How to Browse and Discover Skills on OpenClaw ClawHub

ClawHub is the public skill registry for OpenClaw. If you have used npm or PyPI, the shape is familiar: developers publish versioned packages, and anyone can search and install them. The difference is what gets published. Each ClawHub skill is a bundle of text files, primarily a SKILL.md with YAML frontmatter that teaches an OpenClaw agent how to perform a specific task. Skills cover everything from file storage and browser automation to database queries and email handling.

The registry crossed 13,000 published skills in early 2026 and continues to grow daily. But volume creates its own problem. Searching for "file management" returns dozens of results with overlapping descriptions. The existing ClawHub setup guide covers installation mechanics. This guide picks up where that one stops: how to actually find the skill you need, and how to decide whether it is worth installing.

ClawHub provides both a web interface at clawhub.ai and a CLI. You can browse visually or work entirely from the terminal. Most experienced users combine both: CLI for quick lookups, web for deeper evaluation.

ClawHub offers several discovery paths, each suited to different situations. Here is how they compare.

1. Ask Your Agent Directly

The simplest approach is to tell your OpenClaw agent what you need. If the built-in find-skills skill is loaded, the agent searches ClawHub on your behalf and recommends matching skills. This works well when you can describe the task in plain language but do not know the right package name.

2. CLI Keyword Search

ClawHub's CLI includes a search command that queries the registry directly from your terminal. Type a natural language description of what you need, and it returns matching skills with their slug, star count, install count, and a short description. You can sort results by download count or recency and limit the number of results returned. This is the fast way to scan a topic when you already know roughly what you are looking for. See the ClawHub README for exact syntax and flags.

3. Vector-Powered Explore

ClawHub indexes every skill using OpenAI's text-embedding-3-small model. That means searching for "automate my morning standup" will surface relevant skills even though no skill literally contains that phrase. The vector layer matches on meaning, not just keywords.

For deeper exploration, ClawHub's CLI also provides commands to explore package families and inspect individual skills without installing anything. The inspect feature is especially useful: it shows you the full skill contents, version history, and metadata without writing anything to disk. The ClawHub README documents all available subcommands.

4. Browse the Web Registry

The clawhub.ai website provides a visual interface where you can filter by category, sort by stars or installs, and read full documentation for each skill. Every skill page includes the rendered SKILL.md, security analysis results, install statistics, and a complete version changelog. This is the best option when you want to compare several skills side by side.

5. Curated Community Lists

The awesome-openclaw-skills repository maintains a curated directory of over 5,200 vetted skills organized into 26 categories. The maintainers filter out spam, duplicates, and flagged content from the full 13,000+ registry, so it serves as a quality-first starting point. Categories include Coding Agents and IDEs (1,184 skills), Web and Frontend Development (919 skills), DevOps and Cloud (393 skills), Search and Research (345 skills), and Browser and Automation (323 skills).

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Finding a skill is only half the job. Deciding whether to trust it matters more, especially after the ClawHavoc incident in February 2026, when 341 malicious skills were discovered in the registry. ClawHub now runs automated security analysis on every published skill, and the results are visible on each skill's page. Here is what to check.

Security Analysis

Every skill declares its runtime requirements in the SKILL.md frontmatter. A well-behaved skill looks something like this:

metadata:
  openclaw:
    requires:
      env: [API_KEY]
      bins: [curl]
    primaryEnv: API_KEY

ClawHub's automated scanner compares these declarations against the skill's actual behavior. If a skill claims to need only a single API key but also reads environment variables it did not declare, the security tab will flag the discrepancy. Look for "benign" ratings on the security analysis tab. Skills flagged as "suspicious" need careful manual review before installation.

Version History and Changelogs

ClawHub tracks semver versions, tags (like "latest"), and changelogs for every skill. A skill that has been through multiple releases with clear changelogs is generally more reliable than one published once and never updated. Use the CLI's inspect feature or check the version tab on the web interface to review the full release timeline.

ClawHub supports version pinning, so you can install a specific version of a skill to avoid surprise changes. You can also lock an installed version so that bulk updates skip it entirely.

Community Signals

Three signals help you gauge a skill's quality without reading the source code:

• Star count: Stars reflect developer endorsement. A skill with hundreds of stars has been evaluated by many users.
• Install count: High install numbers mean the skill is actively used in production workflows.
• Author reputation: Check whether the publisher has other well-regarded skills on ClawHub. A prolific author with consistent quality is a better bet than an anonymous one-time publisher.

Signed-in users can report suspicious skills directly on ClawHub. Three unique reports auto-hide a skill until moderators review it.

License

Most skills use MIT-0, which requires no attribution and imposes no restrictions. Some skills connect to external services that have their own terms. Check the license field on the skill page before integrating into commercial projects.

The vector search layer is powerful, but it responds differently than a traditional keyword index. A few patterns consistently produce better results.

Describe the task, not the tool. Instead of searching for "playwright" (which only finds skills with that exact word), try "navigate websites and fill forms" or "take screenshots of web pages." The embedding model maps your description to skills that solve the same problem, regardless of their naming.

Use specificity to narrow results. "Database" returns hundreds of matches. "Query PostgreSQL tables and export results as CSV" returns a focused set. The more precisely you describe your use case, the better the vector ranking works.

Combine CLI flags for faster scanning. When you already know the general area, sort results by download count to surface the most-used options first and limit the number of results to keep the output manageable. Then use the inspect feature on your top candidates to read their documentation without installing.

Try the web interface for broad exploration. When you are not sure what category your need falls into, browsing clawhub.ai by category is often faster than iterating on CLI searches. The web interface shows results with enough context (description, stats, security badge) to make quick judgments.

Check curated lists for common use cases. If you are building a standard workflow (storage, web browsing, email, code management), start with the awesome-openclaw-skills list rather than searching from scratch. The maintainers have already filtered and categorized the best options.

Once you have the right skills installed and your agents are producing output, you need somewhere to put the results. Local files work for quick experiments, but anything meant for collaboration or long-term use needs persistent, shareable storage.

Fastio provides cloud workspaces designed for exactly this workflow. Agents read and write files through a MCP server that exposes 19 consolidated tools for storage, search, sharing, and collaboration. The Fastio skill on ClawHub is one of the most installed storage skills in the registry.

The practical value shows up when agents produce artifacts that need human review. A research agent collects data, writes a report, and stores it in a shared workspace. A human opens the workspace, reviews the output, and shares it with clients through a branded link. The agent and the human work in the same environment without passing files back and forth manually.

Fastio workspaces also support Intelligence Mode, which auto-indexes uploaded files for semantic search and chat. If an agent stores research across multiple sessions, you can later ask questions across the full archive with cited answers.

Other options exist. S3 works if you want raw object storage. Google Drive handles documents well if your team already lives in Google Workspace. The advantage of a workspace platform like Fastio is that it combines storage, search, permissions, and sharing in one layer, with an API that agents can use directly.

The free tier includes 50 GB of storage, 5 workspaces, and included credits with no credit card required. For teams evaluating OpenClaw skill stacks, that is enough to run serious workflows without upfront cost. See /storage-for-openclaw/ for setup details.