Security Review Skill Creator
xwtro0tk1t-cloud/harness
生成安全审计 skill。两种模式:(1) 项目模式——根据项目文档生成定制化审计 skill;(2) 通用模式——仅指定语言+框架,从参考资料库生成通用审计 skill。当用户想创建安全审计 skill、生成审计规则、或提到"生成安全审计skill"、"创建code review skill"、"生成 Java 审计 skill"时使用。
Create new skills, modify and improve existing skills for JavaClaw.
$ npx skills add ClawRunr/JavaClaw --skill skill-creator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ClawRunr/JavaClaw skill-creator --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/ClawRunr/JavaClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workspace/skills/skill-creator .claude/skills/skill-creator && 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 "skill-creator" agent skill from https://github.com/ClawRunr/JavaClaw/tree/main/workspace/skills/skill-creator into .claude/skills/skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-creator", 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/ClawRunr/JavaClaw/tree/main/workspace/skills/skill-creatorType 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 ClawRunr/JavaClaw --skill skill-creator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ClawRunr/JavaClaw skill-creator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawRunr/JavaClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workspace/skills/skill-creator .agents/skills/skill-creator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-creator" agent skill from https://github.com/ClawRunr/JavaClaw/tree/main/workspace/skills/skill-creator into .agents/skills/skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-creator", 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 ClawRunr/JavaClaw --skill skill-creator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ClawRunr/JavaClaw skill-creator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawRunr/JavaClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workspace/skills/skill-creator .cursor/skills/skill-creator && 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 "skill-creator" agent skill from https://github.com/ClawRunr/JavaClaw/tree/main/workspace/skills/skill-creator into .cursor/skills/skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-creator", 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/ClawRunr/JavaClaw.git --path workspace/skills/skill-creator--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 ClawRunr/JavaClaw --skill skill-creator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ClawRunr/JavaClaw skill-creator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawRunr/JavaClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workspace/skills/skill-creator .gemini/skills/skill-creator && 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 "skill-creator" agent skill from https://github.com/ClawRunr/JavaClaw/tree/main/workspace/skills/skill-creator into .gemini/skills/skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-creator", 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 ClawRunr/JavaClaw skill-creatorInstalls 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 ClawRunr/JavaClaw --skill skill-creator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ClawRunr/JavaClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/workspace/skills/skill-creator .github/skills/skill-creator && 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 "skill-creator" agent skill from https://github.com/ClawRunr/JavaClaw/tree/main/workspace/skills/skill-creator into .github/skills/skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-creator", 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 ClawRunr/JavaClaw --skill skill-creator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ClawRunr/JavaClaw skill-creator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawRunr/JavaClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workspace/skills/skill-creator .opencode/skills/skill-creator && 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 "skill-creator" agent skill from https://github.com/ClawRunr/JavaClaw/tree/main/workspace/skills/skill-creator into .opencode/skills/skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-creator", 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.
skill-creatorCreate new skills, modify and improve existing skills for JavaClaw.
Skill Creator is an agent skill from ClawRunr/JavaClaw. Create new skills, modify and improve existing skills for JavaClaw. Use when users want to create a skill from scratch, edit or improve an existing skill, or refine a skill's description so it triggers more reliably. Also use when a user asks to "turn this workflow into a skill", "save these instructions as a skill", or "make the agent better at X".
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Skill authoring. It works with Java. The repository describes itself as: JavaClaw, a Java version of OpenClaw built on Spring Boot, Spring AI and JobRunr. The licence is LGPL-3.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4df0115. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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.
Skill Creator loads about 1.5k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 818 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); files beside SKILL.md are not scanned.
The full file from ClawRunr/JavaClaw at commit 4df0115, republished under its LGPL-3.0 licence (© ClawRunr). 818 words, ~1,502 tokens.
.claude/skills/skill-creator/SKILL.md (or your agent's skills folder).A skill for creating and iteratively improving JavaClaw skills.
Skills in JavaClaw live at workspace/skills/<skill-name>/SKILL.md and are loaded dynamically by the SkillsTool at runtime. The agent picks them up automatically — no restart needed.
The core loop:
SKILL.mdJump in wherever the user is. If they already have a draft, skip straight to testing. If they just have a vague idea, interview them first.
Start by understanding what the user actually wants. If the conversation already shows a workflow the user wants to capture (a sequence of steps, tools used, corrections made), extract the answers from that — then fill gaps with the user.
Key questions:
Ask about edge cases, expected inputs, success criteria, and any context the agent will need. Don't start writing until you have enough to write something useful — but don't over-interview either. If you can make a reasonable assumption, make it and note it.
Create workspace/skills/<skill-name>/SKILL.md with:
name: kebab-case identifier matching the directory namedescription: The primary triggering mechanism. Include what the skill does AND when to use it. The agent decides whether to load a skill based solely on this field — so be specific and make it slightly "pushy". Instead of "Helps with data analysis", write "Helps with data analysis. Use this skill whenever the user asks about datasets, CSV files, charts, or wants to understand or transform data — even if they don't say 'analysis'."workspace/skills/
└── skill-name/
└── SKILL.md ← required; keep under ~300 linesJavaClaw skills are single-file. The agent reads SKILL.md when the skill triggers. Keep it focused and readable — a dense wall of text is harder to follow than clear, structured instructions.
