agent-readinesslisted
Install: claude install-skill JKHeadley/instar
# /agent-readiness
Salim Ismail's EXO 3.0 diagnostic, made runnable: score a piece of work on its
**coordination-vs-judgment ratio**. Coordination work — routing information,
approvals, scheduling, status tracking, prescriptive/standardized steps — is what
AI agents do best, so it's *agent-ready*. Judgment work — resolving ambiguity,
handling exceptions, navigating relationships, making a call with no playbook —
should stay with (or escalate to) humans.
## When to use
- Before delegating a task/workflow to an agent — is it actually a good candidate?
- When deciding whether a process should be fully automated, agent-with-oversight,
hybrid, or kept human-led.
- When mapping which of your workflows a small team + agents could rebuild first
(Salim: "every task that scores high on coordination has agent readiness").
## How
Score a task:
```bash
curl -X POST -H "Authorization: Bearer $AUTH" -H 'Content-Type: application/json' \
-d '{"task":{"name":"Invoice intake","description":"Route invoices, schedule approvals, track status, compile a weekly report, notify owners."}}' \
http://localhost:${INSTAR_PORT:-4042}/agent-readiness/score
```
Score a workflow (by its steps):
```bash
curl -X POST -H "Authorization: Bearer $AUTH" -H 'Content-Type: application/json' \
-d '{"workflow":{"steps":["Fetch the record","Assign accounts","Schedule orientation","Update the tracker"]}}' \
http://localhost:${INSTAR_PORT:-4042}/agent-readiness/score
```
Returns:
```json
{
"coordinat