coding-agent:
- Export loadSkillsFromDir, formatSkillsForPrompt, and related types
- Refactor skills.ts to expose public API
mom:
- Add skills auto-discovery from workspace/skills and channel/skills
- Fix skill loading to use host paths (not Docker container paths)
- Update README and system prompt with SKILL.md format docs
- Usage summary now shows context tokens vs model context window
- Updated CHANGELOG.md with all recent changes
- Updated README.md with new file structure (log.jsonl/context.jsonl)
- Add message.groups to required bot events in README
- Add groups:history and groups:read to required scopes in README
- app_mention handler now logs messages directly instead of relying on message event
- Add deduplication in ChannelStore.logMessage() to prevent double-logging
- Remove redundant current message append in agent.ts (already in log)
- Fix line numbers showing incorrect values for edits far from file start
(e.g., 1,2,3 instead of 336,337,338). Skip count was added after displaying
lines instead of before.
- Rewrite splitIntoTokensWithAnsi in pi-tui to preserve whitespace as separate
tokens instead of discarding it. Wrapped lines now maintain proper alignment
and code indentation.
- Update mom README: rename title, remove em-dashes for cleaner prose
- Add MEMORY.md files for persistent working memory
- Global memory: workspace/MEMORY.md (shared across channels)
- Channel memory: workspace/<channel>/MEMORY.md (channel-specific)
- Automatically loaded into system prompt on each request
- Enhance JSONL log format with ISO 8601 dates
- Add 'date' field for easy grepping (e.g., grep '"date":"2025-11-26"')
- Migrated existing logs to include date field
- Improve log query efficiency
- Add jq query patterns to prevent context overflow
- Emphasize limiting NUMBER of messages (10-50), not truncating text
- Show full message text and attachments in queries
- Handle null/empty attachments with (.attachments // [])
- Optimize system prompt
- Add current date/time for date-aware operations
- Format recent messages as TSV (43% token savings vs raw JSONL)
- Add efficient query examples with both JSON and TSV output
- Enhanced security documentation
- Add prompt injection risk warnings
- Document credential exfiltration scenarios
- Provide mitigation strategies
