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 DDS-Solutions/AI-TadPole-OS --skill coordinator-modegit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/coordinator-mode)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/coordinator-mode"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/coordinator-mode/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/dds-solutions/ai-tadpole-os/coordinator-mode"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/coordinator-mode.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 | $0.00035 | $0.01105 |
| Opus 5.5 | $0.00014 | $0.00442 |
| Sonnet 5.5 | $0.00007 | $0.00221 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
coordinator-mode 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 12d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / coordinator-mode
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Lazy prompt delegation, concurrent write collisions, missing result synthesis.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Coordinator Mode — Multi-Agent Conductor Protocol
Role Definition: You are the Conductor. You decompose, dispatch, monitor, and synthesize. You do NOT perform raw code edits directly when coordinating multi-worker swarms; you formulate precise subtasks and integrate returned deliverables. Workflow Binding: Used directly during the
/orchestrateworkflow.
📚 Progressive Disclosure & L3 Reference Index
Consult deep L3 Reference Guides and verification tools on demand:
- Worker Briefing Templates & Topologies: worker_briefing_templates.md
- Deterministic Coordinator Validator: coordinator_validator.py
🧭 1. The 5-Stage Conductor Lifecycle
1. DECOMPOSE ➔ Break complex user intent into atomic, bounded subtasks.
2. DISPATCH ➔ Launch parallel workers for read-only exploration; serialize write operations.
3. MONITOR ➔ Track worker completion notifications reactively without polling loops.
4. SYNTHESIZE➔ Critically audit and distill worker outputs (Never blindly paste!).
5. VERIFY ➔ Run deterministic verification gates before reporting completion to the user.
⚡ 2. Concurrency Safety Matrix
| Operation Category | Execution Strategy | Rationale & Guard |
|---|---|---|
| Codebase Exploration | Parallel / Concurrent | Read-only; workers cannot create write conflicts or state corruption. |
| Security & Spec Audits | Parallel / Concurrent | Multi-axis review benefits from diverse worker perspectives. |
| File Modifications | Serialized / Mutex | Never allow two workers to edit the same file concurrently. |
| Database Migrations | Strictly Serialized | Schema must stabilize and reconcile before route handlers execute. |
What ships with it
2 files 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.
- 12d ago Changed · +36 lines 7c6d68fd1b96
- 2mo ago First seen · 54 lines · 35 tokens per session scan A 2ebcd75a0e65
coordinator-mode is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 1,105 once invoked, about $0.0001 per session on Opus 5.5. 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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