KillerSkills
Security verdicts for agent skills and MCP servers, from sandbox runs, before you install them.
Descripción del creador (original en inglés)
AI writes. SPARDA proves. Deterministic, offline security gate for AI edits.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
SPARDA_FLYWHEEL, SPARDA_RECORD_SEQUENCESNecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"sparda": {
"command": "npx",
"args": [
"-y",
"sparda-mcp",
"dev"
],
"env": {
"SPARDA_FLYWHEEL": "your-value",
"SPARDA_RECORD_SEQUENCES": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add sparda --env SPARDA_FLYWHEEL=your-value --env SPARDA_RECORD_SEQUENCES=your-value -- npx -y sparda-mcp devCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"sparda": {
"command": "npx",
"args": [
"-y",
"sparda-mcp",
"dev"
],
"env": {
"SPARDA_FLYWHEEL": "your-value",
"SPARDA_RECORD_SEQUENCES": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"sparda": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"sparda-mcp",
"dev"
],
"env": {
"SPARDA_FLYWHEEL": "your-value",
"SPARDA_RECORD_SEQUENCES": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
SPARDA_FLYWHEEL envSPARDA_RECORD_SEQUENCES envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 9 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub zyx77550, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.71.3) llegó al registro hace 3 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: KillerSkills, OpenWorkProof, Shipshape MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Security verdicts for agent skills and MCP servers, from sandbox runs, before you install them.
Verifiable agent evidence; opt-in Codex guard and reference SOC alert review.
Dockerfile and Kubernetes lint for AI agents: Pod Security Standards, A–F grade, a fix per finding.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
🇫🇷 Français — _L'IA écrit. SPARDA prouve._ Un gate déterministe et hors-ligne qui détecte quand une modif d'IA retire une garde, expose une route ou casse un invariant — sans clé API, directement dans la boucle d'édition de l'agent. Pour tout comprendre en 10 minutes (douleur, architecture, vision) : SPARDA-EXPLIQUE.md.
AI writes. SPARDA proves. L'IA écrit. SPARDA prouve.
The trust layer for AI-written backends. SPARDA compiles your backend — routes, database queries, state mutations, guards, side-effects — into one deterministic behavior graph, then statically proves what can and can't break before you ship: no unguarded mutation, no broken invariant, no non-atomic aggregate write.
100% local · deterministic · zero API key · no cloud account. It fails loudly on a real risk, and when it can only see part of your app it says PROVEN (PARTIAL) — never a false green. And when it can prove it was not even looking at your whole app, it says PREMISE NOT VERIFIED and claims nothing at all.
From your Express, FastAPI, Flask, Next.js, NestJS or Medusa app — nothing to configure:
npx sparda-mcp apocalypse # prove the tree is safe to deploy — exit 1 on any real risk, or on an unverified premise
npx sparda-mcp prove # the whole verdict: proof + coverage + shareable seal npx sparda-mcp badge # a README badge: proven · coverage% · routes
Under the hood it compiles your backend into one language-agnostic graph — the Unified Behavior Graph (UBG), serialized as .sparda/ubg.json under the SBIR specification (SPARDA Behavior IR) — and every command is a pass over that graph.
The one thing a text-diff review and a pattern scanner structurally can't do: prove that this specific edit dropped a protection the previous version had. sparda gate diffs the behavior graph before/after an edit and blocks a regression — deterministic, offline, sub-second, exit 2 (the Claude Code PostToolUse contract that stops the agent's edit loop). See it end-to-end in one command, zero setup:
npm run wedge # (from a clone) — or drive it on your own app with `sparda gate --arm` then `sparda gate --hook`
1. baseline armed on the guarded code (POST /admin/delete-user · requireAdmin)
Wire it into Claude Code in one line — the plugin registers a PostToolUse hook that runs npx -y sparda-mcp gate --hook after every Edit/Write, so a guard-removing edit is caught before it lands.
[!IMPORTANT]
The Route-Compilation Proof — reproduce it yourself. SPARDA compiles real open-source monsters to their behavior graph with zero crashes, each in ≈1–2 seconds: Next.js _Dub_ (579 routes), NestJS _Immich_ (281), _MedusaJS_ (477). It natively resolves deep Dependency Injection, external controllers, and Next.js handlers. One command clones them and re-measures on your machine:
`bash
node bench/repro.mjs # → bench/route-proof.json
`
Honesty first: _compiling_ a route is a parser result (the number above); _proving_ it safe is a separate per-repo verdict — and most real apps come back NOT_PROVEN, which is the true state, not a failure. (Our full 25-repo corpus stress compiles 3,565 routes at ~150 routes/s; that one needs the corpus checked out.)
