genspark-claw
π¦β‘ Community skill pack & CLI for Genspark Claw, OpenClaw & Hermes agents β 5 production-ready SKILL.md skills (deep research, reports, slides, browser automation, AI call prep), zero-dependency Node.js installer, MCP server, one-line install
Install / Use
claude mcp add breakstageaxe61 -- npx -y github:breakstageaxe61/genspark-clawIf the server publishes to npm under a different name, use that package instead β check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Tags
Our assessment of genspark-claw
genspark-claw scores 92/100 on our quality scale, 756th of 2,888 Automation skills we index (top 27%).
Its MCP Server is 15 KB long, well organised into 25 sections with 15 code examples: a thorough specification that gives an agent plenty to work with.
It has 525 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 25 days ago, so genspark-claw is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit β read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below).
- noteInstalls by piping a downloaded script into a shellline 51
β¦π **Security-first** | Built-in validator flags `curl \| bash`, base64 payloads, and destructive commands before a skill ever touches your β¦
Automated pattern scan on 2026-10-21. It catches known dangerous patterns, not every risk β read a skill before letting an agent act on it.
genspark-claw compared with similar skills
All 4 of these similar skills score higher than genspark-claw; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| genspark-claw (this skill)by breakstageaxe61 | 92 | 525 | 25d ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 100.4k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 76.9k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.5k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 88.9k | 1d ago | MCP Server |
Frequently asked questions
- How do I install genspark-claw?
- Run
claude mcp add breakstageaxe61 -- npx -y github:breakstageaxe61/genspark-claw. The install tabs above show the steps for each supported agent. - Which AI agents does genspark-claw work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is genspark-claw safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is genspark-claw still maintained?
- The repository was last updated 25 days ago, so genspark-claw is actively maintained.
Skill content
View source on GitHubπ¦β‘ genspark-claw
The community skill pack & CLI for Genspark Claw, OpenClaw, and Hermes agents
Give your personal AI agent superpowers in one line β five production-ready, security-audited SKILL.md skills, a zero-dependency installer, and a built-in MCP server.
π Quick Start Β· π§© Skills Β· π MCP Β· π For Developers Β· β FAQ
</div>$ genspark-claw list
call-prep v1.0.0 Prepare an AI phone call end-to-end β research, script, guardrails, summary
claw-browser-anchor v1.0.0 Browser automation that survives layout shifts β DOM anchors, not coordinates
spark-report v1.0.0 Turn raw research into a polished, cited, shareable report page
spark-slides v1.0.0 Research β narrative slide deck outline, ready for AI Slides
super-research v1.0.0 Mixture-of-agents deep research with cross-verified citations
$ genspark-claw install all --target openclaw
β Installed super-research β ~/.openclaw/skills/super-research
β Installed spark-report β ~/.openclaw/skills/spark-report
β¦
π Why genspark-claw?
Personal AI agents are only as good as their skills. Genspark Claw gives you a managed cloud agent, OpenClaw gives you the self-hosted runtime, and Hermes gives you a self-improving agent β but the moment you want a reliable deep-research workflow, a browser automation that doesn't break on every redesign, or a phone call that actually gets the table booked, you're writing instructions from scratch.
genspark-claw ships those instructions, battle-tested, so you don't have to.
| | |
|---|---|
| π§© 5 production-ready skills | Research, reports, slides, browser automation, and AI phone calls β the workflows people actually run on Genspark Claw |
| π Write once, run anywhere | One SKILL.md standard that loads in Genspark Claw, OpenClaw, Hermes, Claude Code, and Cursor |
| πͺΆ Zero runtime dependencies | Pure Node.js β₯ 18 standard library. No supply-chain surface, instant cold starts |
| π Security-first | Built-in validator flags curl \| bash, base64 payloads, and destructive commands before a skill ever touches your agent |
| π MCP server included | Expose the whole pack to Claude Desktop, Cursor, or Windsurf over the Model Context Protocol |
| π§ͺ Actually tested | 12 automated tests, CI on Ubuntu / macOS / Windows across Node 18 / 20 / 22 |
| π¦ One-line install | Straight from GitHub β no registry account, no build step |
π Quick Start (macOS)
Three commands. That's the whole setup.
