Agent integration architecture

Agent Integrations

Install prospecting logic where your AI agent already works

The architecture favors explicit tool permissions, inspectable data movement, and human approval boundaries. Compatibility should be verified from the live installer rather than inferred from decorative logo walls.

Runtime dashboard

Five integration surfaces to validate

01

Package execution

Inspect the package name, requested actions, terminal output, exit state, and installed files. Copying the command is never reported as successful installation.

Evidence: local installer output
02

Agent registration

Confirm where the skill is registered, how it is invoked, which context it can read, and how an operator disables or removes it.

Evidence: runtime configuration
03

Secret boundary

Keep provider keys in environment secrets with minimum scope. Validate whether logs, retries, error messages, or generated files can reveal a credential.

Evidence: configuration review
04

Data connectors

Document source terms, API rate limits, field provenance, refresh behavior, and deletion obligations. Mark unsupported or unverified connectors as unknown.

Evidence: provider contract
05

Output controls

Separate research output, CRM updates, drafts, and sending. Require a named human decision before any external communication or irreversible write.

Evidence: workflow policy
CHECK

Compatibility state

This page does not claim a runtime count or official partnership. Run the installer in a non-production environment and record the package version, date, operating system, and agent runtime.

Status: verify locally

Architecture briefs

Least-privilege connector design

Start with read-only company discovery when possible. Add contact lookup, CRM updates, or sequence preparation only after the preceding evidence and review controls pass. Different credentials should reflect different capabilities.

Open workflow specification

Observable failure handling

Rate limits, timeouts, partial responses, provider conflicts, and unavailable fields must remain visible. Retries need bounds; unknown values should not be replaced with convenient guesses.

Read the methodology

Reversible output destinations

Write test results to a sandbox or review queue before a production CRM. Preserve source, date, prior value, proposed value, approver, and rollback state for material changes.

Review operating contexts

Integration sequence

  1. Copy

    Place the exact command on the clipboard; no system state changes yet.

  2. Run

    Execute the npm installer and inspect the package prompt, network behavior, files, and exit status.

  3. Register

    Confirm that the selected agent runtime recognizes the skill and exposes only intended tools.

  4. Connect

    Add minimum-scope credentials, then test provider limits, provenance, retention, and deletion.

  5. Approve

    Validate a known cohort and require human review before CRM writes or outreach.

Verify your runtime with the exact installer

Run in a controlled environment and record the evidence produced at each state.

npx -y @okki-global/okki-go-taroball