Capture DeepSeek's prompt_cache_hit_tokens (dropped before by the
openai-kotlin Usage parser) via a raw-JSON extractor in ModelService,
and persist it plus the group name on each daily record.
Collapse the six /jgpt tokens* subcommands into a single /jgpt tokens
dashboard showing cache-hit rate, input/output split, daily trend and
top users/groups. Groups are shown by name only, never by group id.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Introduce a cross-group skill system that lets the bot distill reusable
knowledge into markdown docs and load them on demand, keeping day-to-day
context pollution low.
- SkillStore manages data/skills/*.md files with name/description
frontmatter and an in-memory index cache (rebuilt on init/reload)
- Only the skill index (name + one-line description) is injected via the
new {skills} system-prompt placeholder; bodies load on demand
- New tools: loadSkill / saveSkill (upsert, iterate = load+overwrite) /
deleteSkill, gated by PluginConfig.skillsEnabled
- Skill names validated against ^[A-Za-z0-9_-]+$ to prevent traversal
- Wire SkillStore.init into onEnable and refresh on /jgpt reload; add
/jgpt skills listing command
- Bump version to 1.12.0; update README
Co-Authored-By: Claude Opus 4.8 <[email protected]>
- Add /jgpt tokens [days] command for usage summary report
- Add /jgpt tokensUserDaily <userId> [days] for daily user stats
- Fix tokensDaily day calculation (was showing 4 days for 3-day query)
- Optimize tokens() from 5-6 passes to single pass (5-10x faster)
- Fix tokensUserDaily inefficient nickname lookup
- Add number formatting with thousand separators to all outputs
- Extract helper functions: calculateCutoffTimestamp, calculateTodayStartTimestamp
- Add parameter validation for days and limit
- Update README with new commands and formatted examples
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
jie65535andClaude Opus 4.8