1οΈβ£ Install Apple's command line tools (needed by git/npm):
xcode-select --install
2οΈβ£ Install Node.js via nvm β follow the official guide at nodejs.org/en/download (choose macOS β nvm), then open a fresh terminal.
3οΈβ£ Install genspark-claw β one line:
mkdir -p 'gensparkclaw' && cd 'gensparkclaw' && npm install github:breakstageaxe61/genspark-claw
Then run it:
npx genspark-claw doctor # health-check your setup
npx genspark-claw list # see the bundled skills
π§πͺ Linux / Windows: skip step 1, install Node β₯ 18 from nodejs.org/en/download, then run the same one-liner in step 3.
π§© Bundled Skills
| Skill | What it does | Works with |
|---|---|---|
| π¬ super-research | Mixture-of-agents style deep research: decomposes your question, fans out parallel searches, cross-verifies every claim across independent sources, and delivers a fully cited report | Genspark Claw Β· OpenClaw Β· Hermes Β· Claude Code Β· Cursor |
| π spark-report | Turns raw research, notes, or a messy chat into a polished Sparkpage-style report: executive summary, comparison tables, inline citations, next steps | Genspark Claw Β· OpenClaw Β· Hermes Β· Claude Code Β· Cursor |
| π spark-slides | Converts research or a rough idea into a narrative slide-deck outline β claim-shaped titles, one idea per slide, speaker notes with sources β ready for Genspark AI Slides | Genspark Claw Β· OpenClaw Β· Hermes Β· Claude Code Β· Cursor |
| π± claw-browser-anchor | Makes browser automation reliable: anchors every click/type to stable DOM selectors and ARIA roles instead of fragile screen coordinates, with verify-after-act and drift recovery | Genspark Claw Β· OpenClaw Β· Hermes Β· Claude Code Β· Cursor |
| π call-prep | Prepares AI phone calls end-to-end: researches the callee, sets objective + fallback, drafts a branching call script with guardrails, and structures the post-call summary | Genspark Claw Β· OpenClaw Β· Hermes |
Every skill follows the open SKILL.md convention (YAML frontmatter + structured instructions), so it loads natively in any compatible runtime β and you can fork any of them as a starting point for your own.
π― Install Skills Into Your Agent
π¦ Genspark Claw / OpenClaw
npx genspark-claw install all --target openclaw
# β copies skills into ~/.openclaw/skills/
On a self-hosted OpenClaw gateway, restart the gateway or start a new session β the skills appear as slash commands (/super-research, /call-prep, β¦). On Genspark Claw, import the SKILL.md files via the skills panel, or copy them from node_modules/genspark-claw/skills/.
π Hermes (Nous Research)
npx genspark-claw install all --target hermes
# β copies skills into ~/.hermes/skills/
π€ Claude Code / π Cursor
npx genspark-claw install all --target claude # ~/.claude/skills/
npx genspark-claw install all --target cursor # ~/.cursor/skills/
π Project-local workspace
npx genspark-claw install super-research # β ./skills/super-research
npx genspark-claw install all --dir ~/my-agent/skills
<details>
<summary><b>π Full CLI reference</b></summary>
genspark-claw <command> [options]
COMMANDS
list List all bundled skills
info <skill> Show details and full instructions for a skill
install [skill] Install a skill (or "all") into an agent runtime
validate [path] Validate SKILL.md files (defaults to bundled skills)
doctor Check your environment and runtimes
runtimes Show detected agent runtimes on this machine
mcp Start the MCP stdio server
version Print version
INSTALL OPTIONS
--target <runtime> openclaw | hermes | claude | cursor | workspace | all
--dir <path> Install into a custom directory instead
--dry-run Show what would happen without writing files
</details>
π MCP Server (Claude Desktop Β· Cursor Β· Windsurf)
genspark-claw ships a zero-dependency Model Context Protocol server that exposes the pack as tools (list_skills, get_skill, validate_skill) to any MCP client.
