analytics
"Query cross-project usage analytics. Use when reviewing agent, skill, hook, or team performance across OrchestKit projects. Also replay sessions, estimate costs, and view model delegation trends."
Resources
3Install
npx skillscat add yonatangross/orchestkit/analytics Install via the SkillsCat registry.
Cross-Project Analytics
Query local analytics data from ~/.claude/analytics/. All data is local-only, privacy-safe (hashed project IDs, no PII).
Subcommands
Parse the user's argument to determine which report to show. If no argument provided, use AskUserQuestion to let them pick.
| Subcommand | Description | Data Source | Reference |
|---|---|---|---|
agents |
Top agents by frequency, duration, model breakdown | agent-usage.jsonl |
references/jq-queries.md |
models |
Model delegation breakdown (opus/sonnet/haiku) | agent-usage.jsonl |
references/jq-queries.md |
skills |
Top skills by invocation count | skill-usage.jsonl |
references/jq-queries.md |
hooks |
Slowest hooks and failure rates | hook-timing.jsonl |
references/jq-queries.md |
teams |
Team spawn counts, idle time, task completions | team-activity.jsonl |
references/jq-queries.md |
session |
Replay a session timeline with tools, tokens, timing | CC session JSONL | references/session-replay.md |
cost |
Token cost estimation with cache savings | stats-cache.json |
references/cost-estimation.md |
trends |
Daily activity, model delegation, peak hours | stats-cache.json |
references/trends-analysis.md |
summary |
Unified view of all categories | All files | references/jq-queries.md |
Quick Start Example
# Top agents with model breakdown
jq -s 'group_by(.agent) | map({agent: .[0].agent, count: length}) | sort_by(-.count)' ~/.claude/analytics/agent-usage.jsonl
# All-time token costs
jq '.modelUsage | to_entries | map({model: .key, input: .value.inputTokens, output: .value.outputTokens})' ~/.claude/stats-cache.jsonQuick Subcommand Guide
agents, models, skills, hooks, teams, summary — Run the jq query from references/jq-queries.md for the matching subcommand. Present results as a markdown table.
session — Follow the 4-step process in references/session-replay.md: locate session file, resolve reference (latest/partial/full ID), parse JSONL, present timeline.
cost — Apply model-specific pricing from references/cost-estimation.md to CC's stats-cache.json. Show per-model breakdown, totals, and cache savings.
trends — Follow the 4-step process in references/trends-analysis.md: daily activity, model delegation, peak hours, all-time stats.
summary — Run all subcommands and present a unified view: total sessions, top 5 agents, top 5 skills, team activity, unique projects.
Data Files
See references/data-locations.md for complete data source documentation.
| File | Contents |
|---|---|
agent-usage.jsonl |
Agent spawn events with model, duration, success |
skill-usage.jsonl |
Skill invocations |
hook-timing.jsonl |
Hook execution timing and failure rates |
session-summary.jsonl |
Session end summaries |
task-usage.jsonl |
Task completions |
team-activity.jsonl |
Team spawns and idle events |
Rules
Each category has individual rule files in rules/ loaded on-demand:
| Category | Rule | Impact | Key Pattern |
|---|---|---|---|
| Data Integrity | rules/data-privacy.md |
CRITICAL | Hash project IDs, never log PII, local-only |
| Cost & Tokens | rules/cost-calculation.md |
HIGH | Separate pricing per token type, cache savings |
| Performance | rules/large-file-streaming.md |
HIGH | Streaming jq for >50MB, rotation-aware queries |
| Visualization | rules/visualization-recharts.md |
HIGH | Recharts charts, ResponsiveContainer, tooltips |
| Visualization | rules/visualization-dashboards.md |
HIGH | Dashboard grids, stat cards, widget registry |
Total: 5 rules across 4 categories
References
| Reference | Contents |
|---|---|
references/jq-queries.md |
Ready-to-run jq queries for all JSONL subcommands |
references/session-replay.md |
Session JSONL parsing, timeline extraction, presentation |
references/cost-estimation.md |
Pricing table, cost formula, daily cost queries |
references/trends-analysis.md |
Daily activity, model delegation, peak hours queries |
references/data-locations.md |
All data sources, file formats, CC session structure |
Important Notes
- All files are JSONL (newline-delimited JSON) format
- For large files (>50MB), use streaming
jqwithout-s— seerules/large-file-streaming.md - Rotated files:
<name>.<YYYY-MM>.jsonl— include for historical queries teamfield only present during team/swarm sessionspidis a 12-char SHA256 hash — irreversible, for grouping only
Output Format
Present results as clean markdown tables. Include counts, percentages, and averages. If a file doesn't exist, note that no data has been collected yet for that category.
Related Skills
ork:explore- Codebase exploration and analysisork:feedback- Capture user feedbackork:remember- Store project knowledgeork:doctor- Health check diagnostics
Categories
Install
npx skillscat add yonatangross/orchestkit/analytics Install via the SkillsCat registry.