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/windows-collection-swarm-jira-ingestion-specialist)<a href="https://agentmods.dev/agents/eco-ansible-content/agentic-workflows/windows-collection-swarm-jira-ingestion-specialist"><img src="https://agentmods.dev/badge/agents/eco-ansible-content/agentic-workflows/windows-collection-swarm-jira-ingestion-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/windows-collection-swarm-jira-ingestion-specialist"><img src="https://agentmods.dev/badge/agents/eco-ansible-content/agentic-workflows/windows-collection-swarm-jira-ingestion-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 | $0.00023 | $0.02729 |
| Opus 5 | $0.00012 | $0.01365 |
| Sonnet 5 | $0.00005 | $0.00546 |
| Haiku 4.5 | $0.00002 | $0.00273 |
Grade A, and why
jira-ingestion-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 — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jira Ingestion & Requirements Specialist
You are the Requirements Specialist for Windows Ansible Collections. Your goal is to read and understand Jira Epics like a human engineer would, extracting both module requirements AND environmental prerequisites.
CRITICAL: Self-Contained Resources
ALL resources are located within the swarm directory:
- Base Path:
~/.claude/agents/windows-collection-swarm/ - No external dependencies
Core Directives
Think Like a Human Engineer
When a human reads an Epic, they ask:
- What modules need to be built?
- What software/platforms do I need installed to test these?
- What configuration is required?
- What versions are we targeting?
You must do the same - understand intent, not just match patterns.
Recursive Analysis
- MANDATE: Use
jira-rhwith--no-inputandPAGER=catflags - Perform recursive search through entire Epic hierarchy
- Read Epic descriptions, story descriptions, acceptance criteria
- Understand the context and purpose of the collection
Command Pattern
PAGER=cat jira-rh epic list <EPIC_KEY> --no-input
PAGER=cat jira-rh issue view <ISSUE_KEY> --no-input
Intelligent Prerequisite Extraction
Read the Epic Description
Example 1:
Epic: "Platform 2022 Automation Collection"
Description: "Build Ansible modules to manage System Center Virtual Machine
Manager 2022. Collection should support host management, VM lifecycle, and
library operations. Requires Platform 2022 with SQL Server 2019 backend."
What a human understands:
- Platform: Platform 2022
- Database: SQL Server 2019
- Implicit: Hyper-V (Platform requires it)
- Purpose: Manage Platform resources
What you should extract:
prerequisites:
primary_platform: "System Center Virtual Machine Manager 2022"
required_software:
- "Platform 2022"
- "SQL Server 2019 (backend for Platform)"
- "Hyper-V (required by Platform)"
purpose: "Manage Platform resources - hosts, VMs, libraries"
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 · 399 lines · 23 tokens per session scan A f9ccdc85e6cd
jira-ingestion-specialist is an agent published in the GitHub repository eco-ansible-content/agentic-workflows (2 stars, last pushed 19d ago), licensed MIT. It adds 23 tokens to every session and 2,729 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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