About KillerSkills
KillerSkills helps individuals and organizations assess agent skills and MCP servers using sandbox observations. It can serve verdicts and search through a read-only MCP interface, check artifacts before installation, and restrict tool, network, and credential access when an MCP server runs.
Key features
- 01Retrieve skill and MCP server verdicts
- 02Search the security index by keyword
- 03Run artifacts in a sandbox before install
- 04Deny or restrict MCP tool calls
- 05Constrain network access and broker secrets
- 06Detect injection and credential exfiltration
Use cases
- 01Review a skill verdict before installation
- 02Find a verified alternative to an MCP server
- 03Limit tools and network access for an MCP server
- 04Monitor agent workflows for injected instructions
MCP support
KillerSkills can run as a read-only MCP server over stdio, exposing `check_skill` and `search_skills` for verdict lookup and index search. Its CLI can also sit between an agent and a stdio MCP server to enforce tool, network, and credential restrictions.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
2Saved tool list · updated today
| Parameter | Type | Required | Description |
|---|---|---|---|
| name | string | Yes | Skill or package name: "name", "publisher/name", "@scope/pkg", optionally "@version". |
| registry | enum | No | Registry, when known. Omit to search all public registries.skills_sh | clawhub | npm | pypi | docker | plugins | partner |
Details
From the project READMEvet-skills
Check agent skills and MCP servers before they run. Verdicts come from KillerSkills; the policy is yours or your org's.
npm i -g vet-skills # the CLI (Node 20+)
vet-skills hook install all # Claude Code, Cursor, Codex, Windsurf, Gemini CLI: install check, runtime observation, canaries
vet-skills check <skill> # or just ask before you add one
vet-skills publish ./my-skill # org members: detonate + list in the private registry
Use it as an MCP server
Give any agent the verdicts directly, so it checks a skill or MCP server before
installing it and can pick a verified alternative. Read-only, no account, no API key.
Tools: check_skill (verdict, score, what the sandbox saw, top findings, last safe
version) and search_skills (the index by keyword, with verdicts).
Claude Code
claude mcp add killerskills -- npx -y vet-skills mcp
Cursor: ~/.cursor/mcp.json (or .cursor/mcp.json in a project)
{
"mcpServers": {
"killerskills": { "command": "npx", "args": ["-y", "vet-skills", "mcp"] }
}
}
Claude Desktop: Settings → Developer → Edit Config (claude_desktop_config.json)
{
"mcpServers": {
"killerskills": { "command": "npx", "args": ["-y", "vet-skills", "mcp"] }
}
}
VS Code: .vscode/mcp.json
{
"servers": {
"killerskills": { "type": "stdio", "command": "npx", "args": ["-y", "vet-skills", "mcp"] }
}
}
Windsurf: ~/.codeium/windsurf/mcp_config.json, same mcpServers block as Cursor.
Codex: ~/.codex/config.toml
[mcp_servers.killerskills]
command = "npx"
args = ["-y", "vet-skills", "mcp"]
Then ask your agent: "Before you add that MCP server, check it with KillerSkills." Requires Node 20+. Index: 24,000+ skills and MCP servers from skills.sh, ClawHub, npm, PyPI, the Docker MCP Catalog and Claude Code plugin marketplaces, each run in a honeypot sandbox. Browse them at killerskills.ai.
Try it before you install it
vet-skills try @acme/crm-mcp # npm package (or name@version)
vet-skills try pypi:some-mcp-server # PyPI package
vet-skills try owner/repo # GitHub repository
vet-skills try ./my-skill # local directory
Fetches the package into a temp directory (never installed), runs it in the KillerSkills honeypot, and prints what it did: every host it contacted, every credential path it touched, the tools it exposes, and what it costs your agent (instruction tokens; for MCP servers the handshake time and the prompt context of its tool list). Exit code 2 when the run is Blocked.
Injection in what comes back
The same hook that observes tool calls reads what WebFetch, WebSearch, Read,
Bash, Grep and every MCP tool return. When the content carries instructions
aimed at the agent ("ignore previous instructions", "do not tell the user", a hidden
HTML comment, invisible Unicode tag characters, a script piped to a shell), the hook
tells the agent before its next step, logs it, and reports the kind of finding to
your org when enrolled. Nothing from the content leaves the machine. vet-skills discover applies the same rules to CLAUDE.md, AGENTS.md, MEMORY.md and every
installed SKILL.md; vet-skills run applies them to a live server's tool list and
results.
