Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add growthxai/output --skill output-error-missing-schemasgit clone --depth 1 https://github.com/growthxai/outputWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/growthxai/output/output-error-missing-schemas)<a href="https://agentmods.dev/skills/growthxai/output/output-error-missing-schemas"><img src="https://agentmods.dev/badge/skills/growthxai/output/output-error-missing-schemas/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/growthxai/output/output-error-missing-schemas"><img src="https://agentmods.dev/badge/skills/growthxai/output/output-error-missing-schemas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 259 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.01496 |
| Opus 5 | $0.00021 | $0.00748 |
| Sonnet 5 | $0.00008 | $0.00299 |
| Haiku 4.5 | $0.00004 | $0.00150 |
Grade A, and why
output-error-missing-schemas scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fix Missing Schema Definitions
Overview
This skill helps diagnose and fix issues caused by steps that lack explicit inputSchema or outputSchema definitions. Schemas are essential for type safety, validation, and proper data serialization between steps.
When to Use This Skill
You're seeing:
- Type errors at step boundaries
- Undefined properties in step inputs/outputs
- Validation failures when passing data between steps
- TypeScript errors about incompatible types
- Runtime errors about unexpected data shapes
Root Cause
Steps without explicit schemas:
- Don't validate input data at runtime
- Don't provide TypeScript type inference
- May serialize/deserialize data incorrectly
- Can pass undefined or malformed data silently
Symptoms
Missing Input Schema
// WRONG: No input validation
export const processData = step( {
name: 'processData',
// inputSchema: missing!
outputSchema: z.object( { result: z.string() } ),
fn: async input => {
return { result: input.value }; // input.value might be undefined!
}
} );
Missing Output Schema
// WRONG: No output validation
export const fetchData = step( {
name: 'fetchData',
inputSchema: z.object( { id: z.string() } ),
// outputSchema: missing!
fn: async input => {
return { data: await getFromApi( input.id ) }; // Output shape not validated
}
} );
Both Schemas Missing
// WRONG: No validation at all
export const transformData = step( {
name: 'transformData',
// No schemas!
fn: async input => {
return transform( input );
}
} );
Solution
Always define both inputSchema and outputSchema for every step:
Complete Step Definition
import { z, step } from '@outputai/core';
export const processData = step( {
name: 'processData',
inputSchema: z.object( {
id: z.string(),
value: z.number(),
optional: z.string().optional()
} ),
outputSchema: z.object( {
result: z.string(),
processedAt: z.number()
} ),
fn: async input => {
// input is fully typed: { id: string, value: number, optional?: string }
return {
result: `Processed ${input.id}`,
processedAt: Date.now()
};
// output is validated against outputSchema
}
} );
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 266 lines · 42 tokens per session scan A 661af2ac2db1
output-error-missing-schemas is a skill published in the GitHub repository growthxai/output (435 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 1,496 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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