Use imperative form. Explain reasoning where it matters.
Output format example:
## Report structure
Use this template every time:
# [Title]
## Summary
## Details
## Next stepsExample pattern:
## Commit message format
User said: "Added login with Google"
Write: feat(auth): add Google OAuth loginAfter writing a draft, come up with 2-3 realistic test prompts — things a real user would actually say. Share them and confirm with the user before proceeding.
For each test prompt, read the skill and follow its instructions yourself to complete the task. Present the output to the user and ask for feedback:
"Here's what the agent would do for: [prompt]. Does this look right? Anything you'd change?"
This is intentionally lightweight — you wrote the skill and you're running it, so you have full context. The goal is a quick sanity check, not a rigorous benchmark. The human review is what matters.
After the user reviews, update the skill based on their feedback. A few principles:
Generalize, don't patch. If a test case revealed a gap, think about what the underlying issue is and fix that — don't just add a special case for the exact example.
Stay lean. Remove instructions that aren't pulling their weight. If the agent is already doing something naturally, you don't need to spell it out.
Explain the why. If you find yourself adding a rigid rule, ask whether you could instead explain the reasoning so the agent understands why and can apply it flexibly.
After updating, re-run the same test prompts (and any new ones) and repeat until:
The description field is the only thing the agent sees when deciding whether to load a skill. A weak description means the skill never triggers; an overly broad one means it triggers when it shouldn't.
After finishing the skill, review the description with the user:
Present before/after to the user and confirm.
If the user wants to improve an existing skill rather than create a new one:
SKILL.md first before suggesting any changes.name and directory unchanged.© ClawRunr, LGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in workspace/skills/skill-creator of ClawRunr/JavaClaw.
Open the folder on GitHubat commit 4df0115
Skill Creator 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 |
|---|---|---|---|---|---|---|
| Skill Creator this skillClawRunr/JavaClaw | 754 | — | ~1.5k | Automated safety check: Pass | LGPL-3.0 | |
| Security Review Skill Creatorxwtro0tk1t-cloud/harness | 265 | — | ~5.7k | Automated safety check: Pass | None | |
| Skill CreatorAzure/azqr | 795 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 | |
| Claude Code Skill Developer Guidediet103/claude-code-infrastructure-showcase | 10k | 11 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Brainstormingxpinjection/test-driven-spring-boot | 112 | 54 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Darwin Skill Optimizeralchaincyf/darwin-skill | 6.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT |
xwtro0tk1t-cloud/harness
生成安全审计 skill。两种模式:(1) 项目模式——根据项目文档生成定制化审计 skill;(2) 通用模式——仅指定语言+框架,从参考资料库生成通用审计 skill。当用户想创建安全审计 skill、生成审计规则、或提到"生成安全审计skill"、"创建code review skill"、"生成 Java 审计 skill"时使用。
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
diet103/claude-code-infrastructure-showcase
A guide to creating and managing Claude Code skills with auto-activation: skill-rules.json triggers, hooks, enforcement levels, YAML frontmatter and progressive disclosure.
xpinjection/test-driven-spring-boot
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior.
alchaincyf/darwin-skill
Scores SKILL.md files on a nine-dimension rubric, then improves them in a keep-or-revert loop with independent judge agents, test prompts, git history and human checkpoints.
anthropics/claude-plugins-official
Explains how to write Claude Code slash commands: Markdown files with YAML frontmatter, arguments, file references, bash context and interactive prompts.
Works with
Categories
Create new skills, modify and improve existing skills for JavaClaw. Skill Creator is an agent skill from ClawRunr/JavaClaw. Create new skills, modify and improve existing skills for JavaClaw.
Skill Creator fits situations like: users want to create a skill from scratch; improve an existing skill; refine a skills description so it triggers more reliably; A user asks to turn this workflow into a skill.
Run `npx skills add ClawRunr/JavaClaw --skill skill-creator -a claude-code`. Or copy the skill folder (workspace/skills/skill-creator in ClawRunr/JavaClaw) into .claude/skills/skill-creator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ClawRunr/JavaClaw --skill skill-creator -a codex`. Or copy the skill folder (workspace/skills/skill-creator in ClawRunr/JavaClaw) into .agents/skills/skill-creator 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 ClawRunr/JavaClaw --skill skill-creator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-creator, .gemini/skills/skill-creator, .github/skills/skill-creator and .opencode/skills/skill-creator in your project.
SKILL.md names no scripts, command-line tools or credentials: Skill Creator is instructions for the agent only.
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. Review the folder before installing.
Skill Creator is published under the LGPL-3.0 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 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Skill Creator: Security Review Skill Creator (xwtro0tk1t-cloud/harness, 265 stars), Skill Creator (Azure/azqr, 795 stars), Claude Code Skill Developer Guide (diet103/claude-code-infrastructure-showcase, 10k stars) and Brainstorming (xpinjection/test-driven-spring-boot, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ClawRunr (a GitHub organization) maintains it in ClawRunr/JavaClaw, which has 754 GitHub stars. The repository was last updated on October 7, 2026.
Source: ClawRunr/JavaClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.