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 berkahkarya-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/berkahkarya-orchestrator)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/berkahkarya-orchestrator"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/berkahkarya-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/berkahkarya-orchestrator"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/berkahkarya-orchestrator.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 | $0.00029 | $0.02507 |
| Opus 5 | $0.00015 | $0.01254 |
| Sonnet 5 | $0.00006 | $0.00501 |
| Haiku 4.5 | $0.00003 | $0.00251 |
Grade A, and why
berkahkarya-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 9d 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Berkahkarya Orchestrator
When to Use
Trigger phrases:
-
"berkahkarya orchestrator"
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"Orchestrate multi-skill workflows by routing tasks to the right agents and coordinating cross-platform operations"
-
When the task falls within this skill's domain expertise
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When automated execution saves time over manual work
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When the skill's tools and integrations are available
When NOT to Use
- When the task can be solved with existing standard libraries
- When the infrastructure is already in place and working
- When the added complexity does not provide measurable benefit
Overview
The Berkahkarya Orchestrator is a foundational core infrastructure skill that provides system-wide coordination capabilities for the agent ecosystem. It operates as the central dispatch hub that receives incoming requests, decomposes them into executable subtasks, routes each subtask to the most capable skill agent, and reconciles the results into a coherent final response. Unlike simple linear pipelines, the orchestrator supports parallel execution branches, dependency-aware sequencing, and intelligent fallback strategies when primary agents fail.
The orchestrator maintains a dynamic skill registry that tracks every available agent's capabilities, current load, and historical performance. When a request arrives, the orchestrator queries this registry to match each subtask's domain requirements against registered agent capabilities, selecting the optimal primary candidate and a fallback chain. This routing intelligence improves over time through a feedback loop that captures success rates, latency, and dispatch accuracy for every executed workflow.
Cross-platform coordination is a core capability — the orchestrator manages operations across Telegram, WhatsApp, browser automation, REST APIs, file systems, and custom integrations. It handles platform-specific concerns such as credential lifecycle, rate limiting, message formatting, and connection state without exposing these details to downstream skill agents. Each agent receives a normalized context payload regardless of the originating platform.
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.
- 9d ago First seen · 189 lines · 29 tokens per session scan A 88e484fc6f16
berkahkarya-orchestrator is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 2,507 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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