Agent Governance Toolkit (AGT) Agent Skill

Use for runtime policy enforcement and governance of AI agents with Microsoft's Agent Governance Toolkit (AGT).

Context cost
43.3k tokensestimated from the bundle, loaded when it triggers
Bundle
5 files · 173.3 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Use for runtime policy enforcement and governance of AI agents with Microsoft's Agent Governance Toolkit (AGT). Best for production tool-call policy gates, approval gates, tool allowlists and deny rules, guardrails on what agents can do, policy modes (evaluate-only/enforce), audit trails and evidence, kill switches, cost guards, trust scoring, sandboxing, and MCP security scanning. Also use when asked to make an agent "safe", "governed", or "compliant" at action level. Do not use for pre-production evaluation or spec-to-test generation; route those to agenteval or assert-evaluation.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

agentsecuritytesting

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md110.2 kB · preview
--- name: agent-governance-toolkit license: MIT cowork: category: automation icon: ShieldCheckmark metadata: last_verified: "2026-08-26 (full improve-skill audit run 4: feeds re-verified unchanged - NuGet x3/npm 5.0.0, PyPI meta 4.1.0 capping core<5.0 with core at 5.0.0, agt-sandbox 5.0.0, azure-containerapps-sandbox 0.1.0b4, ACS SDK 0.3.1b1 manylinux-only wheels; agt CLI 4.1.0 verb set and Python import/signature probes re-executed live; 17/17 cited URLs resolve; repo now carries a v5.0.0 git tag (2026-08-25 - tag + CHANGELOG entry only, no Release object, PyPI meta still unpublished); BREAKING_CHANGES@main delta absorbed - TrustMiddleware requires signed requests plus a registry-backed trust anchor (#3813) and Rust/Mastra policy surfaces route through ACS manifests; four-reviewer round fixed a stale .NET version pair, distribution-list drift, a row-count error, and punctuation defects.)" ---
19# Agent Governance Toolkit (AGT) Skill
20
21The Agent Governance Toolkit is Microsoft's runtime governance layer for AI agents - it enforces what an agent is allowed to do at the moment it tries to do it. AGT sits between the agent and its tools, evaluates each action against policy, and produces an immutable audit trail you can show an auditor.
22
23AGT is complementary to evaluation (agenteval, Foundry evaluators) and to model-level safety (Azure AI Content Safety). It does not test the agent; it constrains it in production.
24
25## Local toolchain ground truth (verified 2026-08-24)
26
27- Installed locally via pip: **agt CLI 4.1.0** with uniform component versions across agent_governance_toolkit / -cli / -core / -integrations / -protocols (all 4.1.0) - confirms the meta-owned-pins rule below. NOT installed: -runtime, -sre dists, agt-sandbox, agt-policies, and the **ACS SDK (agent-control-specification) is NOT pulled in by [full]** - install it explicitly for §6a patterns. Python 3.13.13 satisfies the prerequisite.
28- Live import probes (2026-08-24): agent_os.policies.PolicyEvaluator/PolicyRule still import cleanly at 4.1.0 (removal is main-only), and **create_governance_middleware IS present at 4.1.0 - an earlier probe reporting it absent was wrong; §8's example executes as written** (the factory returns a three-component middleware list, agent_framework.Agent accepts middleware=, and it also takes denied_tools= / approval_resolver= / policy= kwargs). Probe again on any version bump. LifecycleManager lives at agentmesh.lifecycle. The full verified module inventory and cross-SDK class map: [references/sdk-capability-matrix.md](references/sdk-capability-matrix.md).
29- Upstream repo state same-day: repo VERSION@main = **5.0.0** while the PyPI meta remains 4.1.0; BREAKING_CHANGES.md confirms default-deny shipped across all three SDKs and the pre-ACS rule model removed (see §8 warning).
30- **CLI surface drift correction:** the installed 4.1.0 command set is cred | doctor | integrity | lint-policy | red-team {scan, attack, report} | test | verify. The commands this skill previously cited - agt scan and agt discover - **do not exist on this install**; the CLI auto-discovers plugin commands only from *installed* distributions, so their absence here means those workflows cannot run locally until the owning distribution is added. Always enumerate with agt --help instead of trusting any fixed verb list (including the one in this skill).
31- Second console-script entry point discovered live: agent-governance runs the **agent-compliance** CLI (verify | integrity | lint-policy) - a subset alias of agt.
32- Upstream README (checked 2026-08-24) adds two facts this skill has absorbed: the **agt-policies package carries a one-way v4→v5 policy migration command** (not installed locally), and the pre-ACS agent_os.policies rule-model removal has **landed** on main - treat pre-ACS YAML rule shapes as invalid, not merely deprecated.
33
34## Use When
35
36| Condition | Detail |
37|-----------|--------|
38
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md13,074 words
Files5
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈390
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
42,935
on trigger
The instruction body and 4 supporting files, read only when the skill fires.
21.7%
of a 200k window
Ten skills this size would not fit in the window together.
050k100k150k200k context window

43.3k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

5 files, 173.3 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md110.2 kB
  • CHANGELOG.md44.8 kB
  • references/fabrication-signatures.md4.5 kB
  • references/practitioners.md4.9 kB
  • references/sdk-capability-matrix.md8.9 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 5 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Agent Governance Toolkit (AGT) · 43.3k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/agent-governance-toolkit-agt/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/agent-governance-toolkit-agt" ] && { [ ! -e .claude/skills/agent-governance-toolkit-agt ] || { mv .claude/skills/agent-governance-toolkit-agt "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/agent-governance-toolkit-agt" .claude/skills/ && echo "Installed .claude/skills/agent-governance-toolkit-agt"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add lukemurraynz/agent-governance-toolkit-agt

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/agent-governance-toolkit-agt/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/agent-governance-toolkit-agt/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/agent-governance-toolkit-agt" ] && { [ ! -e ~/.claude/skills/agent-governance-toolkit-agt ] || { mv ~/.claude/skills/agent-governance-toolkit-agt "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/agent-governance-toolkit-agt" ~/.claude/skills/ && echo "Installed ~/.claude/skills/agent-governance-toolkit-agt" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/agent-governance-toolkit-agt/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. It appears as agent-governance-toolkit in Gemini CLI, Codex, Copilot and Grok (its own name); Claude Code lists it by the folder name, agent-governance-toolkit-agt.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencelukemurraynz/agent-governance-toolkit-agt

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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