"can I", "is this allowed", "policy check"?
evaluate_policy
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Agent infrastructurePublic skills
Governance Policy Enforcement
Policy evaluation engine — check actions against rules, manage approvals, simulate policy changes, request exceptions, and export audit evidence for compliance.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Evaluate governance policies, manage approvals, simulate policy changes, and export audit evidence. Use when checking if an action is allowed, requesting approvals, simulating policy impact, requesting exceptions, or generating compliance reports.
Architecture
How Governance Policy Enforcement guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Governance Policy Enforcement skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-governance-policy
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"approve", "pending", "approval"?
list_approvals / resolve_approval
"simulate", "what if", "impact"?
simulate_policy
"exception", "override"?
request_exception
"audit", "evidence", "compliance"?
audit_log / export_evidence
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
011 calls
Evaluate
Check if action is allowed
022 calls
Approve
List pending → resolve
031 calls
Simulate
Test policy change impact
041 calls
Export
Compliance evidence
Tool boundary
The skill may use 8 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-governance-policy retains responsibility for authentication, validation, and the connected system.
evaluate_policy
open_approval
list_approvals
resolve_approval
simulate_policy
audit_log
request_exception
export_evidence
Working rules
What the agent should do.
- Evaluate policy BEFORE executing any governed action
- Simulate policy changes before applying to production
- Export evidence for all compliance audits
- Log all policy decisions (allow AND deny)
Operating boundaries
What the agent should avoid.
- Never bypass policy evaluation
- Don't apply policy changes without simulation
- Don't suppress denial reasons from audit log
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-governance-policy, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-governance-policy-enforcement.git \
~/.skills/skills/governance-policy-enforcementADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("governance-policy-enforcement").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-governance-policy server connected.
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 8
- References
- 3
- Revision
- 993d9bdc8fac
- Updated
- May 31, 2026