Humanizer
Azure-Samples/interview-coach-agent-framework
Remove signs of AI-generated writing from text. An agent skill from Azure-Samples/interview-coach-agent-framework.
Research networking protocols, standards history, and technology context via Wikipedia - OSPF, BGP, MPLS, 802.1X, VXLAN, and more.
Apache-2.0Auto-check passed
Install Wikipedia Research
$ npx skills add automateyournetwork/netclaw --skill wikipedia-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install automateyournetwork/netclaw wikipedia-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workspace/skills/wikipedia-research .claude/skills/wikipedia-research && rm -rf skills-srcUse ~/.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/
Install the "wikipedia-research" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/wikipedia-research into .claude/skills/wikipedia-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikipedia-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/wikipedia-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add automateyournetwork/netclaw --skill wikipedia-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install automateyournetwork/netclaw wikipedia-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workspace/skills/wikipedia-research .agents/skills/wikipedia-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "wikipedia-research" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/wikipedia-research into .agents/skills/wikipedia-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikipedia-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add automateyournetwork/netclaw --skill wikipedia-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install automateyournetwork/netclaw wikipedia-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workspace/skills/wikipedia-research .cursor/skills/wikipedia-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "wikipedia-research" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/wikipedia-research into .cursor/skills/wikipedia-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikipedia-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/automateyournetwork/netclaw.git --path workspace/skills/wikipedia-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add automateyournetwork/netclaw --skill wikipedia-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install automateyournetwork/netclaw wikipedia-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workspace/skills/wikipedia-research .gemini/skills/wikipedia-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "wikipedia-research" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/wikipedia-research into .gemini/skills/wikipedia-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikipedia-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install automateyournetwork/netclaw wikipedia-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add automateyournetwork/netclaw --skill wikipedia-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/workspace/skills/wikipedia-research .github/skills/wikipedia-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "wikipedia-research" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/wikipedia-research into .github/skills/wikipedia-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikipedia-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add automateyournetwork/netclaw --skill wikipedia-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install automateyournetwork/netclaw wikipedia-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workspace/skills/wikipedia-research .opencode/skills/wikipedia-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "wikipedia-research" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/wikipedia-research into .opencode/skills/wikipedia-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikipedia-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
wikipedia-research- GitHub stars
- 676
- Token cost
- ~2.3k tokens
- SKILL.md length
- 636 words
- Files
- 1
- Skills in repo
- 120
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Research networking protocols, standards history, and technology context via Wikipedia - OSPF, BGP, MPLS, 802.1X, VXLAN, and more.
- Works in 11 steps: Protocol History and Evolution → Standards Evolution and Context → Technology Context for Team Education → …
- Looking up protocol background
- SKILL.md covers How to Call the Tools, Use Cases for Network…, Common Networking Topics and Research Workflow, plus 3 more sections
- Calls python3
What it does
Wikipedia Research is an agent skill from automateyournetwork/netclaw. Research networking protocols, standards history, and technology context via Wikipedia - OSPF, BGP, MPLS, 802.1X, VXLAN, and more. Use when looking up protocol background, researching how a technology works, building reference material for the team, or understanding standards history.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Wikipedia. The repository describes itself as: An AI agent that claws through your network. The licence is Apache-2.0.
When your agent uses it
- Looking up protocol background
- Researching how a technology works
- Building reference material for the team
- Understanding standards history
Example prompts
- “/wikipedia-research”
Requirements
- Python 3
Workflow steps
11 steps, taken from the step headings in SKILL.md.
- Protocol History and Evolution
- Standards Evolution and Context
- Technology Context for Team Education
- Vendor-Neutral Protocol Understanding
- Security Protocol Research
- Search and Discover
- Verify the Page Exists
- Get a Quick Summary
- Dive into Full Content (if needed)
- Gather References for Further Reading
- Explore Related Topics via Categories
What it can do on your machine
Read from SKILL.md and the folder at commit aa90e7d. 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
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
Wikipedia Research loads about 2.3k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 636 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from automateyournetwork/netclaw at commit aa90e7d, republished under its Apache-2.0 licence (© automateyournetwork). 636 words, ~2,343 tokens.
Download SKILL.mdSave it as
.claude/skills/wikipedia-research/SKILL.md (or your agent's skills folder).- name
- wikipedia-research
- description
- Research networking protocols, standards history, and technology context via Wikipedia - OSPF, BGP, MPLS, 802.1X, VXLAN, and more. Use when looking up protocol background, researching how a technology works, building reference material for the team, or understanding standards history.
