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 J-Pster/Psters_AI_Workflow --skill orchestrating-multi-agentsgit clone --depth 1 https://github.com/J-Pster/Psters_AI_WorkflowWrote 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/j-pster/psters_ai_workflow/orchestrating-multi-agents)<a href="https://agentmods.dev/skills/j-pster/psters_ai_workflow/orchestrating-multi-agents"><img src="https://agentmods.dev/badge/skills/j-pster/psters_ai_workflow/orchestrating-multi-agents/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/j-pster/psters_ai_workflow/orchestrating-multi-agents"><img src="https://agentmods.dev/badge/skills/j-pster/psters_ai_workflow/orchestrating-multi-agents.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 | $0.00032 | $0.00278 |
| Opus 5 | $0.00016 | $0.00139 |
| Sonnet 5 | $0.00006 | $0.00056 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
orchestrating-multi-agents 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.
What it actually says
Orchestrating Multi-Agents
Use this skill when a task benefits from parallel specialist analysis or implementation.
When to use
- Independent research tracks (architecture, security, performance)
- Cross-repo impact analysis
- Large review surfaces requiring specialized reviewers
- Structured synthesis from multiple viewpoints
Guardrails
- Keep one orchestrator owner for final merge.
- Split tasks by clear responsibility boundaries.
- Run only independent tasks in parallel.
- Merge into one deterministic decision/report.
- For high-risk autonomous actions, ask user before execution.
Execution pattern
- Define 2-4 parallel lanes with explicit deliverables.
- Launch subagents simultaneously.
- Require concise, structured outputs from each lane.
- Resolve conflicts explicitly (do not average contradictions).
- Produce final plan/report with rationale and chosen direction.
Naming convention
In prompts, reference agents with collision-safe namespace:
psters-ai-workflow:<category>:<agent-name>
Anti-patterns
- Parallelizing dependent tasks that need sequencing
- Letting subagents mutate broad code areas without clear ownership
- Returning multiple conflicting answers without a final merged decision
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 · 44 lines · 32 tokens per session scan A d213d037e744
orchestrating-multi-agents is a skill published in the GitHub repository J-Pster/Psters_AI_Workflow (289 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 278 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 2026-08-30.
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