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 NITISH-R-G/hackerrank-orchestrate-skills --skill orchestrate-mentorgit clone --depth 1 https://github.com/NITISH-R-G/hackerrank-orchestrate-skillsWrote 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/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-mentor)<a href="https://agentmods.dev/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-mentor"><img src="https://agentmods.dev/badge/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-mentor/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/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-mentor"><img src="https://agentmods.dev/badge/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-mentor.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 | $0.00048 | $0.00838 |
| Opus 5 | $0.00024 | $0.00419 |
| Sonnet 5 | $0.00010 | $0.00168 |
| Haiku 4.5 | $0.00005 | $0.00084 |
Grade A, and why
orchestrate-mentor 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestrate: Orchestrate Mentor
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.
What this is for
Every other audit tells you what you did. This one runs before the change, when the decision is still cheap.
The five questions, in order
1. What is the ceiling? Is a gain even possible? Measure the maximum achievable improvement before building anything.
Real example: before building a vision model, three checks — labeled image rows were already 5/5 (headroom: zero); 13 of 15 graded image rows were decided by rules that never read media; and an exhaustively-tuned pixel classifier reached 19/20 while failing on the one image it existed to serve. Three independent proofs of "no", in an afternoon.
2. Has this been tried? Check your rejection log. Re-proposing a measured failure is a regression, not an idea.
3. What is the blast radius? Not "does it help" but "how many outputs change".
Real example: a ranker swap gained +1 row on one metric while changing 23 of 110 output cells — 21% of the submission, for a gain whose confidence interval spanned ±0.17. Rejected. A later ranker change was accepted because it had a diagnosed mechanism, not just an aggregate wiggle.
4. What will I measure, and what would falsify it? Name the metric before writing the change. Otherwise you will run five and report the one that moved.
5. What does it cost? Every change has a cost column. Runtime, memory, a new dependency, a lost guarantee.
Real example: enabling a local OCR engine changed 0 of 110 rows while taking runtime from 0.25s to ~45s and heap from 7 MB to 500 MB. That was still the right call — the spec requires reading images — but it is a trade, and the README says so.
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.
- 10d ago First seen · 85 lines · 0 tokens per session scan A 25309408256b
orchestrate-mentor is a skill published in the GitHub repository NITISH-R-G/hackerrank-orchestrate-skills (3 stars, last pushed 29d ago), licensed MIT. It adds 48 tokens to every session and 838 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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