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 OpenLAIR/OpenSkill --skill evo-parallel-determinismgit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-parallel-determinism)<a href="https://agentmods.dev/skills/openlair/openskill/evo-parallel-determinism"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-parallel-determinism/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/openlair/openskill/evo-parallel-determinism"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-parallel-determinism.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 | $0.00039 | $0.00276 |
| Opus 5 | $0.00019 | $0.00138 |
| Sonnet 5 | $0.00008 | $0.00055 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
evo-parallel-determinism 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 yesterday.
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.
What it actually says
Parallel Determinism
Overview
Ensures parallel results match sequential exactly by handling:
- Floating-point accumulation order
- Tie-breaking in result sorting
- Pickling compatibility for multiprocessing
- Safe context selection (fork vs spawn)
Key Principles
- FP Ordering: Iterate query terms in same order as sequential (dict insertion order)
- Tie-breaking: Sort by (-score, doc_id) for deterministic ordering
- Pickling: Define NamedTuples/dataclasses at module level
- Context: Use 'fork' on Linux for performance (copy-on-write)
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-parallel-determinism/scripts')
from utils import (
deterministic_score_accumulation,
stable_sort_results,
get_safe_mp_context
)
Functions
deterministic_score_accumulation(query_vector, doc_vector)- FP-safe dot productstable_sort_results(results)- Sort with deterministic tie-breakingget_safe_mp_context()- Get appropriate multiprocessing context
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 36 lines · 39 tokens per session scan A 51560bf0918f
evo-parallel-determinism is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed 2d ago), licensed Apache-2.0. It adds 39 tokens to every session and 276 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 2026-09-11.
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