Install
$ agentstack add skill-yonatangross-orchestkit-analytics ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
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 | ${CLAUDE_SKILL_DIR}/references/jq-queries.md | | models | Model delegation breakdown (opus/sonnet/haiku) | agent-usage.jsonl | ${CLAUDE_SKILL_DIR}/references/jq-queries.md | | skills | Top skills by invocation count | skill-usage.jsonl | ${CLAUDE_SKILL_DIR}/references/jq-queries.md | | hooks | Slowest hooks and failure rates | hook-timing.jsonl | ${CLAUDE_SKILL_DIR}/references/jq-queries.md | | teams | Team spawn counts, idle time, task completions | team-activity.jsonl | ${CLAUDE_SKILL_DIR}/references/jq-queries.md | | session | Replay a session timeline with tools, tokens, timing | CC session JSONL | ${CLAUDE_SKILL_DIR}/references/session-replay.md | | cost | Token cost estimation with cache savings | stats-cache.json | ${CLAUDE_SKILL_DIR}/references/cost-estimation.md | | trends | Daily activity, model delegation, peak hours | stats-cache.json | ${CLAUDE_SKILL_DIR}/references/trends-analysis.md | | summary | Unified view of all categories | All files | ${CLAUDE_SKILL_DIR}/references/jq-queries.md | | otel | CC 2.1.117 + 2.1.122 + 2.1.126 OTEL enrichments: top slash commands (user vs model), per-effort cost, effort-vs-success correlation, skill activation by trigger type, most-mentioned @ targets | ~/.claude/otel/*.jsonl | ${CLAUDE_SKILL_DIR}/references/otel-fields.md |
Quick Start Example
# Top agents with model breakdown
jq -s 'group_by(.agent) | map({agent: .[0].agent, count: length}) | sort_by(-.count)' ~/.claude/analytics/agent-usage.jsonl
# All-time token costs
jq '.modelUsage | to_entries | map({model: .key, input: .value.inputTokens, output: .value.outputTokens})' ~/.claude/stats-cache.json
Quick Subcommand Guide
agents, models, skills, hooks, teams, summary — Run the jq query from Read("${CLAUDE_SKILL_DIR}/references/jq-queries.md") for the matching subcommand. Present results as a markdown table.
session — Follow the 4-step process in Read("${CLAUDE_SKILL_DIR}/references/session-replay.md"): locate session file, resolve reference (latest/partial/full ID), parse JSONL, present timeline.
cost — Apply model-specific pricing from Read("${CLAUDE_SKILL_DIR}/references/cost-estimation.md") to CC's stats-cache.json. Show per-model breakdown, totals, and cache savings. On CC >= 2.1.174, cross-check against CC-native /usage per-component attribution (see 'CC-Native /usage Attribution' below).
trends — Follow the 4-step process in Read("${CLAUDE_SKILL_DIR}/references/trends-analysis.md"): daily activity, model delegation, peak hours, all-time stats.
summary — Run all subcommands and present a unified view: total sessions, top 5 agents, top 5 skills, team activity, unique projects. If ~/.claude/otel/*.jsonl exists with non-empty content, append the three OTEL panels from otel-fields.md; otherwise omit them (do not render empty panels).
otel — Render the OTEL panels: 3 from CC 2.1.117 (top slash commands user-vs-model, per-effort cost, effort-vs-success correlation), 3 from CC 2.1.119 (oversized inputs, pre/post latency, see otel-fields.md), 1 from CC 2.1.122 (most-mentioned @ targets), and 1 from CC 2.1.126 (skill activation by trigger type). See Read("${CLAUDE_SKILL_DIR}/references/otel-fields.md") for queries, graceful-fallback rules, and panel semantics. Each panel falls back cleanly to "no OTEL data available (upgrade to CC ≥ X)" when its specific file is absent or empty — render only the panels with data.
Data Files
Load Read("${CLAUDE_SKILL_DIR}/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 | ${CLAUDE_SKILL_DIR}/rules/data-privacy.md | CRITICAL | Hash project IDs, never log PII, local-only | | Cost & Tokens | ${CLAUDE_SKILL_DIR}/rules/cost-calculation.md | HIGH | Separate pricing per token type, cache savings | | Performance | ${CLAUDE_SKILL_DIR}/rules/large-file-streaming.md | HIGH | Streaming jq for >50MB, rotation-aware queries | | Visualization | ${CLAUDE_SKILL_DIR}/rules/visualization-recharts.md | HIGH | Recharts charts, ResponsiveContainer, tooltips | | Visualization | ${CLAUDE_SKILL_DIR}/rules/visualization-dashboards.md | HIGH | Dashboard grids, stat cards, widget registry |
Total: 5 rules across 4 categories
References
| Reference | Contents | |-----------|----------| | ${CLAUDE_SKILL_DIR}/references/jq-queries.md | Ready-to-run jq queries for all JSONL subcommands | | ${CLAUDE_SKILL_DIR}/references/session-replay.md | Session JSONL parsing, timeline extraction, presentation | | ${CLAUDE_SKILL_DIR}/references/cost-estimation.md | Pricing table, cost formula, daily cost queries | | ${CLAUDE_SKILL_DIR}/references/trends-analysis.md | Daily activity, model delegation, peak hours queries | | ${CLAUDE_SKILL_DIR}/references/data-locations.md | All data sources, file formats, CC session structure | | ${CLAUDE_SKILL_DIR}/references/otel-fields.md | CC 2.1.117 OTEL fields (commandname, commandsource, effort), queries, and dashboard panels |
Important Notes
- All files are JSONL (newline-delimited JSON) format
- For large files (>50MB), use streaming
jqwithout-s— loadRead("${CLAUDE_SKILL_DIR}/rules/large-file-streaming.md") - Rotated files:
..jsonl— include for historical queries teamfield only present during team/swarm sessionspidis a 12-char SHA256 hash — irreversible, for grouping only
CC-Native /usage Attribution (2.1.174+)
CC 2.1.174 added per-component attribution to /usage: cache misses, long-context usage, subagent costs, and per-skill / per-agent / per-plugin / per-MCP cost breakdowns over the last 24h / 7d. It currently surfaces in the VSCode "Account & usage" dialog; in the terminal, run /usage.
When the user asks "which skill/agent actually costs the most" or questions ork's local estimates, direct them to /usage as the authoritative source — CC's own attribution supersedes ork's heuristic cost estimates for the windows it covers. Use ork's cost/otel views for history beyond CC's 7-day window and for cross-project slicing; use /usage for ground truth on the last 24h/7d.
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
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: yonatangross
- Source: yonatangross/orchestkit
- License: MIT
- Homepage: https://orchestkit.yonyon.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.