Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/NITISH-R-G/hackerrank-orchestrate-skillsnpx agentmods add skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-determinism-auditorWrote 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-determinism-auditor)<a href="https://agentmods.dev/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-determinism-auditor"><img src="https://agentmods.dev/badge/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-determinism-auditor/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-determinism-auditor"><img src="https://agentmods.dev/badge/skills/nitish-r-g/hackerrank-orchestrate-skills/orchestrate-determinism-auditor.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 | $0.00046 | $0.00665 |
| Opus 5 | $0.00023 | $0.00332 |
| Sonnet 5 | $0.00009 | $0.00133 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
orchestrate-determinism-auditor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestrate: Determinism Auditor
Evidence tier: first-hand build (August 2026). Grounded in a completed Orchestrate submission that was audited to destruction — 48 logged defects, 9 measured-and-rejected optimisations, 17 certification scripts. Every number below was measured on that system. Nothing here claims access to HackerRank's internal scoring.
The rule
Same inputs, different processes, different hash seeds — one hash. And state exactly where the guarantee ends.
Why processes and seeds, not just repeated calls
Python randomises string hashing per process. Set and dict iteration order can differ between runs while looking perfectly stable within one. Two calls in the same interpreter prove almost nothing.
for seed in 0 1 42 12345 random; do
PYTHONHASHSEED=$seed python code/main.py --out /tmp/r_$seed.csv
done
sha256sum /tmp/r_*.csv # expect ONE distinct hash
What this caught in a real build
A determinism test called the pipeline twice and asserted the results matched. With an API key present it made two live network calls and asserted a hosted speech model is bit-stable. It is not — it failed on one row.
The test was not measuring the system's determinism. It was measuring someone else's uptime. Fixed with an autouse fixture clearing every credential; suite time dropped 47s → 4s because a dozen other tests had been quietly making live calls too.
State the boundary
Unqualified guarantees are false. Compare:
❌ "The system is deterministic."
✅ "Offline it is byte-identical across 5 processes and 5 hash seeds. With the hosted speech provider it is not, because that model is not bit-stable — I know the exact row where it varied. The submitted artifact is generated once, so this does not affect it."
The second survives cross-examination. The first invites one counterexample.
The checklist
- Multiple processes, multiple
PYTHONHASHSEEDvalues → one hash - Static scan for
random,uuid,time,hash(),glob,listdiron the output path; adjudicated exceptions written into the scanner, not remembered - No set or dict iteration reaching an output field
- Sorts use an explicit key and rely on stability, not luck
- Tests hermetic — credentials cleared, so results do not depend on your machine
- The boundary written down in the README
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 · 66 lines · 46 tokens per session scan A bb10d92b3fff
orchestrate-determinism-auditor is a skill published in the GitHub repository NITISH-R-G/hackerrank-orchestrate-skills (3 stars, last pushed 29d ago), licensed MIT. It adds 46 tokens to every session and 665 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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