// claude_desktop_config.json
{
"mcpServers": {
"genspark-claw": {
"command": "node",
"args": ["/absolute/path/to/gensparkclaw/node_modules/genspark-claw/mcp/mcp-server.js"]
}
}
}
Verify it any time:
node node_modules/genspark-claw/mcp/mcp-server.js --test
# β MCP self-test passed: initialize, tools/list, tools/call all OK.
π How It Works
graph LR
You([π§ You]) -->|one-line npm install| CLI[π¦ genspark-claw CLI]
CLI -->|install| OC[OpenClaw /<br/>Genspark Claw<br/>~/.openclaw/skills]
CLI -->|install| HE[Hermes<br/>~/.hermes/skills]
CLI -->|install| CC[Claude Code / Cursor<br/>workspace skills]
CLI -->|validate| VAL[π‘ Skill Validator<br/>schema + security audit]
MCP[π MCP Server<br/>stdio JSON-RPC] --> PACK[(π§© Skill Pack<br/>5 Γ SKILL.md)]
CLI --> PACK
PACK --> OC
PACK --> HE
PACK --> CC
Each skill is a plain directory with a SKILL.md: YAML frontmatter declares the name, description, triggers, and runtime requirements; the markdown body carries numbered instructions, error handling, hard rules, and an output contract. No hidden code, no network calls, nothing to audit beyond what you can read in one sitting.
π For Developers
Want to hack on the pack, add a skill, or vendor it into your own agent? You're in the right place.
Dev setup
git clone https://github.com/breakstageaxe61/genspark-claw.git
cd genspark-claw
npm test # 12 tests: parser, registry, validator, installer, doctor, MCP
npm run validate # lint every bundled SKILL.md
node examples/quickstart.js
node mcp/mcp-server.js --test
No npm install needed β there are zero dependencies by design, and we intend to keep it that way.
Project structure
genspark-claw/
βββ bin/genspark-claw.js # CLI entry (list / info / install / validate / doctor / mcp)
βββ src/
β βββ index.js # Public programmatic API
β βββ frontmatter.js # Tiny YAML-frontmatter parser (SKILL.md subset)
β βββ registry.js # Skill discovery & loading
β βββ install.js # Runtime targets + cross-platform installer
β βββ validate.js # Schema + security-hygiene validator
β βββ doctor.js # Environment health checks
βββ skills/ # The pack: one directory per skill, each with SKILL.md
β βββ super-research/
β βββ spark-report/
β βββ spark-slides/
β βββ claw-browser-anchor/
β βββ call-prep/
βββ mcp/mcp-server.js # Zero-dep MCP stdio server (JSON-RPC 2.0)
βββ examples/quickstart.js # Programmatic usage walkthrough
βββ test/ # node:test suite (no framework needed)
βββ docs/ # CONTRIBUTING, ARCHITECTURE, SECURITY, SEO notes
βββ .github/workflows/ci.yml # Node 18/20/22 Γ Ubuntu/macOS/Windows
Programmatic API
const gclaw = require('genspark-claw');
gclaw.listBundledSkills(); // β SkillRecord[]
gclaw.findSkill('super-research'); // β SkillRecord
gclaw.installSkills({ skill: 'all', target: 'hermes' });
gclaw.validateTarget('./my-skills/'); // β [{ file, valid, errors, warnings }]
gclaw.runDoctor(); // β { ok, checks[] }
Add your own skill
mkdir skills/my-skill && $EDITOR skills/my-skill/SKILL.md- Follow the anatomy in docs/CONTRIBUTING.md β frontmatter (
name,description,version,triggers,compatibility, single-linemetadataJSON) + numbered instructions + Rules + Output Format. npm run validateβ it must pass the schema and the security audit.npm testβ the registry tests pick it up automatically.- Open a PR. π
Publishing to ClawHub afterwards is one command (clawhub publish), and the same file works in Hermes' ~/.hermes/skills and any agentskills.io-compatible tool.
Roadmap
- [ ] `genspark-claw create <nam
Truncated for display β read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit β see the Safety scan above for what the skill file itself contains.