What the graph unlocks — 100% local, deterministic, 4 exact-pinned dependencies, zero API key:
| Command | What it does |
|---|---|
| `prove` | _The whole trust verdict in one gesture_ — proof + coverage + premise check + a shareable seal (--json / --markdown) |
| `apocalypse` | _Prove the deploy_ — no guard, invariant, transaction or aggregate boundary can be broken (SARIF + CI gate) |
| `heal` | _Self-heal, proven_ — the gate Copilot Autofix doesn't have: a fix ships only if replay matches, verify still passes, and apocalypse finds no new risk / no dropped guard. Whoever wrote the fix, the machine judges it. |
| `badge` | _The shareable artifact_ — a self-contained SVG badge + README snippet (verdict · coverage · routes) |
| `dossier` | _The public report_ — one self-contained HTML page: verdict, risks, and SPARDA's own blind spots |
| `ubg` | Compile the codebase to its behavior graph (Express · FastAPI · Flask · Next.js · NestJS · Medusa natively; any stack via OpenAPI) |
| `timeless` | _Time-travel_ — record a production request, replay it byte-identically, export the bug as a test |
| `mirror` | _Execute the graph_ — serve the compiled behavior over HTTP with no framework and no source |
| `init` / `dev` | _Runtime, optional_ — expose the graph to AI clients as a live MCP server (+ Twin, Immune, Evolution) |
The prover is the product. The MCP server is one _output_ of the graph, not the point — SPARDA compiles the whole system's behavior, then proves, replays, heals, and (optionally) serves it.
Nomenclature: SBIR is the specification (the format, like "JSON"); UBG is the compiled graph itself (the artifact, ubg.json). The MCP server is one _output_ of the graph, not the product.
Beyond proving, SPARDA can turn your running app into a live MCP server — the graph, executable, with write-safety and an immune layer. This is optional and separate from the prover above.
npx sparda-mcp init
SPARDA parses your routes (AST), generates a marked /mcp router, injects it into your app (with a backup), and writes sparda.json. Every step is reversible.
npx sparda-mcp dev
init prints a ready-to-paste block for claude_desktop_config.json, pre-filled with your app's name and path: {
"mcpServers": { "your-app": { "command": "npx", "args": ["sparda-mcp", "dev"], "cwd": "/absolute/path/to/your-app" } } }
Claude Code connects to the same bridge. That's it — your running app is now a set
of MCP tools your AI can call.
To see SPARDA in action instantly without modifying your codebase:
npx sparda-mcp demo
This runs the entire MCP lifecycle (detect → parse → generate → inject → remove) on a bundled demo app in a temporary folder, in about 10 seconds. For the compiler itself, run npx sparda-mcp ubg then apocalypse on any Express/FastAPI app.
SPARDA is designed as a local organism. To see what it remembers and how much compute it has recycled:
npx sparda-mcp report
This prints a terminal dashboard aggregating your exposed tools, write opt-ins, proof journal decisions, and crystallized composite tools.
To write a self-contained, offline HTML dashboard at .sparda/report.html, append the --html flag:
npx sparda-mcp report --html
To output raw JSON for integration:
npx sparda-mcp report --json
SPARDA's Behavior Graph is a formal model of your system. Instead of waiting for runtime failures or relying on static analysis vibes, you can statically prove the safety of your backend before any deployment:
npx sparda-mcp apocalypse
This command reads the compiled .sparda/ubg.json (with zero source code parsing at runtime) and discharges five static correctness obligations:
guard..sql DDL or `schema.prisma`, Prisma enums included) without prior validation (Zod/Pydantic).To save your current graph as a safe baseline:
npx sparda-mcp apocalypse --save-baseline
Subsequent runs will diff the candidate graph against this baseline to detect regression vectors:
guard (Critical).If any Critical or High finding is found, apocalypse exits with a non-zero code to block your CI pipeline.
One step in your workflow — findings land in the GitHub Security tab (SARIF):
- uses: zakariagharzouli/sparda@main
with: sarif: 'true'
Every production request is deterministic between its effects — the compiler knows exactly where the nondeterminism lives (db, http, clock, random, uuid: the effect nodes of the graph). Timeless records only those points (a few KB per request) and replays the request **byte-iden
Solo se muestra el principio; lee el resto en el repo