B

B — Some risk signals Graded October 16, 2026Minor concerns worth a quick check.Based on public adoption and transparency signals as of October 16, 2026. Our opinion, not a code audit or security guarantee.

AI agent skill · General

awesome-openclaw-skills

The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞

Bottom line: Signal-based grade (4/7 points): very widely starred on GitHub, public source code. This reflects adoption and transparency, not a code audit.

Popularity score
52/100
Rank
#85 of 500
GitHub stars
53.2k

What it does

Awesome-openclaw-skills is a curated, categorized collection of 5,400+ AI agent skills sourced from the official OpenClaw Skills Registry. It organizes and filters these skills to help developers quickly discover and integrate pre-built capabilities into AI agents.

Who it’s for

AI builders and engineers who need a searchable index of ready-made agent skills to accelerate development. Teams evaluating what capabilities are available in the OpenClaw ecosystem.

Copy-paste setup

Check these steps against the project’s own instructions before running anything.

Verify against the repo README at https://github.com/VoltAgent/awesome-openclaw-skills (opens external site) for the latest installation and configuration steps, as this is a curated collection rather than a traditional package. Most likely usage is browsing the GitHub repository directly or integrating referenced skills into your agent framework per individual skill documentation.

Risks

  • Curated collections reduce but don't eliminate supply-chain risk—individual skills may have unreviewed security issues or outdated dependencies
  • No built-in credential management visible; downstream skills may request overly broad permissions or API keys with excessive scope
  • Prompt injection risk if skills accept unvalidated user input and pass it to external APIs or LLM calls
  • Limited transparency on vetting criteria for which skills are included or removed from the collection
  • Data exfiltration risk depends entirely on individual skill implementations—collection provides no auditing or sandboxing

How to stay secure

Least-privilege permissions

  • Audit and scope all API keys and credentials used by skills to minimum required permissions; never reuse admin keys
  • Review each skill's permission requests in isolation before deployment, even if sourced from a curated collection
  • Implement separate credentials per skill or skill category rather than shared blanket access tokens
  • Rotate credentials regularly and revoke unused keys immediately

Network isolation

  • Run skills in containerized or air-gapped environments with egress filtering to approved endpoints only
  • Deny outbound access by default; whitelist only required domains and APIs for each skill
  • Segregate skill execution from production systems and sensitive data stores
  • Log and inspect all external API calls made by skills before they reach the network

Monitoring

  • Instrument skill execution with audit logs capturing inputs, outputs, and all external API calls
  • Alert on unusual data volumes, new destination IPs, or API calls to domains outside approved lists
  • Monitor for repeated failed authentication attempts or permission escalation patterns
  • Track which skills access sensitive resources and flag deviations from baseline behavior

Red flags to watch for

  • Skills that accept free-form user input and directly pass it to LLM calls or API requests without sanitization
  • Outdated dependencies or skills with unresolved CVEs in their disclosed requirements
  • Vague documentation on what a skill does, its exact permissions needed, or who maintains it
  • Skills requesting broad scopes (e.g., admin:*, read:all) instead of specific, granular permissions

Alternatives

  • OpenAI GPT Actions / Custom GPTs—native integrations with built-in API schema validation
  • Anthropic Tools (Claude MCP)—official message-passing layer with explicit permission scoping
  • LangChain Tools—open-source with community auditing and standardized tool interfaces
  • Custom skill development—building in-house for full control and zero external dependencies

Sources