orchestrate-schema-guardrails

orchestrate-schema-guardrails is a skill for Claude Code, Codex from NITISH-R-G/hackerrank-orchestrate-skills. It costs 100 tokens per session (663 once invoked), scanned A, original, MIT.

A validation guide for checking language-model output before it is written to output.csv. It covers fixed schemas, allowed label values, and retries when the generated data is malformed.

In plain words
What is it for?
Defining output schemas, validating generated fields, rejecting unsupported values, retrying malformed responses, and protecting CSV-producing code.
Why use it?
Language models may return unexpected labels, casing, fields, or formatting. Validation stops those responses from becoming invalid rows or breaking mechanical grading.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Defining output schemas, validating generated fields, rejecting unsupported values, retrying malformed responses, and protecting CSV-producing code.

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Install with agentmods
npx agentmods add skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-schema-guardrails
Install

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.

Any agent
npx skills add NITISH-R-G/hackerrank-orchestrate-skills --skill orchestrate-schema-guardrails
Clone the repo
git clone --depth 1 https://github.com/NITISH-R-G/hackerrank-orchestrate-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for orchestrate-schema-guardrails

README.md
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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.

agentmods 80×15 button for orchestrate-schema-guardrails

Your own site · 80×15
<a href="https://agentmods.dev/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-schema-guardrails"><img src="https://agentmods.dev/badge/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-schema-guardrails.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 663 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00100 $0.00663
Opus 5 $0.00050 $0.00331
Sonnet 5 $0.00020 $0.00133
Haiku 4.5 $0.00010 $0.00066

Measured 11d ago against content hash d018dc6db0c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

orchestrate-schema-guardrails 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 11d 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.

skills/orchestrate-schema-guardrails/SKILL.md · 28 lines

How it starts

The opening of the file, as written. The whole thing — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchestrate: Schema Guardrails

Direct evidence: HackerRank's own "Getting better at Orchestrate" post names this explicitly as recommended practice — "Build guardrails around LLM outputs—validate schemas, reject unsupported labels, retry malformed responses." This is not inferred; it's stated advice from the organizers.

Why this is scored, not just good practice

Every Orchestrate challenge defines a fixed output schema (status ∈ {replied, escalated}, request_type ∈ {product_issue, feature_request, bug, invalid} for the support challenge; claim_status ∈ {supported, contradicted, not_enough_information} for the multi-modal challenge). An LLM will occasionally emit a value outside that set — a synonym, a slightly different casing, an extra field. Left unguarded, that becomes a malformed row in output.csv, which is graded mechanically against a golden dataset. A malformed row doesn't get "partial credit for being close" — it's either wrong or it breaks the grading script's parse.

The guardrail pattern

  1. Define the schema once, in code, not in a prompt comment. An enum/constant list the validator imports — not a string embedded in the prompt that the validator has no way to check against.
  2. Validate every model response against it before writing a row. Check required fields are present, enum fields are in the allowed set, and free-text fields aren't empty when required.
  3. On failure, retry with the failure fed back to the model — "you returned status: closed, which isn't a valid value; valid values are replied or escalated" — rather than silently coercing or discarding.
  4. Cap retries and have a defined fallback (see orchestrate-failure-handling for what that fallback should be — never a silent guess).

What this looks like in review

An interviewer or code reviewer who opens your validation module should immediately see: the schema, the check, the retry, the fallback. If that logic is scattered across the codebase or absent entirely — if a bad model response can reach output.csv unfiltered — that's a concrete, checkable gap, not a matter of opinion.

Read the full file on GitHub · 28 lines

Changes

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.

  1. 11d ago First seen · 28 lines · 100 tokens per session scan A d018dc6db0c2

Subscribe to this mod's changes

orchestrate-schema-guardrails is a skill published in the GitHub repository NITISH-R-G/hackerrank-orchestrate-skills (3 stars, last pushed 29d ago), licensed MIT. It adds 100 tokens to every session and 663 once invoked, about $0.0005 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 2026-08-31.

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