orchestrate-interview-coach

orchestrate-interview-coach is a skill for Claude Code, Codex from NITISH-R-G/hackerrank-orchestrate-skills. It costs 45 tokens per session (828 once invoked), scanned A, original, MIT.

A preparation guide for interviews with an AI judge about an Orchestrate submission or similar system. It focuses on knowing the system’s fixed values, state boundaries, evidence, and documented claims.

In plain words
What is it for?
Preparing constants and their sources, explaining retrieval or system decisions, documenting state boundaries, and writing accurate defensive documentation before an interview.
Why use it?
It helps prevent unsupported claims and uncertainty about important implementation choices during questioning. Recording where each value came from makes technical answers easier to defend.

Skill for Claude CodeCodex

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

Good fit Preparing constants and their sources, explaining retrieval or system decisions, documenting state boundaries, and writing accurate defensive documentation before an interview.

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Install with agentmods
npx agentmods add skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-interview-coach
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-interview-coach
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-interview-coach

README.md
[![agentmods](https://agentmods.dev/badge/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-interview-coach/github.svg)](https://agentmods.dev/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-interview-coach)
Your own site
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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-interview-coach

Your own site · 80×15
<a href="https://agentmods.dev/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-interview-coach"><img src="https://agentmods.dev/badge/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-interview-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 828 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 $0.00045 $0.00828
Opus 5 $0.00023 $0.00414
Sonnet 5 $0.00009 $0.00166
Haiku 4.5 $0.00005 $0.00083

Measured 10d ago against content hash 402b9bbace7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

orchestrate-interview-coach 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 10d 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-interview-coach/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchestrate: Interview Coach

Evidence tier: first-hand build (August 2026). Grounded in a completed Orchestrate submission that was audited to destruction — 48 logged defects, 9 measured-and-rejected optimisations, 17 certification scripts. Every number below was measured on that system. Nothing here claims access to HackerRank's internal scoring.

The single highest-value preparation

Know your constants. Direct feedback from an actual Orchestrate AI judge:

"Owning every number in your code is part of owning the decision."

The criticism came after a deep, otherwise-positive technical discussion. The participant could not recall the retrieval hyperparameters they had shipped.

Build a CONSTANTS.md with a provenance column before the interview:

Provenance Meaning How to answer
MEASURED an experiment chose it; another value scored worse give the number and the losing alternative
SPEC fixed by the problem statement or observed labels cite the line
STANDARD a canonical value from the literature, not tuned by you say exactly that
BOUND derived from an external standard cite the standard
JUDGEMENT reasoned, not measured say so, and give the reasoning

Why the provenance column matters more than the numbers. Claiming "chosen after evaluation" for a value you took from a textbook is a fabrication that collapses under one follow-up ("show me the sweep"). The strong answer is:

"Those are the canonical defaults. I deliberately did not tune them — tuning two hyperparameters against 28 labeled rows is how you overfit a hidden set."

That converts the weakest point into a demonstration of discipline.

What judges reward

Observed in a real interview: the judge closed by praising "measuring your own assumptions and being willing to reject changes that didn't improve things."

So lead with your rejections. "We use embeddings" is a claim anyone can make. "We measured embeddings at F1 0.479 against 0.512 for lexical and did not ship them" cannot be faked.

Read the full file on GitHub · 74 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. 10d ago First seen · 74 lines · 0 tokens per session scan A 402b9bbace7e

Subscribe to this mod's changes

orchestrate-interview-coach is a skill published in the GitHub repository NITISH-R-G/hackerrank-orchestrate-skills (3 stars, last pushed 29d ago), licensed MIT. It adds 45 tokens to every session and 828 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 2026-08-31.

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