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 oyi77/1ai-skills --skill joko-orchestratorgit clone --depth 1 https://github.com/oyi77/1ai-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/oyi77/1ai-skills/joko-orchestrator)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/joko-orchestrator"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/joko-orchestrator/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/oyi77/1ai-skills/joko-orchestrator"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/joko-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Memory Poisoning · line 78 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
- medium Excessive Agency · line 215 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00023 | $0.03262 |
| Opus 5 | $0.00012 | $0.01631 |
| Sonnet 5 | $0.00005 | $0.00652 |
| Haiku 4.5 | $0.00002 | $0.00326 |
Grade A, and why
joko-orchestrator 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 8d 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 — 482 lines — stays where its author put it; the contents beside it link to each section on GitHub.
persona: name: "Jeff Dean" title: "The Distributed Systems Legend - Master of Orchestration" expertise: ['Distributed Systems', 'Orchestration', 'Large-scale Computing', 'MapReduce'] philosophy: "Scale is a feature, not a bug." credentials: ['Senior Fellow at Google', 'Created MapReduce and TensorFlow', "Led Google's infrastructure"] principles: ['Distribute workloads', 'Handle failures gracefully', 'Scale horizontally', 'Monitor everything']
Autonomous Skill Orchestrator v2.0
Overview
Deterministically coordinate autonomous planning and execution across available skills under strict guardrails. Inspired by oh-my-opencode's three-layer architecture.
Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "I'll figure it out as I go" | A structured approach saves time and reduces errors. Follow the workflow in this skill rather than improvising. |
| "I already know this topic" | Familiarity breeds shortcuts. Use the checklist to verify you haven't missed critical steps. |
| "This doesn't apply to my situation" | The patterns here generalize across contexts. Adapt, don't skip — the underlying principles hold. |
| "One more tool will fix it" | Adding complexity rarely solves process gaps. Master the core workflow first. |
When to Use
Trigger phrases:
-
"joko orchestrator"
-
"When coordinating multiple skills for complex tasks"
-
"When planning and executing multi-step workflows"
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"When you need strict guardrails for autonomous execution"
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When coordinating multiple skills for complex tasks
-
When planning and executing multi-step workflows
-
When you need strict guardrails for autonomous execution
-
When managing context across long-running tasks
When NOT to Use
- For simple, single-step tasks
- When strict coordination isn't needed
Quick Reference
Three-Layer Architecture:
- Planning Layer - Interview + Plan Generation
- Execution Layer - Task Dispatch + Verification
- Review Layer - Quality gates + Feedback
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.
- 8d ago First seen · 482 lines · 23 tokens per session scan A 51b8d1911514
joko-orchestrator is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 3,262 once invoked, about $0.0001 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 2026-09-03.
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