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 agentmods add skills/d-o-hub/github-template-ai-agents/agent-coordinationnpx skills add d-o-hub/github-template-ai-agents --skill agent-coordinationgit clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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/d-o-hub/github-template-ai-agents/agent-coordination)<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/agent-coordination"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/agent-coordination.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.01470 |
| Opus 5 | $0.00032 | $0.00735 |
| Sonnet 5 | $0.00013 | $0.00294 |
| Haiku 4.5 | $0.00006 | $0.00147 |
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 4d 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Coordination
Coordinate multiple agents efficiently for complex development tasks across any programming language.
Session Start Protocol: Identify parallelizable work and spawn task agents immediately at the start of a session, instead of doing everything sequentially.
When to Use
- User asks to run parallel execution of independent tasks
- Need to coordinate sequential chains with dependencies
- Planning swarm analysis or iterative refinement loops
- Even if they just say "run these in parallel" or "coordinate agents"
Quick Start
Choose your coordination strategy:
- Parallel - Independent tasks (no dependencies, concurrent execution)
- Sequential - Dependent tasks (A → B → C)
- Swarm - Multi-perspective analysis
- Hybrid - Multi-phase workflows
- Iterative - Progressive refinement
Available Agents
| Agent | Best For |
|---|---|
| code-reviewer | Quality assessment, standards |
| test-runner | Execute tests, verify functionality |
| feature-implementer | Build new capabilities |
| refactorer | Improve existing code |
| debugger | Diagnose and fix issues |
| security-auditor | Find vulnerabilities |
| performance-optimizer | Speed and efficiency |
| loop-agent | Orchestrate iterations |
Parallel Execution
When to Parallelize
Tasks are independent when:
- ✓ No data dependencies
- ✓ No resource conflicts
- ✓ No ordering requirements
- ✓ Failures are isolated
How to Launch
Critical: Use single message with multiple Task tool calls:
Single message:
- Task → Agent A
- Task → Agent B
- Task → Agent C
All start simultaneously.
Patterns
Homogeneous Parallel — Same agent type, different inputs:
├─ test-runner: Test module A
├─ test-runner: Test module B
└─ test-runner: Test module C
Heterogeneous Parallel — Different agent types:
├─ code-reviewer: Quality analysis
├─ test-runner: Test execution
└─ debugger: Performance profiling
Parallel with Convergence — Parallel execution → Single synthesis:
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 226 lines · 63 tokens per session scan A 0c134d7e0b4e
agent-coordination is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 1,470 once invoked, about $0.0003 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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