repository.

    11k GitHub starsUsed in 1 repo~881 tokens
    Writing & ContentAuto-check passed
  • Stop Slop

    Xe/site

    Remove AI writing patterns from prose. An agent skill from Xe/site.

    732 GitHub starsUsed in 8 repos~423 tokens
    Writing & ContentAuto-check passed
  • Korean AI-Text Humanizer

    epoko77-ai/im-not-ai

    Diagnoses and rewrites Korean text that reads as AI-generated, fixing translationese and mechanical parallelism across 85 patterns in 10 categories, with light to heavy passes.

    5.9k GitHub starsUsed in 1 repo~1.2k tokens
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Questions about Structural Humanizer

What does Structural Humanizer do?

Remove the discourse-level (structural) signs of AI writing that survive surface editing: stated lessons and moral-of-the-story closers, tidy single-track arcs, embodied-emotion performance ("chest…. Structural Humanizer is an agent skill from NulightJens/humanizer-stack. Remove the discourse-level (structural) signs of AI writing that survive surface editing: stated lessons and moral-of-the-story closers, tidy single-track arcs, embodied-emotion performance ("chest tightened"), vague allusions instead of named references, unbroken linear structure, and shape convergence across pieces.

When should I use Structural Humanizer?

Structural Humanizer fits situations like: tasks that involve Humanizing AI text.

How do I install Structural Humanizer in Claude Code?

Run `npx skills add NulightJens/humanizer-stack --skill structural-humanizer -a claude-code`. Or copy the skill folder (skills/structural-humanizer in NulightJens/humanizer-stack) into .claude/skills/structural-humanizer in your project. Claude Code loads it when a task matches its description.

How do I install Structural Humanizer in Codex?

Run `npx skills add NulightJens/humanizer-stack --skill structural-humanizer -a codex`. Or copy the skill folder (skills/structural-humanizer in NulightJens/humanizer-stack) into .agents/skills/structural-humanizer in your project. Codex loads it when a task matches its description.

Can I use Structural Humanizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NulightJens/humanizer-stack --skill structural-humanizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/structural-humanizer, .gemini/skills/structural-humanizer, .github/skills/structural-humanizer and .opencode/skills/structural-humanizer in your project.

What does Structural Humanizer need to run?

Going by SKILL.md and its folder, Structural Humanizer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Structural Humanizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Structural Humanizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Structural Humanizer use?

Structural Humanizer has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Structural Humanizer use?

About 2.2k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Structural Humanizer?

Skills that share tags, products or a category with Structural Humanizer: Humanizer (Azure-Samples/interview-coach-agent-framework, 172 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars) and Install Anti Slop (trycompai/crm, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Structural Humanizer?

NulightJens (a GitHub user) maintains it in NulightJens/humanizer-stack, which has 332 GitHub stars. The repository was last updated on July 24, 2026.

Source: NulightJens/humanizer-stack on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.