2026 De-AI-Flavor Writing Skills Rankings
Step-by-step approach to inspect, run and compare de-AI-flavor and writing-editing open-source projects (e.g., humanizer, Humanizer-zh, stop-slop) by checking their GitHub READMEs, installing required dependencies, running examples and producing rewrite comparison samples. Deliverables: example rewrites, dependency list and reproduction notes. Prerequisites: GitHub access, runtime environment per repo (Python/Node or model/API access). Verify each repo's language support, model dependencies and license.
Image Analysis
Image 1 — Factual and readable contents (itemized record)
Visible text (transcribed line-by-line or in blocks):
- Small top-left text: 李守一 — Demon
- Main title: 2026 Writing Skills Rankings
- The word “Skills” is green, other words are black
- Subtitle (one line below main title): Top10 · De-AI-Flavor / Editing / Style / Longform Writing
- Black rounded label: Ranked by repository total Stars | As of 2026.10.15
Ranking list (visual order, shows rank number, name, and star count on the right):
1. #1 humanizer (right: ★ 57,045)
2. #2 nuwa-skill (right: ★ 34,434)
3. #3 Humanizer-zh (right: ★ 19,705)
4. #4 stop-slop (right: ★ 18,031)
5. #5 shuorenhua (right: ★ 2,111)
6. #6 ai-flavor-remover (right: ★ 1,180)
7. #7 De-AI-Prompt-Enhancer (right: ★ 874)
8. #8 writing-agent (right: ★ 434)
9. #9 easywrite (right: ★ 3)
10. #10 yotta-humanize (right: ★ 3)
Interface/chart observable features (factual description):
- The page background is a light beige/gray gradient.
- Title area shows “李守一 — Demon” at top-left; the title is centered slightly left.
- Each ranking item appears as a white rounded card or row with a slight shadow.
- Each row has a colored circular rank badge on the left (a # and number); badge colors vary by rank (e.g., #1 red, #2 purple, #3 blue, #4 green, #5 yellow, etc.).
- After the project name there is a light progress/length bar indicating relative value; the bar color matches or is close to the badge color.
- Progress bar lengths decrease from #1 downward; #1’s bar nearly fills the row, #2 is shorter, #3/#4 show noticeable differences, and #5 onward are much shorter.
- Gold star icon precedes the star count on the right.
- Overall design is a card-style ranked list.
Unclear or uncertain items (marked “unclear” or “possibly”):
- The connector between “李守一 — Demon” (top-left) is very small; read as “—” (em dash) with slight uncertainty; overall readable as “李守一 — Demon”.
- Subtitle separators are interpuncts (·); read as “Top10 · De-AI-Flavor / Editing / Style / Longform Writing”; wording like “De-AI-Flavor” is interface text with no ambiguity in the image.
- Very small gray auxiliary text inside rows (if present) is unreadable in the image.
Inferences (explicitly marked as inferences, not direct image evidence):
- The label “Ranked by repository total Stars | As of 2026.10.15” likely indicates the ranking is based on accumulated Stars on source code repositories (e.g., GitHub) with the cutoff date 2026-10-15.
- The listed names (humanizer, nuwa-skill, etc.) likely correspond to Skills or repository/project names for writing-related tools or plugins.
- Progress bar lengths probably visualize relative Star counts (longer bar = more Stars) to show gaps between ranks.
- “李守一 — Demon” at top-left likely denotes the author or publisher of this ranking page/graphic.
- Subtitle keywords (De-AI-Flavor / Editing / Style / Longform Writing) likely indicate the functional focus of the listed Skills.
Additional factual notes:
- The ranking is Top10 and shows star counts ranging from 57,045 down to 3.
- #9 and #10 both show star counts of 3.
- The image does not show interactive controls (filters, pagination, or search); only the title, label and ranking list are visible.
SkillPI Creation Analysis
Purpose:
- The image and summary present a Top10 list of open-source Skills/projects focused on de-AI-flavor, editing, style adjustment and longform writing. It functions as an index for locating candidate tools for humanization/detector/rewriting tasks.
Image evidence highlights:
- The image explicitly lists project names and star counts (e.g., humanizer: 57,045; nuwa-skill: 34,434) and includes a label stating “Ranked by repository total Stars | As of 2026.10.15”, which is a visible element indicating the ranking basis and cutoff date.
- Visual elements (cards, badges, progress bars, star icons) are interface features used to compare projects’ relative prominence.
Practical steps to inspect and compare the listed Skills (general, based on available repo links; exact commands and dependencies must be taken from each repository's README):
1) Open each GitHub repository listed in the summary (for example: github.com/blader/humanizer, github.com/op7418/Humanizer-zh, github.com/hardikpandya/stop-slop).
2) Read the repository README, usage examples and any provided demo scripts to determine each project's stated function (e.g., detect AI traces, rewrite while preserving intent, Chinese-specific humanization, etc.) and input/output formats.
3) Follow the repository's installation instructions to set up required dependencies and run provided examples; if a repo depends on external models or APIs, prepare the necessary credentials or model files according to that repo's documentation.
4) Create a common test set (e.g., samples exhibiting translationese, templated phrasing, formulaic structures) and run each tool to collect rewrite or detection outputs for side-by-side comparison.
5) Compile a comparison report covering readability, factual/term preservation, style naturalness, explainability and practicality (ease of installation and use), noting limitations for each project.
Reproduction prerequisites:
- Ability to access and clone GitHub repositories (network access and permissions).
- Configure runtime environments per each repository’s README (may require Python, Node, specific packages, model weights, or API keys depending on the project).
- A test corpus and evaluation criteria to produce meaningful comparison samples.
Items to verify before attempting reproduction:
- The languages each repository supports (whether Chinese is explicitly supported) and expected input/output formats.
- Whether the project requires specific large language models, proprietary APIs, or paid services and how to obtain/configure those dependencies.
- Licensing and usage restrictions for each repository (commercial vs. non-commercial use).
- Whether README contains runnable examples or if additional integration code is required.
- Whether the star counts and other metadata shown in the image match the repositories’ current states (image notes “As of 2026.10.15” — verify for updates).
Preserved links from the source (for verification):
- github.com/blader/humanizer
- github.com/alchaincyf/nuwa-skill
- github.com/op7418/Humanizer-zh
- github.com/hardikpandya/stop-slop
- github.com/MrGeDiao/shuorenhua
- github.com/hylarucoder/ai-flavor-remover
- github.com/OUBIGFA/De-AI-Prompt-Enhancer-Writer-Booster-SKILL
- github.com/dongbeixiaohuo/writing-agent
- github.com/Florent2025/easywrite
- github.com/YottaMeta/yotta-humanize
Summary of actionable outcome (verifiable):
- The source provides a shortlist of candidate open-source projects for de-AI-flavor and writing-style tasks. To reproduce or compare behaviors, inspect each repository's documentation and follow its installation and example-running instructions rather than assuming universal commands or environments.