The Best Agenticskills.io Alternative for Verified Agent Skills in 2026

Agenticskills.io is a live, curated directory and learning library for AI agent skills and MCP servers. As of its v1.7.0 index (October 2026) it tracks 193+ curated skills, 196 MCP servers and 9 platforms, including Claude Code, OpenAI Codex, Cursor, Gemini CLI and multi-platform skills. Skills carry an S-rank/A-rank style editorial ranking, category tags and open-source status, with featured entries from Anthropic, Vercel Labs, Trail of Bits, obra and others. The site also publishes a substantial learning library — 177 guides, 41K+ words — covering the npx skills CLI, the Agent Plugins open standard backed by OpenAI, Microsoft, AWS, GitHub, Cursor and Vercel, and a widely cited security analysis of 23,000+ public MCP servers that found 73% fail basic security checks. Notably, its own methodology states that 'why it's indexed' judgments are editorial, not measurements, and that listing is never paid for.

pricing See pricing

• + Live today with a substantial index — 193+ skills, 196 MCP servers, 9 platforms tracked
• + Deep, genuinely useful educational content (177 guides, including CLI and security auditing material)
• + Covers the ecosystem broadly: skills, MCP servers, sandboxes and the new Agent Plugins standard
• + Explicitly states listings are never paid for, and discloses that rankings are editorial judgment
• + Strong security-awareness content, including a 12-step framework for auditing MCP servers

• − Rankings are editorial judgments, not measurements — no per-skill benchmarking of whether a skill actually improves agent output
• − No security scanning or license verification attached to individual skill listings
• − No version pinning to commit SHAs, so installed skills can drift from what was reviewed
• − No sandboxed testing or Lift measurement to show whether a skill helps or harms performance

https://agenticskills.io

SkillzBench is AIQ Labs' independent testing lab and control panel for AI agent skills, currently pre-launch with a live waitlist. It is being built around five pillars: Discover (continuously crawling and deduplicating skills from GitHub), Verify (pinning every version to a commit SHA, then validating, license-checking, security-scanning and quality-judging each skill), Benchmark (testing every skill in a sandbox with the same model, with and without the skill, and publishing the Lift in percentage points), Equip (one MCP server plus per-agent loadouts, where users toggle skills and tools per agent and the agent only sees what was chosen), and Stay current (tracking upstream changes, re-scanning, re-benchmarking and notifying). A 0–100 trust score combines security, quality, license, maintenance and community signals; Lift is always shown separately from ratings and money never touches scores. Launch scope is instruction-only skills (SKILL.md plus text references); script-bearing skills are link-out only. This focus is grounded in published research finding roughly 26% of skills carry at least one vulnerability.

pricing 9/month

• + Purpose-built for the exact gap in the market: measured verification of whether skills help or are risky
• + Independence by design — Lift shown separately from ratings and money never touches scores
• + Per-agent loadouts give small businesses fine-grained control over what each agent can see and do
• + Planned pricing is small-business friendly, starting with a generous free tier
• + Addresses a documented problem: research found ~26% of skills carry at least one vulnerability

• − Pre-launch — the product is not yet public, so none of its benchmarking, scanning or MCP capabilities can be used today
• − Launch scope is instruction-only skills; script-bearing skills will be link-out only
• − No published benchmark results, live skill counts or user counts exist yet

https://skillzbench.com

Fly.io is a hosting platform indexed in Agenticskills.io's tools directory under the AI Sandboxes category. Its listing highlights persistent block storage and no execution ceiling — capabilities most sandbox platforms deliberately cap. The directory entry tags it with firecracker, edge, long-running and persistent, and notes it is proprietary, hosted, supports any language, and uses a usage-based pricing model. The directory explicitly frames its inclusion as editorial judgment rather than measurement, and states that listing is never paid for. For a small business, Fly.io is relevant as an execution environment where AI-generated code and skill-driven agent actions can run in isolation, rather than directly on a developer laptop or production server. It does not, however, verify, rank or benchmark agent skills themselves — it is infrastructure that complements a skill directory or verification layer.

pricing See pricing

• + Persistent storage and no execution ceiling, which most sandbox platforms cap by design
• + Supports any language and long-running workloads
• + Usage-based model means you pay for what you run

• − It is a sandbox platform, not a skill directory — it does not discover, verify or benchmark skills
• − Proprietary and hosted, so workloads run on third-party infrastructure
• − Published rates change without notice, per the directory's own caution

https://agenticskills.io/tools/fly-io

E2B appears in Agenticskills.io's AI Sandboxes category, described as providing firecracker microVM sandboxes purpose-built for running AI-generated code. It sits alongside Fly.io, Modal and Daytona in the directory's sandbox tooling section, which the site curates for builders assembling safe agent stacks. For small businesses running coding agents that execute generated or skill-instructed code, E2B's purpose-built microVMs offer a way to keep that execution away from local machines and production systems. Like the other sandbox entries, it addresses the execution-isolation side of the agent-skills safety problem — the same problem Agenticskills.io's own security research highlights, given its audit found 73% of public MCP servers fail basic security checks. E2B does not itself index, rank, verify or benchmark agent skills; it is a complementary runtime layer. The directory notes its listings are editorial judgments and never paid for.

pricing See pricing

• + Purpose-built specifically for safely executing AI-generated code
• + MicroVM isolation keeps agent actions off local and production machines

• − Not a skill directory or verification service — no discovery, ranking or benchmarking of skills
• − Sandbox-only scope; does not address license, maintenance or quality signals

https://agenticskills.io/tools/fly-io

Modal is listed in Agenticskills.io's AI Sandboxes category as serverless Python compute with GPUs, built for inference and heavy ML workloads. Within the directory's curated sandbox section — alongside Fly.io, E2B and Daytona — it represents the compute-heavy end of the spectrum: where an agent workflow needs GPU acceleration or large-scale serverless Python execution rather than a persistent workspace. For a small business running ML inference or compute-intensive agent pipelines, Modal offers a way to execute that work in managed isolation instead of provisioning servers. It is worth noting what it is not: Modal does not index agent skills, verify their security or licenses, pin their versions, or measure whether they improve agent output. It is execution infrastructure that a team would combine with a directory like Agenticskills.io or a verification layer. The directory frames all sandbox listings as editorial judgment, never paid for.

pricing See pricing

• + GPU-backed serverless Python for inference and heavy ML workloads
• + No provisioning burden — suited to small teams without infrastructure staff

• − Not a skills platform — no discovery, verification or benchmarking of agent skills
• − Python-focused, so less suited to polyglot agent execution environments

https://agenticskills.io/tools/fly-io

Daytona is indexed in Agenticskills.io's AI Sandboxes category, described as providing fast, stateful development environments for agents that need to persist a workspace. It rounds out the directory's sandbox section alongside Fly.io, E2B and Modal, covering the use case where an agent's work must survive across sessions — files, dependencies and environment state that persist between runs. That matters for small businesses whose coding agents build incrementally over days rather than completing one-shot tasks. Daytona's positioning contrasts with Fly.io's persistent-storage, no-ceiling pitch and E2B's purpose-built microVM focus. As with every entry in the directory, inclusion is an editorial judgment and listing is never paid for. Daytona does not discover, verify, license-check or benchmark agent skills; it provides the stateful execution layer those skills run inside, making it a complement to a directory or verification service rather than an alternative to one.

pricing See pricing

• + Stateful workspaces suit agents that build incrementally over multiple sessions
• + Fast environment provisioning for agent development work

• − Not a skill directory or verification service
• − Narrower scope than full hosting platforms like Fly.io

https://agenticskills.io/tools/fly-io