AI Agent Instruction Review: What Needs Approval Before Agents Use It

AI agent instruction review is the check a team makes before a shared instruction or Skill changes what future agents receive. A short edit can matter: changing “ask for approval before sending” to “send when ready” alters the workflow even if the diff is one line.

The review should establish who owns the rule, where it applies, what behavior it changes, and how the team will know the approved version reached the right agents. It is separate from approving a particular email, deploy, refund, or other agent action.

TL;DR

• Review and publish maintained Knowledge and Skills before a proposed version guides the fleet.
• Let permitted agents update short-term working Memory live, with version history and audit. Promote durable lessons through a separate governed change.
• Check authority, scope, source, secrets, affected routes, and a few real workflow cases before publishing.
• After publication, inspect a fresh agent bundle and its exact versions. Verify actions at the tool or target system; delivery alone does not prove obedience.

Which changes need AI agent instruction review?

The answer depends on what the change will become, not who wrote the first draft.

Change	Appropriate path	Why
Company policy or maintained operating guidance	Propose a Knowledge version, review, publish	It may affect many future runs and has an owner and authority
Reusable task procedure or supporting script	Propose a Skill package version, review, publish	It can change how agents perform work or use tools
Unfinished task state or a recent correction	Permitted agent updates Memory live	It is working recall, not a company-wide rule
One-time user request or attachment	Keep it with the task	It does not become shared authority by appearing in context
Tool result	Verify it through the authorized source	It is runtime data, not a policy publication

Knowledge can be informational or must-follow within an approved scope. A proposed change to that authority needs governed approval and versioning. A Skill is binding only when an authorized route requires it or an authorized user invokes it, and only where it agrees with higher-authority instructions. A sentence inside an attachment or Memory file cannot grant itself either status.

The context types guide covers these lifecycles in more detail. The key review decision is whether an observation should remain temporary working state or become a maintained input for other agents.

Review the change that agents will actually use

A useful review starts with the exact before-and-after versions, not a summary of the author’s intent. For a Skill, include the full package diff: instructions, scripts, references, and supporting files. For Knowledge, include the content, authority, scope, owner, and current publication state.

Then ask these questions in order:

1. Which agents, users, teams, repositories, and workflows need this rule? Which must not receive it?
2. Who owns the underlying decision? Does the text accurately express an approved policy or procedure without claiming a new level of authority?
3. Does it contain a secret, credential, private model reasoning, or sensitive material that should stay in a source system? Has untrusted text from a document or tool result been mistaken for an instruction?
4. Does another current rule disagree? Is a copied prompt or local Skill likely to keep the old version in circulation?
5. What should an agent do differently? Test at least one case that should follow the rule and one nearby case that should not.
6. Which direct or Group routes will distribute the approved version, and can the receiving agents use the Skill package if one is involved?

These checks apply even when an agent drafted the proposal. An authorized Publisher, human or agent, can publish content within its granted role; a change to Knowledge authority requires human review. If the change affects a tool’s authority, update the tool or target system control as well. A sentence in Knowledge cannot authorize an action by itself.

Publish, then verify the new version

Publication and delivery are different events. In Alignbase’s current model, Always routes include published Knowledge content and current Memory in a fresh context bundle. Routed Skills appear by published metadata in that bundle, and the agent can read the published package separately. Draft Knowledge and Skill changes are not substituted into routed bundles.

After publishing, load current context for one affected agent and one unaffected agent. Confirm the exact version for the first and that the item is absent from the second. Inspect the configured direct and Group routes separately to explain why it was delivered. If the agent needs a Skill, check that its published package can be read. Save the result with the review record so a later incident can reconstruct what was issued.

An agent already running may still have the earlier version in its conversation. Decide whether that workflow needs a fresh context load, a pause, or a new session before it acts. The action system must still enforce permissions and approvals at execution time.

When a lesson starts in Memory

An agent may notice that a customer handoff failed because the procedure omitted one field. That observation can go into its working Memory if it helps the next session and the agent has Editor access. It should not silently become the new company process.

The owner can turn the observation into a Skill proposal: describe the failure, change the procedure, test the revised handoff, and submit it for review. Once approved and published, the team can verify the routed version. The old Memory note can be shortened or removed when it no longer helps. This keeps working recall useful without making it a second policy store.

Where Alignbase fits

Alignbase provides versioned Knowledge and Skills with review and publication, working Memory with live authorized updates, independent Always routes, and delivery audit for supported agents. It helps teams inspect which approved versions were compiled and issued. Context Evaluation and automatic Context Improvement remain planned; teams should run their own scenario checks and make their own publication decisions today.

The Alignbase blog has related guides on context governance, version control, and Skill governance.