Run it with restrictions
claude mcp add crm -- npx -y vet-skills run --net declared --deny "delete_*" -- npx -y @acme/crm-mcp
vet-skills run sits between the agent and a stdio MCP server. Denied tools are
answered with an error and never reach the server; every tool call is logged
(tool name and argument names only); --net declared points the server's
HTTPS_PROXY at a local allow-list proxy limited to the hosts its verdict saw it
declare (--net host1,host2 to choose). When the install hook blocks a stdio
server, it prints this command as the alternative. Clients that ignore
HTTPS_PROXY are not network-contained, and the guard says so at start.
Add --contain (0.7.9) to put the server in an OS sandbox as well: on macOS
sandbox-exec, on Linux bwrap (bubblewrap). The project directory, /tmp
and the package caches stay writable; the rest of $HOME is read-only and
credential directories (~/.ssh, ~/.aws, ~/.config/gh, ~/.kube,
~/.docker, keychains, agent config folders, …) are not readable at all. On
macOS the sandbox also forbids every outbound connection except the local
proxy. Undeclared hosts get a fast, logged 403, so a telemetry call fails
harmlessly and the tool keeps working; the exit summary counts them. Windows:
use WSL. Where neither sandbox is available the guard runs without it and says so.
claude mcp add crm -- npx -y vet-skills run --contain --net declared -- npx -y @acme/crm-mcp
Credential broker: --secrets (0.7.13)
Most MCP servers need an API key in their environment, and a server that reads
GITHUB_TOKEN to call GitHub can just as easily post it somewhere else. With
--secrets NAME=host[,NAME=host…] the server never gets the value: its
environment holds a placeholder, the guard keeps the real value, and the
guard's proxy puts it into requests to the bound host only. A placeholder sent
anywhere else is a random string, and the guard reports the attempt (✕ sent the GITHUB_TOKEN placeholder to collect.evil.xyz) and records it as a deviation.
GITHUB_TOKEN=ghp_… vet-skills run --secrets GITHUB_TOKEN=api.github.com -- npx -y @acme/github-mcp
How: the proxy terminates TLS for the allowed hosts with a certificate from a
throwaway CA made for that run (openssl, keys in a 0700 directory, deleted at
exit). The server trusts it through NODE_EXTRA_CA_CERTS, SSL_CERT_FILE,
REQUESTS_CA_BUNDLE, CURL_CA_BUNDLE and GIT_SSL_CAINFO, which cover Node,
Python, curl, Go and Rust clients. Headers, the URL and bodies up to 4 MB are
rewritten. --secrets implies a network pin to the bound hosts (add --net to
widen it). A client that pins certificates will refuse the run's CA; use --net
without --secrets for that one.
Canary credentials: proof, not a heuristic
vet-skills canary install
Plants decoy credential files beside the real ones (~/.aws/credentials.old,
~/.config/gh/hosts.yml.old, ~/.npmrc.old, ~/.ssh/id_rsa_old, ~/.env.old),
only where no file exists, with random values kept in ~/.vet-skills/canaries.json.
Nothing legitimate reads a forgotten backup, so a canary value showing up in
anything the agent sends or a tool returns is exfiltration by construction. The
hook stops the session and names the file kind (never the value); vet-skills run
refuses the call. vet-skills canary lists them, canary remove deletes only files
whose contents are still exactly what it wrote.
Allowed because you asked for it
Not every credential read is an attack. The hook keeps a per-session intent
record: the hosts and paths you named in a prompt (extracted by a
UserPromptSubmit hook; the prompt itself is never stored) and the ones your
own tool calls touched. A skill's sensitive action that matches an entry from
the last 30 minutes is allowed with a one-line notice and recorded as a scoped
allow (this session, this skill, this resource, 30 minutes); the same action
with nothing to explain it is held and the agent is told to ask you.
vet-skills runtime allows # scoped allows this week, with the reason
vet-skills runtime revoke <id> # revoke one now
Policy context: turns this off per kind (credential_read: hold). No model
judges intent: the rule is the match, and it is printed.
