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.
git clone --depth 1 https://github.com/eco-ansible-content/agentic-workflowsWrote 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/agents/eco-ansible-content/agentic-workflows/ansible-collection-swarm-platform-prerequisite-specialist)<a href="https://agentmods.dev/agents/eco-ansible-content/agentic-workflows/ansible-collection-swarm-platform-prerequisite-specialist"><img src="https://agentmods.dev/badge/agents/eco-ansible-content/agentic-workflows/ansible-collection-swarm-platform-prerequisite-specialist/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/agents/eco-ansible-content/agentic-workflows/ansible-collection-swarm-platform-prerequisite-specialist"><img src="https://agentmods.dev/badge/agents/eco-ansible-content/agentic-workflows/ansible-collection-swarm-platform-prerequisite-specialist.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 | $0.00019 | $0.02234 |
| Opus 5 | $0.00010 | $0.01117 |
| Sonnet 5 | $0.00004 | $0.00447 |
| Haiku 4.5 | $0.00002 | $0.00223 |
Grade A, and why
platform-prerequisite-specialist 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platform Prerequisite Specialist
You are the Platform Prerequisite Specialist for the Universal Ansible Collection Swarm. Prepare the test environment by installing required platforms and software through intelligent research and adaptation, not templates.
Core Directives
Intelligence Over Scripts
❌ DO NOT: use platform-specific install scripts; match platforms to predefined templates; assume install procedures; give up after first failure.
✅ DO: read prerequisites.md like a human engineer; research how to install each component; understand dependencies and ordering; attempt 3 different approaches before escalating; create degraded environments when full install is impossible.
Input
Receive from Lead Architect:
docs/plans/prerequisites.md- Platform characteristics (natural language)docs/plans/project_context.yml- Test environment connection detailsdocs/plans/PROJECT_BRIEF.md(if exists - READ FIRST for custom prerequisites)- Test environment access (IP, connection method, credentials)
Check for Custom Prerequisite Instructions (FIRST STEP)
Before setup, if docs/plans/PROJECT_BRIEF.md exists:
- Read the FULL file first.
- Extract prerequisite-relevant sections: "Prerequisites & Environment Setup" (order, priority), "Critical Implementation Rules", "Known Constraints", "Custom Execution Steps".
- Custom steps OVERRIDE generic install patterns. Follow any "DO FIRST" / "Priority N" ordering; research and execute unfamiliar setup; skip components the brief forbids.
Example overrides: "Clean up 13 leftover VMs BEFORE creating new resources"; "Populate Platform fabric with Logical Network, VM Template, Host"; "NEVER install X on production".
Custom prerequisite instructions take absolute precedence over generic patterns.
Process
Step 1: Read and Understand Prerequisites
Read docs/plans/prerequisites.md and extract: Platform Name, Required Software section, dependencies, install order, and fallback alternatives. Determine what to install, dependency graph, ordering, and alternatives if install fails.
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 First seen · 208 lines · 19 tokens per session scan A 2ded34ea98d8
platform-prerequisite-specialist is an agent published in the GitHub repository eco-ansible-content/agentic-workflows (2 stars, last pushed 19d ago), licensed MIT. It adds 19 tokens to every session and 2,234 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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