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Skill Federation
Pricing
- Model
- Free
Summary
Your agent hits a task it can't handle, and you spend twenty minutes digging through GitHub repos sorted by star count, hoping the one you pick isn't malware and actually does what the README claims — Skill Federation exists to replace that loop.
Skill Federation runs locally on your machine and connects to a catalog of over 100,000 vetted skills. When an agent hits a gap, it surfaces matches in milliseconds — each one license-checked, security-scanned, and provenance-tracked — then waits for your approval before installing into .claude/skills/. The benchmark evidence from the vendor is specific: a bare Claude Code agent solves 17.5% of SkillsBench tasks; with Skill Federation retrieving the top match, that climbs to 22.8%, roughly closing 27% of the gap to a hand-crafted ideal skill. The privacy boundary is narrow by design — only an abstract wish crosses the wire, never your code, plan, or outputs. The hard ceiling is integration breadth: Claude Code is supported, with Codex, Cursor, and Gemini listed as coming.
Bottom line: Pick this when your team is on Claude Code and spending real time vetting skills by hand; skip it if your stack runs Cursor or Codex today, because those integrations are not yet available.
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Pros
Sign in to edit- Two-scanner security vetting at catalog ingestion rather than at install time, so you are never pulling live from an unreviewed repo and your team avoids the malware-by-star-count gamble.
- License class and provenance shown before every install, which means teams with compliance requirements can audit what skills entered the codebase without reconstructing that history after the fact.
- Retrieval triggered automatically when the agent hits a gap, so the agent does not require manual skill reminders at the start of every session — a friction point the vendor explicitly benchmarks against.
- All execution happens on your machine with only an abstract wish transmitted, so codebases, plans, and outputs stay local even when skill search is delegated to an external catalog.
- Open-source and self-hostable, which means teams that need an air-gapped or fully controlled registry can run their own instance rather than depending on a hosted endpoint.
Cons
Sign in to edit- Claude Code is the only documented supported integration; teams running Cursor, Codex, or Gemini as their primary agent tool cannot use Skill Federation in its current state — those integrations are listed as forthcoming with no committed timeline on the vendor page.
- The benchmark ceiling exposes the retrieval model's limit: even the top retrieved skill closes only 27% of the gap to a hand-crafted ideal skill, meaning tasks that require precise, purpose-built skills will still be partially solved at best — teams with narrow, specialized workflows will hit this ceiling faster than teams with general-purpose tasks.
- No API is available, so teams that want to integrate skill retrieval into a custom agent pipeline or CI workflow cannot call Skill Federation programmatically — teams needing that surface will need to build their own retrieval layer, at which point Skill Federation's catalog is no longer in the loop.
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About
- Platforms
- Node.js, Python, cross-platform via curl
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-07-03T08:15:53.793Z
Best For
Who it's for
- Developers using Claude Code or similar agentic coding tools
- Teams requiring provenance and license tracking for skills
- Users prioritizing fully local, private skill retrieval
What it does well
- Agent encounters unknown task and requests matching skill
- Team maintains single audited catalog of approved skills
- Local installation of security-scanned skills without manual vetting
Integrations
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Frequently Asked Questions
- Is Skill Federation free?
- Yes — Skill Federation is fully free to use. There is no paid tier.
- Is Skill Federation open source?
- Yes. Skill Federation is open source.
- Can I self-host Skill Federation?
- Yes. Skill Federation supports self-hosting on your own infrastructure.
- What platforms does Skill Federation support?
- Skill Federation is available on: Node.js, Python, cross-platform via curl.
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When an agent encounters a task outside its built-in capabilities, Skill Federation intercepts the gap. The agent generates an abstract description of what it needs — a one-line wish plus a few keyword variations — and Skill Federation queries its catalog, returning ranked matches with license class, source provenance, and security scan results. You review the match and approve the install; the skill lands in .claude/skills/ and runs locally. Nothing about your actual work — no file contents, no plan, no reasoning trace — is transmitted.
The catalog ingestion pipeline is the differentiating detail. Skills are not fetched live from public repositories at install time. Each candidate is copied at ingestion, deduplicated, and scanned by two independent scanners including Cisco AI Defense before being promoted to the catalog. The source link shown is provenance information, not a live fetch path. This means your team pulls from a pre-scanned registry rather than from whatever HEAD currently looks like on a random public repo — a meaningful distinction when 1.7 million public skill files exist with no licensing or security guarantees.
Skill Federation fits teams where engineers are already downloading skills ad hoc and where that improvised process has no audit trail. The tool acts as an artifact registry for skills: one governed source of truth instead of individual copies scattered across local machines. The current integration ceiling is real — Claude Code is the documented supported environment, with additional integrations described as forthcoming. Teams running Cursor, Codex, or Gemini as their primary coding agent cannot use this today without workarounds outside the documented workflow.
