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Check and process messages from autonomous AILANG agents.
Passed 17 of 19 test cases with the skill, and 5 of 19 without it.
and 18 more in the full report
14 fixed6 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
An agent received an imported GitHub issue with ID msg_20251210_001122_ghi345 and needs to post a reply directly back to that GitHub issue thread from the terminal. What command sub-category or command action handles sending a reply?
| Checked | Without skill | With skill |
|---|---|---|
| ailang messages reply msg_20251210_001122_ghi345 command structure is provided to reply to the issue thread. | Missed | Passed |
The instructions your model reads when the skill loads.
Check for messages from autonomous agents at session start and process completion notifications.
Most common usage:
# List all messages
ailang messages list
# Show only unread messages
ailang messages list --unread
# Read full message content
ailang messages read MSG_ID
# Acknowledge (mark as read)
ailang messages ack MSG_ID
ailang messages ack --all
# Send a message
ailang messages send user "Your message" --title "Title" --from "agent-name"
# Send bug/feature to GitHub (for cross-instance visibility)
ailang messages send user "Bug report" --type bug --github
Expected output (at session start):
📬 AGENT INBOX: 2 unread message(s) from autonomous agents
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ID: msg_20251210_143021_abc123
From: sprint-executor
Title: Sprint M-S1 complete
Time: 2025-12-10T14:30:21Z
ID: msg_20251210_143055_def456
From: stapledon
test cases passed, vs 5 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.