humanpen
Humanize document files with HumanPen to lower their AI-detection score.
Skill by humanpen
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/humanpen-humanpen
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, spreadsheets, presentations, frontend
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 3
api.humanpen.net· found in codecodeload.github.com· found in install commandhumanpen.net· found in code
Files it touches
~/.claude/skills/humanpen
What's inside
- Skill name
humanpen- Description
- Humanize document files with HumanPen to lower their AI-detection score. Rewrite a whole .docx/.pptx, or only the passages a Turnitin/iThenticate AI report flagged, while keeping every fact, number, citation, table and formula intact. Also converts citations to one style (APA, MLA, IEEE, GB/T 7714), condenses a document to a word budget, and translates while preserving layout. Use when the user points at a document FILE (.docx/.pptx; translate also takes .pdf/.xlsx/.epub/.html/.txt) or such an AI report and wants any of these; not for text pasted into chat.
- License
- Apache-2.0
- Instructions
- 83 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- name: "humanpen" does not match folder "humanpen-skill"
Files (11)
- marketplace.json · .claude-plugin/
- plugin.json · .claude-plugin/
- .env.example
- .gitignore
- LICENSE
- README.ja.md
- README.md
- README.zh-CN.md
- SKILL.md
- check_api.py · scripts/
- humanpen.py · scripts/
SKILL.md (first lines)
# HumanPen A document-level AI humanizer. Point it at a document file and it uploads the file, waits for the job, and writes the result next to the source — you get a path back, **never the document's contents**. Formatting, tables, images, citations, and formulas survive intact. **Every job spends the account's credits. State the cost and get the user's agreement before running any job command.** Per 1,000 words processed: humanize 100 credits, fix-citations 5, condense 20, translate 10, charged only on the words actually processed, with a 10-credit minimum per job; failed or cancelled jobs cost nothing. ## Setup ```bash export HUMANPEN_API_KEY=hp_... # create one at https://humanpen.net/settings/api-keys ``` New accounts get 100 free credits at https://humanpen.net. Without a key every command fails with instructions to get one. ## Commands Run from this skill's directory; `python3` and nothing else is needed. `--help` on any command lists its flags. Add `-o PATH` to choose where the result lands (default `<name>-polished.docx` beside the source). ### Humanize — the main operation Lower AI-detection signals on a `.docx` / `.pptx`. Three ways to scope it: ```bash # 1. Whole document. --strategy: balanced | aggressive python3 scripts/humanpen.py humanize paper.docx --strategy balanced # 2. Only the passages a Turnitin / iThenticate report flagged — the rest is left untouched python3 scripts/humanpen.py humanize paper.docx --report turnitin.pdf # 3. Continue a finished job for FREE (once per job): re-runs its still-flagged # passages against a fresh report. Pass the job_id that humanize returned. python3 scripts/humanpen.py free-rehumanize <job_id> --report new-turnitin.pdf ``` Optional length control — EXPERIMENTAL, a word limit noticeably weakens AI-rate reduction, so skip it unless a length is required: ```bash python3 scripts/humanpen.py humanize paper.docx --min-words 1500 --max-words 1800 # Per-passage budgets for the report's flagged passages: python3 scripts/humanpen.py humanize paper.docx --report turnitin.pdf --segments-file budgets.json ``` ### The other three operations ```bash # Convert every citation + the reference list to one style. --style: apa7 | # mla9 | harvard | chicago_author_date | chicago_notes | ieee | vancouver | # gbt7714 | gbt7714_author_year | ama | acs | oscola python3 scripts/humanpen.py fix-citations paper.docx --style apa7 # Shorten the whole document to a word budget python3 scripts/humanpen.py condense paper.docx --max-words 4000 # Translate, keeping layout, tables and formulas. --to: zh | zh-tw | en | ja | # ko | es | fr | pt | ru | de | pl | it (--source-lang: same codes, default auto) python3 scripts/humanpen.py translate paper.docx --to zh ``` ### Read a report · resume a job · check credits ```bash # A Turnitin / iThenticate report: overall AI %, and the flagged passages python3 scripts/humanpen.py report turnitin.pdf # Pick a running job back up (optionally download its result); show the balance python3 scripts/humanpen.py status <job_id> --download paper.docx python3 scripts/humanpen.py balance ``` ## Reading the output A finished job prints JSON. Report its `output` (the result path) and `credits_charged` (the cost) to the user. **Do not read the produced file back to summarise it** unless asked — it is a full document, and the point of the path is that its contents stay out of the conversation. `report` and a finished humanize print `ai_percent` as a number — or `null` when the report shows `*`. Turnitin prints `*` whenever AI writing is **under 20%**; it will not quantify that band, because of false positives. So `null` is usually good news, not a missing result. **It is never zero**: report it as "under 20%, which is where Turnitin stops printing a number", never "0% AI". ## Worth knowing - **Formats.** humanize takes `.docx` / `.pptx`; fix-citations and condense take `.docx`; translate additionally takes `.pdf`, `.xlsx`, `.pptx`, `.epub`, `.html` and `.txt`. - **Minutes, not seconds.** The command waits and prints progress to stderr. Interrupting it does **not** cancel the job — `status <job_id>` picks it back up. - **A second pass is the plan, not a failure — and it is free.** If a detector still flags the result, `free-rehumanize <job_id>` with a fresh report rewrites only the still-flagged passages, at no credit cost (once per job, with a daily cap). Keep `balanced`; no need to escalate to `aggressive`. - **Result files are kept 7 days**, then deleted; the job record stays.
From humanpen/humanpen-skill, Apache-2.0.
Signals
- Stars
- 88
- Forks
- 0
- Open issues
- 0
- Last commit
- Oct 24, 2026 (4 days ago)
- Last release
- Oct 24, 2026 (4 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/humanpen/humanpen-skill
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from humanpen
Cite this page
humanpen skill. Agent Mart. https://agentmart.dev/skills/humanpen-humanpen (last updated 2026-10-24)