skills/output-contract-enforcer/SKILL.md
Validates that a DAG node's output matches its declared JSON schema before passing to downstream nodes. The glue that makes multi-agent DAGs reliable. Use when checking output contract compliance, generating validation schemas from descriptions, or debugging contract mismatches between nodes. Activate on "validate output", "output contract", "schema validation", "contract mismatch", "output doesn't match". NOT for content quality assessment (use dag-quality), skill grading (use skill-grader), or general JSON schema work outside DAG context.
npx skillsauth add curiositech/windags-skills output-contract-enforcerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Validates that a DAG node's output matches its declared JSON schema before passing to downstream nodes. The glue that makes multi-agent DAGs reliable. Without this, downstream nodes receive unpredictable input and the DAG breaks.
✅ Use for:
❌ NOT for:
dag-quality)skill-grader)flowchart TD
O[Node output] --> P[Parse as JSON]
P -->|Parse error| E1[FAIL: Not valid JSON]
P -->|Valid JSON| S[Check against schema]
S --> R{Required fields?}
R -->|Missing| E2[FAIL: Missing required field X]
R -->|Present| T{Type check?}
T -->|Wrong type| E3[FAIL: Field X expected string, got number]
T -->|Correct| C{Constraints?}
C -->|Violated| E4[FAIL: Field X violates constraint Y]
C -->|Met| V[PASS: Contract satisfied]
| Check | Example | Failure Message |
|-------|---------|----------------|
| JSON parseable | {broken json | "Output is not valid JSON" |
| Required fields | status missing | "Missing required field: status" |
| Field types | status: 42 (expected string) | "Field 'status' expected string, got number" |
| Enum values | status: "maybe" | "Field 'status' must be one of: pass, warn, fail" |
| String constraints | summary: "" (minLength: 1) | "Field 'summary' must have minLength 1" |
| Number constraints | score: 1.5 (maximum: 1.0) | "Field 'score' must be ≤ 1.0" |
| Array constraints | items: [] (minItems: 1) | "Field 'items' must have at least 1 item" |
| Nested objects | Missing sub-field | "Field 'metadata.cost' is required" |
Every DAG node should produce output matching this base schema (fields can be extended):
{
"type": "object",
"required": ["status", "summary"],
"properties": {
"status": {
"type": "string",
"enum": ["pass", "warn", "fail"]
},
"summary": {
"type": "string",
"minLength": 1,
"description": "1-3 sentence description of what was produced"
},
"artifacts": {
"type": "array",
"items": { "type": "string" },
"description": "List of files created or modified"
},
"data": {
"type": "object",
"description": "Node-specific output data (schema varies per node)"
},
"risks": {
"type": "array",
"items": { "type": "string" },
"description": "Remaining risks or assumptions"
}
}
}
When connecting Node A's output to Node B's input, verify:
Node A output: { status: string, recommendations: string[] }
Node B input: { status: string, recommendations: string[], priority: number }
Result: INCOMPATIBLE — Node B requires 'priority' but Node A doesn't produce it.
Fix: Add 'priority' to Node A's output, or add a transformer node between A and B.
When a node description says "produces a list of recommendations with priorities," generate:
{
"type": "object",
"required": ["status", "summary", "data"],
"properties": {
"status": { "type": "string", "enum": ["pass", "warn", "fail"] },
"summary": { "type": "string", "minLength": 1 },
"data": {
"type": "object",
"required": ["recommendations"],
"properties": {
"recommendations": {
"type": "array",
"minItems": 1,
"items": {
"type": "object",
"required": ["text", "priority"],
"properties": {
"text": { "type": "string" },
"priority": { "type": "integer", "minimum": 1, "maximum": 5 }
}
}
}
}
}
}
}
Wrong: Nodes produce free-form text with no schema. Why: Downstream nodes can't reliably parse the input. The DAG is fragile. Right: Every node declares its output schema. Every output is validated before passing downstream.
Wrong: Requiring exact character counts, specific formatting, or field values that depend on runtime context. Right: Constrain structure (types, required fields), not content. Let dag-quality handle content assessment.
Wrong: Treating all fields as required.
Right: Use required only for fields that downstream nodes absolutely need. Mark everything else as optional.
This skill produces:
data-ai
license: Apache-2.0 NOT for unrelated tasks outside this domain.
development
Use when designing caching strategies (cache-aside, write-through, write-behind), implementing distributed locks, building rate limiters, leaderboards, real-time streams (XADD/consumer groups), pub/sub, or tuning eviction policies. Triggers: thundering-herd on cache miss, dogpile on key expiry, Redlock vs SET-NX-PX choice, sliding-window rate limiter, hot-key on a single cluster slot, big-key blowup, MULTI/EXEC across slots, KEYS in production. NOT for Redis Cluster operations/admin (different domain), embedded KV (SQLite, leveldb), in-process LRU caches, or Memcached.
tools
Drawing the `'use client'` boundary correctly in React Server Components apps (Next.js App Router, RSC frameworks) — leaf-pushing, slot composition, serialization rules, and environment poisoning prevention. Grounded in react.dev and Next.js 16 docs.
development
Use when designing rate limiting for an API, choosing between token bucket / sliding window / leaky bucket / fixed window, implementing it in Redis, deciding edge (Cloudflare/Upstash) vs origin enforcement, sizing per-user vs per-IP vs per-endpoint quotas, returning the right 429 response with Retry-After, or fixing the boundary-burst bug in fixed-window limiters. Triggers: 429 too many requests, INCR + EXPIRE, ZADD + ZREMRANGEBYSCORE + ZCARD, X-RateLimit-Remaining header, Cloudflare WAF rate limiting rules, Upstash @upstash/ratelimit, leaky bucket shaping vs policing, distributed rate limiter consistency. NOT for DDoS mitigation specifically (different scale), CAPTCHA / bot management, full WAF design, or per-user quota billing.