Borrowing it
Nothing to install: this file belongs to anivar/zod-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/anivar/zod-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/anivar/zod-skillWrote 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/instructions/anivar/zod-skill/agents-md)<a href="https://agentmods.dev/instructions/anivar/zod-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/anivar/zod-skill/agents-md/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/instructions/anivar/zod-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/anivar/zod-skill/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.14918 | $0.14918 |
| Opus 5.5 | $0.05967 | $0.05967 |
| Sonnet 5.5 | $0.02984 | $0.02984 |
| Haiku 4.5 | $0.01492 | $0.01492 |
Grade A, and why
zod-skill AGENTS.md 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 4d 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 — 1,645 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zod: compiled rules
Every rule in rules/, expanded, for agents that read one file. Source: SKILL.md and rules/*.md.
Baseline: zod ^4.6.0, checked against zod 4.6.7. Skill version 2.0.0.
Abstract
Zod is for runtime type validation — parsing untrusted data at system boundaries (API input, form data, env vars, external services). For compile-time-only types, plain TypeScript is sufficient.
Table of Contents
- Parsing & Type Safety — CRITICAL
- Schema Design — CRITICAL
- Refinements & Transforms — HIGH
- Error Handling — HIGH
- Performance & Composition — MEDIUM
- v4 Migration — MEDIUM
- Advanced Patterns — MEDIUM
- Architecture & Boundaries — CRITICAL/HIGH
- Observability — HIGH/MEDIUM
1. Parsing & Type Safety
Impact: CRITICAL
Use safeParse() for User Input
parse-use-safeParse · CRITICAL · Use safeParse() instead of parse() to avoid throwing on invalid input.
Problem
parse() throws a ZodError on invalid input. Wrapping it in try/catch is verbose and error-prone — you lose the discriminated success/error result and risk catching unrelated errors.
Incorrect
const UserSchema = z.object({ name: z.string(), email: z.email() })
// BUG: try/catch is verbose and catches unrelated errors
function validateInput(data: unknown) {
try {
const result = UserSchema.parse(data)
return { success: true, data: result }
} catch (e) {
if (e instanceof z.ZodError) {
return { success: false, errors: e.issues }
}
throw e // rethrow non-Zod errors
}
}
Correct
function validateInput(data: unknown) {
const result = UserSchema.safeParse(data)
if (!result.success) {
return { success: false, errors: result.error.issues }
}
return { success: true, data: result.data }
}
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.
- 4d ago Changed · +980 lines · +9,912 tokens per session b0efadda2b6c
- 19d ago Changed · +11 lines · +404 tokens per session a42150314319
- 2mo ago First seen · 654 lines · 4,602 tokens per session scan A 13bc5e438148
zod-skill AGENTS.md is an instructions file published in the GitHub repository anivar/zod-skill (24 stars, last pushed 4d ago), licensed MIT. It adds 14,918 tokens to every session, about $0.0597 per session on Opus 5.5. 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.
zod-skill AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| zod-skill AGENTS.mdanivar/zod-skill | Instructions file | 24 | 4d ago | MIT | A | 14,918 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |