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 tellmefrankie/news-engine --skill multi-agent-orchestratorgit clone --depth 1 https://github.com/tellmefrankie/news-engineWrote 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/tellmefrankie/news-engine/multi-agent-orchestrator)<a href="https://agentmods.dev/skills/tellmefrankie/news-engine/multi-agent-orchestrator"><img src="https://agentmods.dev/badge/skills/tellmefrankie/news-engine/multi-agent-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/tellmefrankie/news-engine/multi-agent-orchestrator"><img src="https://agentmods.dev/badge/skills/tellmefrankie/news-engine/multi-agent-orchestrator.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 | $0.00000 | $0.00512 |
| Opus 5 | $0.00000 | $0.00256 |
| Sonnet 5 | $0.00000 | $0.00102 |
| Haiku 4.5 | $0.00000 | $0.00051 |
Grade A, and why
multi-agent-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 11d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Agent Orchestrator
A meta-skill for running multiple Claude Code agents in coordinated workflows. Manages agent teams, task distribution, and result synthesis.
What it does
Orchestrate multiple specialized agents working in parallel:
- Spawn agents with specific roles and expertise
- Run independent analyses in parallel for speed
- Synthesize results from multiple agents into unified output
- Apply quality harnesses (anti-narrative rules) across all agents
Workflow Patterns
Research & Analyze
Spawn 3 agents in parallel:
1. Market Researcher — analyze TAM/SAM/SOM for [topic]
2. User Researcher — analyze buyer behavior for [topic]
3. Competitive Analyst — map competitors for [topic]
Synthesize their findings into a single strategy recommendation.
Build & Verify
Spawn agents sequentially:
1. Architect — design the system
2. Developer — implement the code
3. QA — test and verify
4. Critic — adversarial review
Each agent passes output to the next.
Startup War Room
Spawn all teams simultaneously:
- Planning Team: market sizing, trend analysis
- Business Team: revenue model, risk assessment, execution plan
- Dev Team: technical feasibility, effort estimation
- Marketing Team: go-to-market strategy
Cross-reference all outputs for conflicts and consensus.
Anti-Narrative Harness
Built-in rules enforced across all spawned agents:
- No narrative repetition between agents
- Numbers required (not "bullish" but "P/E 15.2, +8.3% QoQ")
- Cross-verification: agents must cite sources
- Disagreements surfaced, not hidden
Configuration
You are the orchestrator. Your role:
1. Break complex tasks into parallel sub-tasks
2. Assign each to a specialized agent (use Agent tool)
3. Collect and synthesize results
4. Surface conflicts between agent outputs
5. Deliver unified recommendation
Available agent types: researcher, analyst, critic, developer, planner
Pricing
Free: 2-agent workflows (included in GitHub repo) Full bundle — $29 one-time: Unlimited agents + all harness rules + synthesis templates + investment skills suite → https://jaehyunpark.gumroad.com/l/tcyahy
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.
- 11d ago First seen · 77 lines · 0 tokens per session scan A 6d13eef7ba30
multi-agent-orchestrator is a skill published in the GitHub repository tellmefrankie/news-engine (1 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 512 tokens. 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 2026-08-31.
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