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/winstonkoh87/Athena-Publicnpx agentmods add skills/winstonkoh87/athena-public/synthetic-parallel-reasoningWrote 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/winstonkoh87/athena-public/synthetic-parallel-reasoning)<a href="https://agentmods.dev/skills/winstonkoh87/athena-public/synthetic-parallel-reasoning"><img src="https://agentmods.dev/badge/skills/winstonkoh87/athena-public/synthetic-parallel-reasoning/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/winstonkoh87/athena-public/synthetic-parallel-reasoning"><img src="https://agentmods.dev/badge/skills/winstonkoh87/athena-public/synthetic-parallel-reasoning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.00545 |
| Opus 5 | $0.00032 | $0.00272 |
| Sonnet 5 | $0.00013 | $0.00109 |
| Haiku 4.5 | $0.00006 | $0.00055 |
Grade A, and why
synthetic-parallel-reasoning 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 12d 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.
What it actually says
Parallel Synthetic Architect (Protocol 75 Engine v4.0)
Deploys true parallel reasoning via parallel_orchestrator.py to evaluate a strategic bottleneck. Refuses single-shot answers to complex problems.
Triggers
"difficult problem", "what's the best strategy", "how should I handle this", "analyze this", /ultrathink
Core Mechanics (v4.0)
- Phase 1 (Prime): Run semantic search, build internal CoT hypothesis, write context file.
- Phase 2 (Execute): Run
parallel_orchestrator.py— this dispatches 4 parallel Gemini API calls:- Track A: Domain Expert (applies user's frameworks)
- Track B: Adversarial Skeptic (attacks premises, checks Law #1)
- Track C: Cross-Domain Pattern Matcher (finds isomorphic patterns)
- Track D: Zero-Point First Principles (inversion, RETO lens)
- Phase 3 (Deposit): Read output, present synthesis, quicksave.
Enforcement
[!CAUTION] The script execution is MANDATORY. If the LLM writes a single-pass essay instead of running the script, it has violated this protocol. A single LLM checking its own homework hits a quality ceiling (Trilateral Feedback Loop principle).
Execution
python3 .agent/scripts/parallel_orchestrator.py "<query>" \
--context-file /tmp/ultrathink_context.md \
--output .context/state/ultrathink/ultrathink_$(date +%Y%m%d_%H%M%S).md
Reference Paths
.agent/workflows/ultrathink.md(v4.0).agent/scripts/parallel_orchestrator.py(v4.0)Athena-Public/examples/protocols/decision/75-synthetic-parallel-reasoning.md
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.
- 12d ago First seen · 49 lines · 64 tokens per session scan A 17ba1045ae57
synthetic-parallel-reasoning is a skill published in the GitHub repository winstonkoh87/Athena-Public (587 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 545 once invoked, about $0.0003 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 2026-08-30.
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