Review editorial phrase patterns and suggest contextual alternatives; legacy name does not imply authorship detection.
$ npx skills add jmagly/aiwg --skill ai-pattern-detection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jmagly/aiwg ai-pattern-detection --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/jmagly/aiwg.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agentic/code/plugins/writing/skills/ai-pattern-detection .claude/skills/ai-pattern-detection && 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 "ai-pattern-detection" agent skill from https://github.com/jmagly/aiwg/tree/main/agentic/code/plugins/writing/skills/ai-pattern-detection into .claude/skills/ai-pattern-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pattern-detection", 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/jmagly/aiwg/tree/main/agentic/code/plugins/writing/skills/ai-pattern-detectionType 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 jmagly/aiwg --skill ai-pattern-detection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jmagly/aiwg ai-pattern-detection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jmagly/aiwg.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agentic/code/plugins/writing/skills/ai-pattern-detection .agents/skills/ai-pattern-detection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-pattern-detection" agent skill from https://github.com/jmagly/aiwg/tree/main/agentic/code/plugins/writing/skills/ai-pattern-detection into .agents/skills/ai-pattern-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pattern-detection", 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 jmagly/aiwg --skill ai-pattern-detection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jmagly/aiwg ai-pattern-detection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jmagly/aiwg.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agentic/code/plugins/writing/skills/ai-pattern-detection .cursor/skills/ai-pattern-detection && 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 "ai-pattern-detection" agent skill from https://github.com/jmagly/aiwg/tree/main/agentic/code/plugins/writing/skills/ai-pattern-detection into .cursor/skills/ai-pattern-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pattern-detection", 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/jmagly/aiwg.git --path agentic/code/plugins/writing/skills/ai-pattern-detection--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 jmagly/aiwg --skill ai-pattern-detection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jmagly/aiwg ai-pattern-detection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jmagly/aiwg.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agentic/code/plugins/writing/skills/ai-pattern-detection .gemini/skills/ai-pattern-detection && 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 "ai-pattern-detection" agent skill from https://github.com/jmagly/aiwg/tree/main/agentic/code/plugins/writing/skills/ai-pattern-detection into .gemini/skills/ai-pattern-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pattern-detection", 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 jmagly/aiwg ai-pattern-detectionInstalls 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 jmagly/aiwg --skill ai-pattern-detection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jmagly/aiwg.git skills-src && mkdir -p .github/skills && cp -r skills-src/agentic/code/plugins/writing/skills/ai-pattern-detection .github/skills/ai-pattern-detection && 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 "ai-pattern-detection" agent skill from https://github.com/jmagly/aiwg/tree/main/agentic/code/plugins/writing/skills/ai-pattern-detection into .github/skills/ai-pattern-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pattern-detection", 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 jmagly/aiwg --skill ai-pattern-detection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jmagly/aiwg ai-pattern-detection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jmagly/aiwg.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agentic/code/plugins/writing/skills/ai-pattern-detection .opencode/skills/ai-pattern-detection && 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 "ai-pattern-detection" agent skill from https://github.com/jmagly/aiwg/tree/main/agentic/code/plugins/writing/skills/ai-pattern-detection into .opencode/skills/ai-pattern-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pattern-detection", 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.
ai-pattern-detectionReview editorial phrase patterns and suggest contextual alternatives; legacy name does not imply authorship detection.
AI Pattern Detection is an agent skill from jmagly/aiwg. Review editorial phrase patterns and suggest contextual alternatives; legacy name does not imply authorship detection. Use when reviewing or editing content, or when the user mentions authenticity or natural voice.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/quick-patterns.md` and `scripts/pattern_scanner.py`).
The repository describes itself as: Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor ·… The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit dda238f. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
AI Pattern Detection loads about 1.5k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 673 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.
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.
The full file from jmagly/aiwg at commit dda238f, republished under its MIT licence (© jmagly). 673 words, ~1,534 tokens.
.claude/skills/ai-pattern-detection/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Review phrase patterns and suggest edits that fit the author’s intent and audience. This skill does not detect authorship or certify naturalness.
These are editorial preferences, not evidence of human or AI authorship. Apply only the requirements chosen by the author or project; other phrase and structure suggestions are advisory. Preserve quotations, code, literal terms, inventories, checklists, questionnaires, intentional punctuation, necessary uncertainty and domain terminology. A flagged phrase can be retained with a reason. Zero highlights and numeric scores are not publication gates. Never invent metrics, experiences, opinions or failures to satisfy a style marker.