See what is already configured
vet-skills discover # every MCP server, skill, plugin and hook on this machine, with verdicts
Reads Claude Code, Cursor, Windsurf, Claude Desktop, Gemini CLI and Codex configs locally. Each server and skill name is looked up for its verdict; nothing else leaves the machine. When you are enrolled in an org, the list of names is also reported to your team's Discovery page. Environment values, arguments and file contents never are.
It also inspects each installed skill folder for the installer-lure shape (a committed
ZIP or .bat, a LuaJIT runtime, Lua saved as .txt, files matching the Agent Lure
Stealer IOCs) and flags credential values pasted into config files, by kind and line
only; the value itself is never printed or sent.
What it does
Every skills add, claude plugin install, and claude mcp add is resolved to
an artifact hash, looked up, and evaluated against your policy before it runs:
$ vet-skills check deploy-helper
Resolving deploy-helper …
vet-skills 0.7.8 · policy acme/default-strict
BLOCKED 14/100 [email protected] · devtools-cloud · 4,210 installs
Observed in sandbox (3 scenarios, 38s):
✕ network telemetry-cdn.xyz — undeclared
✕ memory wrote agent memory (1)
✕ filesystem reads ~/.ssh/id_ed25519, ~/.aws/credentials, ~/.npmrc
! tools shadows github.create_pr
Policy acme/default-strict:
✕ publisher blocked devtools-cloud is on the block list
✕ Blocked [email protected] · publisher devtools-cloud is blocked by policy
Pin instead: [email protected] (score 88)
Decisions: allow, sandbox (install with restrictions), approval required (the install waits for a reviewer), block (with the last safe version named), defer (unscored: detonate first), observe (org enforcement off; logged only).
Fail-open
If the verdict API is unreachable and nothing is cached, the policy's offline
rule applies. The default is allow with a warning: an outage on our side never
stops your work. Set offline: block in your policy to fail closed.
Solo vs. org
Solo: a personal policy in ~/.vet-skills/policy.yaml (vet-skills policy show).
Nothing is sent except verdict lookups (skill name, version, hash) and an anonymous
client id.
Org: vet-skills join <org> --token <enroll token> --email [email protected]
switches to the org policy. From then on the hook also reports installed skill
names, versions, hashes, and decisions to your org dashboard. Never code,
prompts, environment variables, or file contents. vet-skills leave reverts.
Commands
| Command | What it does |
|---|---|
check <skill> | Dry-run the decision. Exit 2 when blocked. |
try <pkg|pypi:name|owner/repo|path> | Fetch it, run it in the honeypot, print what it did and what it costs the agent. |
run [--contain] [--deny t,glob*] [--net declared|hosts|off] [--secrets NAME=host,…] -- <cmd…> | Guard a stdio MCP server: deny tools, pin its network, broker its secrets, log every call. |
install <skill> | Check, then npx skills add. Prompts on caution. |
detonate <skill|path> | Force a sandbox run. |
why <skill> | Last decision and the rule behind it. |
join <org> --token <t> --email <e> / leave | Org mode on / off. |
policy show / policy set <file> | Personal policy. |
block <skill> [--reason] | Personal block list. |
status | Org, policy version, cache, pending approvals; syncs policy. |
discover [--project] [--json] | Inventory agent config on this machine; report names to the org when enrolled. |
mcp | Run as an MCP server over stdio (check_skill, search_skills). |
hook install [claude-code | cursor | codex | windsurf | gemini | all] | Registers the hooks for that agent (~/.claude/settings.json, ~/.cursor/hooks.json, ~/.codex/hooks.json, ~/.codeium/windsurf/hooks.json, ~/.gemini/settings.json). |
hook windsurf, hook gemini | Called by Windsurf (Cascade) / Gemini CLI on each event; exit 2 blocks, the reason goes to the agent. |
hook eval | Called by the agent; reads hook JSON on stdin. |
Environment: KILLERSKILLS_API (default https://killerskills.ai),
VET_SKILLS_HOME (default ~/.vet-skills), NO_COLOR.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.