Query local SQLite databases to diagnose Hope Agent failures.
npx skills add https://github.com/shiwenwen/hope-agent --skill ha-logs
Please help me install this Agent Skill. Skill: ha-logs Source: https://github.com/shiwenwen/hope-agent/tree/main/skills/ha-logs Command: npx skills add https://github.com/shiwenwen/hope-agent --skill ha-logs
When Hope Agent is failing, slowing down, stuck, or behaving unexpectedly, this Skill lets you investigate the real cause using the agent’s persisted local SQLite logs instead of guessing or asking the user to paste snippets.
Ask the agent: Looking at the last 30 minutes, what errors or warnings caused the issue and which tool calls or async jobs failed for the affected session?
High-intent search queries and answers about installing and using this skill.
You can diagnose Hope Agent failures by querying local SQLite databases containing logs, sessions, messages, and async jobs directly for evidence. This approach pulls exact error messages and tool failures for the relevant time window.
The best way to analyze tool error rates and stuck behavior is a fast drill-down method: start broad with recent ERROR and WARN entries, then narrow results by category, session_id, tool_name, or message content to link failures to specific tool payloads.
Yes, you can perform post-fix verification by re-running the same targeted SQLite log queries after applying a configuration or code change to confirm that the error trend stops within the affected time window.
No, diagnosing Hope Agent async jobs requires a read-only SELECT-only workflow using the exec tool with sqlite3 or a python3 read-only SQLite connection. This ensures safe session forensics and error investigation without modifying the underlying data.
A limitation is that session forensics and error investigation depend entirely on the availability of local on-disk SQLite databases. You must apply time-bounded filters and SELECT-only queries, as direct database modifications are not supported.
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