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 ils15/pantheon-legacy --skill agent-coordinationgit clone --depth 1 https://github.com/ils15/pantheon-legacyWrote 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/ils15/pantheon-legacy/agent-coordination)<a href="https://agentmods.dev/skills/ils15/pantheon-legacy/agent-coordination"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/agent-coordination/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/ils15/pantheon-legacy/agent-coordination"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/agent-coordination.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 | $0.00026 | $0.00678 |
| Opus 5 | $0.00013 | $0.00339 |
| Sonnet 5 | $0.00005 | $0.00136 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
agent-coordination 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Coordination
Master guide to orchestrating the multi-agent system. Includes category routing, model selection, and sprint management for rapid, TDD-driven feature development.
Agent Hierarchy
See AGENTS.md for the full agent table.
Category Routing
Route tasks to optimized agents based on category instead of specifying agents manually:
| Category | Agent | Use For |
|---|---|---|
| Deep | Athena, Hephaestus | Complex planning, AI pipelines |
| Quick | Talos, Apollo | Fast fixes, codebase search |
| Ultrabrain | Zeus | Multi-agent orchestration, model routing |
Sprint Workflow
1. User describes feature
2. @athena creates PLAN with phases and agents
3. User approves PLAN (GATE 1)
4. Zeus dispatches agents to phases (parallel when possible)
5. Each agent: TDD cycle → writes IMPL artifact
6. @themis reviews all phases (GATE 2)
7. User reviews Themis findings
8. If approved → user commits (GATE 3)
9. @mnemosyne updates memory bank
Parallel Execution Declaration
🔀 PARALLEL EXECUTION — Phase 2
Running simultaneously:
- @hermes → backend tests → .tmp/IMPL-phase2-hermes.md
- @aphrodite → frontend → .tmp/IMPL-phase2-aphrodite.md
- @demeter → migrations → .tmp/IMPL-phase2-demeter.md
Themis reviews all three after completion.
Artifact Protocol
All phase outputs go to .pantheon/memory-bank/.tmp/. See skill: artifact-management for the complete protocol (who generates what, templates, lifecycle).
Safety Gates
| Gate | When | Why |
|---|---|---|
| GATE 1 | After PLAN | User confirms scope |
| GATE 2 | After Themis review | User sees changes |
| GATE 3 | Before git commit | User controls history |
Model Selection
Model routing is handled by Prometheus and the platform configuration. Zeus delegates model selection to the tier system (fast / default / coding / premium).
- Deep tasks → High-quality models (Claude, GPT-4)
- Quick tasks → Fast/cheap models (Haiku, 4o-mini)
- Visual tasks → Multimodal models (GPT-4V, Claude Vision)
- Cost optimization → Route to cheapest model that meets quality bar
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 · 96 lines · 26 tokens per session scan A cfd040ef29e3
agent-coordination is a skill published in the GitHub repository ils15/pantheon-legacy (10 stars, last pushed 6d ago), licensed MIT. It adds 26 tokens to every session and 678 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 2026-08-31.
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