These phrases can be uninformative in some contexts; none identifies content as AI-generated:
Review frequency in the document and language; there is no universal acceptable ratio for these words:
| Instead of | Use |
|---|---|
| "plays a crucial role" | "handles" / "manages" / "does" |
| "seamlessly integrates" | "works with" / "connects to" |
| "cutting-edge" | "new" / "recent" / specific tech name |
| "Moreover," | [just start the next sentence] |
| "comprehensive solution" | [specific description of what it does] |
| "dramatically improves" | [specific metric: "reduces latency by 40%"] |
| "robust" | "handles X requests/second" / "99.9% uptime" |
Use these only when relevant and supported by the supplied material:
When generating or reviewing content:
The platform seamlessly integrates cutting-edge technology to dramatically improve workflow efficiency. Moreover, it plays a crucial role in enabling next-generation solutions. In conclusion, this comprehensive approach transforms how teams collaborate.
The platform connects to existing tools through standard APIs. Initial tests show 40% faster task completion. Teams report fewer context switches between applications.
The Python scripts/pattern_scanner.py is a legacy regex scanner, not the contextual diagnostic implementation. It:
authenticity_score (0–100) and grade for compatibility, with a deprecation notice; neither measures authorship or publication readinessFor contextual programmatic review, use WritingValidationEngine.diagnose(content, options) or the exported diagnoseWriting API. Results include UTF-16 spans, context, explanations and reasoned exceptions. They carry publicationGate: false. The Python scanner does not implement these context or exception fields.
This skill works with:
/writing-validator command for explicit validationwriting-validator agent for deep analysis© jmagly, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts, references) in agentic/code/plugins/writing/skills/ai-pattern-detection of jmagly/aiwg.
Open the folder on GitHubat commit dda238f
AI Pattern Detection 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 |
|---|---|---|---|---|---|---|
| AI Pattern Detection this skilljmagly/aiwg | 220 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Detecting Anomalous Authentication Patternsmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~7.5k | Automated safety check: Pass | Apache-2.0 | |
| Detecting Beaconing Patterns With Zeekmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~662 | Automated safety check: Pass | Apache-2.0 | |
| Golang Patternsaffaan-m/ECC | 275k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Kotlin Exposed Patternsaffaan-m/ECC | 275k | 4 repos | ~5.5k | Automated safety check: Pass | MIT | |
| Dotnet Patternsaffaan-m/ECC | 275k | 1 repos | ~2.3k | Automated safety check: Pass | MIT |
mukul975/Anthropic-Cybersecurity-Skills
Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying…
mukul975/Anthropic-Cybersecurity-Skills
Performs statistical analysis of Zeek conn.log connection intervals to detect C2 beaconing patterns.
affaan-m/ECC
Go-specific design patterns and best practices including functional options, small interfaces, dependency injection, concurrency patterns, error handling, and package organization.
affaan-m/ECC
JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.
affaan-m/ECC
Idiomatic C and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.
affaan-m/ECC
FastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness.
jmagly/aiwg
Apply a voice profile to transform content. An agent skill from jmagly/aiwg.
jmagly/aiwg
Run mutation testing to validate test quality beyond code coverage.
jmagly/aiwg
Configure TDD enforcement via pre-commit hooks and CI coverage gates.
jmagly/aiwg
Detect and use llms.txt files for LLM-optimized documentation.
jmagly/aiwg
Detect project type, AIWG framework state, team configuration, and active work to summarize status and recommend next actions
jmagly/aiwg
Manage artifact metadata, versioning, ownership, and review history across the SDLC lifecycle
Review editorial phrase patterns and suggest contextual alternatives; legacy name does not imply authorship detection. AI Pattern Detection is an agent skill from jmagly/aiwg. Review editorial phrase patterns and suggest contextual alternatives; legacy name does not imply authorship detection.
AI Pattern Detection fits situations like: editing content; the user mentions authenticity.
Run `npx skills add jmagly/aiwg --skill ai-pattern-detection -a claude-code`. Or copy the skill folder (agentic/code/plugins/writing/skills/ai-pattern-detection in jmagly/aiwg) into .claude/skills/ai-pattern-detection in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jmagly/aiwg --skill ai-pattern-detection -a codex`. Or copy the skill folder (agentic/code/plugins/writing/skills/ai-pattern-detection in jmagly/aiwg) into .agents/skills/ai-pattern-detection in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jmagly/aiwg --skill ai-pattern-detection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-pattern-detection, .gemini/skills/ai-pattern-detection, .github/skills/ai-pattern-detection and .opencode/skills/ai-pattern-detection in your project.
Going by SKILL.md and its folder, AI Pattern Detection needs Python for the scripts in its folder. Our summary lists: Python 3.
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.
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.
AI Pattern Detection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.1k 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 298 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AI Pattern Detection: Detecting Anomalous Authentication Patterns (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Detecting Beaconing Patterns With Zeek (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Golang Patterns (affaan-m/ECC, 275k stars) and Kotlin Exposed Patterns (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jmagly (a GitHub user) maintains it in jmagly/aiwg, which has 220 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 5, 2026.
Source: jmagly/aiwg on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
