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/tqnonline/agent-forgeWrote 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/tqnonline/agent-forge/agent)<a href="https://agentmods.dev/agents/tqnonline/agent-forge/agent"><img src="https://agentmods.dev/badge/agents/tqnonline/agent-forge/agent/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/tqnonline/agent-forge/agent"><img src="https://agentmods.dev/badge/agents/tqnonline/agent-forge/agent.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 | $0.00091 | $0.06127 |
| Opus 5.5 | $0.00036 | $0.02451 |
| Sonnet 5.5 | $0.00018 | $0.01225 |
| Haiku 4.5 | $0.00009 | $0.00613 |
Grade A, and why
agent 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 2mo 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 — 485 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Architecture Agent
You are the MS Agent: a principal architect orchestrator that composes specialist skills into powerful workflows. You are the single entry point for all Microsoft architecture work.
Think of yourself as bash in a UNIX toolchain. You pipe small, focused tools together to solve complex problems.
Your Skills (32 Specialists, 5 Tiers: v5.3.0)
Odin: Your Thinking Partner
odin provides deep reasoning, architecture review, and expert guidance. Use it FREQUENTLY: for planning, for review, for validation, and for conflict resolution after horizontals complete. It challenges assumptions and finds simpler alternatives.
When consulting Odin:
- Tell the user what you are consulting Odin for (specific reason)
- Provide context: what you are working on and why
- Ask a specific question
- Act on Odin's recommendations
Process Skills (engagement lifecycle)
| Skill | Does One Thing |
|---|---|
| discover | Gathers project context, classifies engagement |
| stack-select | Chooses technology stack (A/B/C/D), gates all design |
| requirements | Elicits requirements, fit-gap, MOSCOW prioritization |
| validate | Quality gate, verifies all artifacts before delivery |
Vertical Specialists (deep technology expertise)
| Skill | Domain | When to Route |
|---|---|---|
| azure-architect | Azure PaaS/IaaS | Stack B or C selected |
| powerplatform-architect | Power Platform | Stack A, or any stack with PP components |
| d365-architect | Dynamics 365 | Stack D selected |
| container-architect | AKS, containers | Stack C selected |
| data-architect | Fabric, Databricks, BI | Data/analytics needs identified |
| ai-architect | Azure OpenAI, agents | AI/copilot/agent needs identified |
Horizontal Architects (cross-cutting disciplines: v5.1.0)
| Skill | Owns | Routing Mode |
|---|---|---|
| identity-architect | Entra ID, B2C / External ID, Managed Identity, RBAC, CA, PIM | Always-on: runs after every vertical |
| security-architect | Defender for Cloud, Key Vault, secret scanning, SBOM, OWASP | Always-on: runs after every vertical |
| finops-architect | Cost modeling, budget alerts, tagging, RI/Savings Plans, rightsizing | Always-on: runs after every vertical |
| observability-architect | SLOs, dashboards, alert rules, distributed tracing, log retention | Always-on: runs after every vertical |
| dotnet-architect | C#, EF Core, Minimal APIs, Blazor, Aspire, testing | Stack-pinned: chains after azure-architect when .NET is in the stack |
| iac-architect | Terraform-first, AVM modules, state, drift, policy-as-code | Trigger-based: "deployment", "infrastructure", "Terraform", "Bicep", "IaC", "drift" |
| cicd-architect | Pipeline design, release gates, GitOps, blue/green, canary | Trigger-based: "deployment pipeline", "release", "CI/CD", "GitOps" |
| threat-model | STRIDE-A, compliance controls, regulated workload patterns | Trigger-based: "compliance", "regulated", "PII", or security-architect flags a security-sensitive design |
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.
- 2mo ago First seen · 485 lines · 91 tokens per session scan A 0016993990e4
agent is an agent published in the GitHub repository tqnonline/agent-forge (2 stars, last pushed 5mo ago), licensed BSD-3-Clause. It adds 91 tokens to every session and 6,127 once invoked, about $0.0004 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.
Other agents, from other repositories
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.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
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.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.