Skill packs

Teach the watch
what to watch.

Monitoring packs are MCP-native capability bundles. Install one and the command center gains a new sense — drift detection, tone scoring, policy enforcement — with no core changes.

pack · monitoring

drift-watch

Tracks model accuracy over time and flags drift before slow degradation becomes an incident.

aoc pack install drift-watch
pack · quality

tone-guard

Scores every agent reply for tone and accuracy — anything off-brand routes to human review, not to the customer.

aoc pack install tone-guard
pack · escalation

exception-router

Catches failures and edge cases, then hands them to a human with the full conversation and state attached.

aoc pack install exception-router
pack · governance

policy-enforcer

Verifies every agent action against permissions and compliance policy. Violations never execute — they're logged and flagged.

aoc pack install policy-enforcer
pack · audit

incident-scribe

Writes a complete record for every intervention: what happened, what was decided, and why — audit-ready.

aoc pack install incident-scribe
pack · monitoring

latency-sleuth

Watches response times across the fleet and correlates slowdowns with model, load, or upstream changes.

aoc pack install latency-sleuth
pack · governance

pii-sentinel

Scans agent outputs for PII and secrets before they leave the building. Redacts, blocks, or escalates by policy.

aoc pack install pii-sentinel
pack · governance

cost-governor

Tracks token spend per agent and enforces budgets. Runaway loops get throttled, then quarantined.

aoc pack install cost-governor
pack · audit

replay-lab

Replays any incident from the event log against a new pack version — verify the fix before it matters.

aoc pack install replay-lab
build your own

Packs are just code with a manifest.

Encode your own oversight rules — your compliance regime, your tone standards, your escalation paths — and the fleet adopts them like natives. Packs speak MCP, so anything you build plugs into the servers on the MCP page.

How to write a pack →

Put your AI workforce
under command.

See the command center running a live simulated fleet — or join the waitlist for early access.

See the live demo → Join the waitlist