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 aiappsgbb/awesome-gbb --skill foundry-agtgit clone --depth 1 https://github.com/aiappsgbb/awesome-gbbWrote 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/aiappsgbb/awesome-gbb/foundry-agt)<a href="https://agentmods.dev/skills/aiappsgbb/awesome-gbb/foundry-agt"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/foundry-agt/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/aiappsgbb/awesome-gbb/foundry-agt"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/foundry-agt.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 | $0.00222 | $0.06620 |
| Opus 5 | $0.00111 | $0.03310 |
| Sonnet 5 | $0.00044 | $0.01324 |
| Haiku 4.5 | $0.00022 | $0.00662 |
Grade A, and why
foundry-agt 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 yesterday.
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 — 524 lines — stays where its author put it; the contents beside it link to each section on GitHub.
foundry-agt — Microsoft Agent Governance Toolkit, in-process (Path A)
Status: AGT 4.1.0 (Public Preview, MIT) + selective Microsoft Agent Framework (MAF) packages. Exact pinned versions, the released-source SHA, and the executable validation script are the single source of truth in
references/upstream-pin.md— re-run itsvalidation.scriptbefore trusting any re-pin (AGENTS.md § 9).AGT 4.1 is Public Preview.
agt verifyis toolkit self-assessment, not certification, an independent audit, or a guarantee that a workload meets every organizational or regulatory control.
Why action governance matters
A system-prompt instruction like "never call delete_account" is a
request to the model, not an enforcement point — a jailbroken or
mis-routed turn can still emit the tool call. AGT moves that check out
of the model and into middleware that runs before the tool function
executes: CapabilityGuardMiddleware inspects the real
FunctionInvocationContext for every tool invocation and decides
allow/deny deterministically, in-process, before call_next() (the
actual tool body) ever runs. A denied call raises
MiddlewareTermination and the tool body never executes at all — this
is proven locally by
references/python/contract_probe.py,
not just asserted from upstream documentation.
Scope & ownership
For the complete per-agent adoption and release-evidence workflow, see
foundry-agentops. This skill remains
authoritative for AGT policy authoring and in-process runtime governance;
AgentOps aggregates evidence and never replaces those enforcement controls.
| Concern | Owner | Notes |
|---|---|---|
| Action / tool-call plane — may the agent invoke this named tool at all? | This skill (AGT) | Deterministic, in-process, pre-execution by tool name. Argument validation remains the caller's / tool-body's responsibility. |
| Message / token content — is this text safe to send or show? | Azure AI Content Safety | A different plane entirely; pair with AGT, don't substitute for it. |
| Edge auth, rate limiting, product policy | APIM / gateway — see citadel-spoke-onboarding |
Gates the HTTP edge; AGT gates inside the tool loop. |
| Network isolation (VNet, private endpoints) | foundry-vnet-deploy |
Network plane, not policy plane. |
| Quality / task-adherence evaluation | foundry-evals |
AGT governs the safety of actions, not answer quality. |
| Telemetry plumbing (App Insights, OTel exporters) | foundry-observability |
AGT emits CloudEvents; this skill owns the pipe they flow through. |
What ships with it
9 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.
- references/maf-middleware-snippet.py 5.2 KB runs code
- references/policies/default.yaml 1.7 KB
- references/policies/pii-deny.yaml 2.7 KB
- references/python/__init__.py 58 B runs code
- references/python/capability_detector.py 11 KB runs code
- references/python/contract_probe.py 36 KB runs code
- references/python/live_t3_probe.py 20 KB runs code
- references/upstream-pin.md 17 KB
- test-fixture/consumer_prompt.md 11 KB
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.
- yesterday Changed · +5 lines 4f6ffb62c986
- 9d ago First seen · 519 lines · 222 tokens per session scan A 5f5e55cd22c9
foundry-agt is a skill published in the GitHub repository aiappsgbb/awesome-gbb (5 stars, last pushed 2d ago), licensed MIT. It adds 222 tokens to every session and 6,620 once invoked, about $0.0011 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…