- license
- Apache-2.0
- user-invocable
- true
Wikipedia Research
How to Call the Tools
The Wikipedia MCP server uses FastMCP with typed input objects. All arguments must use the {"input": {...}} format. Call them via mcp-call:
Search for Wikipedia Pages
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" search_pages '{"input": {"query": "OSPF routing protocol"}}'Search Wikipedia for pages matching a keyword or phrase. Returns a list of matching page titles.
Get a Page Summary
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Open Shortest Path First"}}'Returns a concise summary of the page -- useful for quick context without reading the full article.
Get Full Page Content
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_content '{"input": {"page": "Open Shortest Path First"}}'Returns the complete page content. Use this when you need detailed technical information, history, or implementation specifics.
Get External References
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_references '{"input": {"page": "Open Shortest Path First"}}'Returns external links and references cited on the page. Useful for finding RFCs, vendor documentation, and academic papers.
Get Page Categories
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_categories '{"input": {"page": "Open Shortest Path First"}}'Returns the Wikipedia categories the page belongs to. Helpful for discovering related topics and protocols.
Check if a Page Exists
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" check_page_exists '{"input": {"page": "Open Shortest Path First"}}'Verify that a page exists before attempting to retrieve its content. Use this when unsure of the exact page title.
Use Cases for Network Engineering
1. Protocol History and Evolution
Understand where a protocol came from and why it was designed a certain way.
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_content '{"input": {"page": "Border Gateway Protocol"}}'Extract the history section to learn about BGP's evolution from EGP, the introduction of CIDR support, and the progression through BGP-1 through BGP-4.
2. Standards Evolution and Context
Research how standards have evolved over time -- critical for understanding why certain configurations exist.
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_content '{"input": {"page": "IEEE 802.1X"}}'Learn about the 802.1X standard's development, its role in network access control, and its relationship to RADIUS and EAP.
3. Technology Context for Team Education
Build reference material for team training and knowledge sharing.
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Multiprotocol Label Switching"}}'Get a concise MPLS overview suitable for a team briefing or documentation preamble.
4. Vendor-Neutral Protocol Understanding
Wikipedia provides vendor-neutral explanations that complement vendor-specific documentation.
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_content '{"input": {"page": "Virtual Extensible LAN"}}'Understand VXLAN fundamentals before diving into vendor-specific implementations (Cisco ACI, Arista CVX, etc.).
5. Security Protocol Research
Research security mechanisms and their theoretical foundations.
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" search_pages '{"input": {"query": "MACsec IEEE 802.1AE encryption"}}'Find pages related to MACsec for understanding Layer 2 encryption before implementing it.
Common Networking Topics
Routing Protocols
# OSPF
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Open Shortest Path First"}}'
# BGP
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Border Gateway Protocol"}}'
# IS-IS
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "IS-IS"}}'
# EIGRP
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Enhanced Interior Gateway Routing Protocol"}}'Overlay and Fabric Technologies
# VXLAN
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Virtual Extensible LAN"}}'
# MPLS
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Multiprotocol Label Switching"}}'
# SD-WAN
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" search_pages '{"input": {"query": "SD-WAN software defined wide area network"}}'
# EVPN
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" search_pages '{"input": {"query": "Ethernet VPN EVPN BGP"}}'Security Technologies
# 802.1X
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "IEEE 802.1X"}}'
# RADIUS
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "RADIUS"}}'
# IPsec
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "IPsec"}}'
# MACsec
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "IEEE 802.1AE"}}'Infrastructure Protocols
# Spanning Tree Protocol
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Spanning Tree Protocol"}}'
# DHCP
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Dynamic Host Configuration Protocol"}}'
# DNS
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Domain Name System"}}'
# NTP
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Network Time Protocol"}}'Research Workflow
For thorough protocol research, follow this sequence:
Step 1: Search and Discover
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" search_pages '{"input": {"query": "OSPF link state routing"}}'Step 2: Verify the Page Exists
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" check_page_exists '{"input": {"page": "Open Shortest Path First"}}'Step 3: Get a Quick Summary
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_summary '{"input": {"page": "Open Shortest Path First"}}'Step 4: Dive into Full Content (if needed)
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_content '{"input": {"page": "Open Shortest Path First"}}'Step 5: Gather References for Further Reading
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_references '{"input": {"page": "Open Shortest Path First"}}'Step 6: Explore Related Topics via Categories
python3 $MCP_CALL "python3 -u $WIKIPEDIA_MCP_SCRIPT" get_categories '{"input": {"page": "Open Shortest Path First"}}'Show full SKILL.md (260 more words)Show less
Integration with Other Skills
- rfc-lookup -- Cite Wikipedia for high-level context alongside RFCs for authoritative protocol specifications. Wikipedia explains the "what" and "why"; RFCs define the "how" precisely. Use both together for comprehensive protocol education.
