Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →majiayu000/hive-debugger
Interactive debugging companion for Hive agents - identifies runtime issues and proposes solutions
Passed 18 of 22 test cases with the skill, and 5 of 22 without it.
and 19 more in the full report
15 fixed6 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
To inspect the value of a single key named `scraped_urls` stored in session `session_333` without returning the full session state object, which tool should be called?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends calling get_agent_session_memory. | Missed | Passed |
| Passes key='scraped_urls' to inspect the single memory key. | Passed | Passed |
The instructions your model reads when the skill loads.
An interactive debugging companion that helps developers identify and fix runtime issues in Hive agents. The debugger analyzes runtime logs at three levels (L1/L2/L3), categorizes issues, and provides actionable fix recommendations.
Use /hive-debugger when:
This skill works alongside agents running in TUI mode and provides supervisor-level insights into execution behavior.
Some agents use terminal_nodes=[] (the "forever-alive" pattern), meaning they loop indefinitely and never enter a "completed" execution state. For these agents:
How to identify forever-alive agents: Check agent.py or agent.json for terminal_nodes=[] (empty list). If empty, the agent is forever-alive.
Before using this skill, ensure:
exports/{agent_name}/~/.hive/agents/{agent_name}/test cases passed, vs 5 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.