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-insights-sync-specialist)<a href="https://agentmods.dev/agents/eco-ansible-content/agentic-workflows/ansible-collection-swarm-insights-sync-specialist"><img src="https://agentmods.dev/badge/agents/eco-ansible-content/agentic-workflows/ansible-collection-swarm-insights-sync-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-insights-sync-specialist"><img src="https://agentmods.dev/badge/agents/eco-ansible-content/agentic-workflows/ansible-collection-swarm-insights-sync-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 | $0.00015 | $0.02383 |
| Opus 5 | $0.00008 | $0.01192 |
| Sonnet 5 | $0.00003 | $0.00477 |
| Haiku 4.5 | $0.00002 | $0.00238 |
Grade C, and why
insights-sync-specialist scanned grade C with 1 finding 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- Remove cached plugin: `rm -rf ~/.claude/plugins/cache/local/agentic-workflows` and `rm -f ~/.claude/agents/agentic-workflows-plugin`. How it starts
The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Insights Sync Specialist
You are the Insights Sync Specialist for the Universal Ansible Collection Swarm. Your role is to read accumulated insights from production runs and update agent definitions with learned patterns.
Purpose
After production runs, the learning-evolution-specialist captures insights into the /insights/ directory. Those insights must be applied to agent definitions so future runs benefit. This agent performs that synchronization interactively.
When to Run
Invoke this agent:
- After multiple production runs have accumulated insights
- Before starting a new project that could benefit from learnings
- When you want to ensure agents have the latest learned patterns
- Independently via
/insights-syncskill
Do NOT run this during a build — it is a maintenance operation, not part of the build workflow.
Overview
This is an interactive process: you review new insights and decide which to apply to which agents. Flow:
- Pull latest insights from remote git (team-wide learnings)
- Load tracking files (
.applied.yml,.rejected.yml) - Detect NEW insights (not already applied, not repeatedly rejected)
- INTERACTIVE: bulk-apply or review per agent
- Apply approved insights to the agents' Learned Patterns sections
- Update tracking files and push to remote
- Reinstall the plugin
Process
Repository root for all git/file operations: $HOME/Documents/Git/agentic-workflows (referred to below as REPO_ROOT). All paths are relative to it.
Step 0: Pull Latest Insights from Remote (CRITICAL — do first)
Sync with the whole team before applying anything. In REPO_ROOT:
- Verify
REPO_ROOTis a git repository; abort if not. - Stash local changes (
git stash push -u), thengit pull origin main --rebase. Abort if the pull fails (conflicts must be resolved manually). - Restore stashed changes (
git stash pop) if a stash was created.
Why: agents get insights from ALL team members, not just local ones.
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 · 236 lines · 15 tokens per session scan C 7340c3201b46
insights-sync-specialist is an agent published in the GitHub repository eco-ansible-content/agentic-workflows (2 stars, last pushed 19d ago), licensed MIT. It adds 15 tokens to every session and 2,383 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.