- pyats-routing -- Research a routing protocol on Wikipedia before inspecting its live state on devices
- pyats-security -- Look up security standards (802.1X, MACsec, IPsec) before running security audits
- pyats-troubleshoot -- Understand protocol mechanics from Wikipedia to guide root cause analysis
- gait-session-tracking -- Record Wikipedia research findings as GAIT turns for audit trail
- markmap-viz -- Generate mind maps from protocol knowledge (e.g., BGP attribute hierarchy, OSPF LSA types)
- drawio-diagram -- Create protocol operation diagrams informed by Wikipedia research (e.g., OSPF DR election flow)
Output
Wikipedia tools return text content -- summaries, full articles, reference lists, and category lists. Use this content to:
- Enrich reports with protocol background
- Build training documentation for network engineering teams
- Provide context in change management tickets
- Support root cause analysis with standards knowledge
Failure Behavior
- If a tool call fails with an authentication or connection error, check that
WIKIPEDIA_MCP_SCRIPTis set and valid before assuming a data or device problem. - On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
- For a confirmed read-only call, check connectivity and retry once if appropriate. For any call that changes state or sends a message, a timeout does not prove the action failed: inspect current state or delivery status before retrying, preserve the required approval/change gates, and do not repeat an action whose outcome is unknown.
© automateyournetwork, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in workspace/skills/wikipedia-research of automateyournetwork/netclaw.
Open the folder on GitHubat commit aa90e7d
Compare with similar skills
Wikipedia Research 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Wikipedia Research this skillautomateyournetwork/netclaw | 676 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| HumanizerAzure-Samples/interview-coach-agent-framework | 173 | 38 repos | ~5.8k | Automated safety check: Pass | MIT | |
| AI Copywritermikiarlo3/ai-copywriter | 1.2k | — | ~12k | Automated safety check: Pass | MIT | |
| Renwei Writingorange2ai/renwei-writing | 1.1k | — | ~684 | Automated safety check: Pass | Proprietary | |
| World Cup Predictormikobinbin/2026-world-cup-predictor | 657 | — | ~1.7k | Automated safety check: Notes | None | |
| Humanizer Zh Academicredbaronyyyyy-eng/humanizer-zh-academic | 308 | 1 repos | ~1.8k | Automated safety check: Pass | MIT |
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Related
Works with
Questions about Wikipedia Research
What does Wikipedia Research do?
Research networking protocols, standards history, and technology context via Wikipedia - OSPF, BGP, MPLS, 802.1X, VXLAN, and more. Wikipedia Research is an agent skill from automateyournetwork/netclaw.1X, VXLAN, and more.
When should I use Wikipedia Research?
Wikipedia Research fits situations like: looking up protocol background; researching how a technology works; building reference material for the team; understanding standards history.
How do I install Wikipedia Research in Claude Code?
Run `npx skills add automateyournetwork/netclaw --skill wikipedia-research -a claude-code`. Or copy the skill folder (workspace/skills/wikipedia-research in automateyournetwork/netclaw) into .claude/skills/wikipedia-research in your project. Claude Code loads it when a task matches its description.
How do I install Wikipedia Research in Codex?
Run `npx skills add automateyournetwork/netclaw --skill wikipedia-research -a codex`. Or copy the skill folder (workspace/skills/wikipedia-research in automateyournetwork/netclaw) into .agents/skills/wikipedia-research in your project. Codex loads it when a task matches its description.
Can I use Wikipedia Research 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 automateyournetwork/netclaw --skill wikipedia-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wikipedia-research, .gemini/skills/wikipedia-research, .github/skills/wikipedia-research and .opencode/skills/wikipedia-research in your project.
What does Wikipedia Research need to run?
Going by SKILL.md and its folder, Wikipedia Research needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Wikipedia Research 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 Wikipedia Research 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. Review the folder before installing.
What licence does Wikipedia Research use?
Wikipedia Research is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Wikipedia Research use?
About 2.3k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Wikipedia Research?
Skills that share tags, products or a category with Wikipedia Research: Humanizer (Azure-Samples/interview-coach-agent-framework, 173 stars), AI Copywriter (mikiarlo3/ai-copywriter, 1.2k stars), Renwei Writing (orange2ai/renwei-writing, 1.1k stars) and World Cup Predictor (mikobinbin/2026-world-cup-predictor, 657 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Wikipedia Research?
automateyournetwork (a GitHub user) maintains it in automateyournetwork/netclaw, which has 676 GitHub stars. The repository holds 120 skills in this directory. The repository was last updated on October 9, 2026.
Source: automateyournetwork/netclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.