Skip to content
Back to skills

Analytics

ASecurity

Queries local analytics across OrchestKit projects for agent usage, skill frequency, hook timing, team activity, session replay, cost estimation, and model delegation trends. Privacy-safe with hashed project IDs. Supports time-range filtering and comparative analysis. Use when reviewing performance, estimating costs, or understanding usage patterns.

  • 4 stars
  • 0 votes
  • 0 copies
  • 3 views
  • Added September 12, 2026
datagobashperformancedocumentation

Works with

  • claude code

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 12, 2026

npx -y skills add aibot88/sec_skill_store --skill analytics --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Analytics?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Analytics
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/aibot88-analytics/badge)](https://www.skillsdirectory.com/skills/aibot88-analytics)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: analytics
license: MIT
compatibility: "Claude Code 2.1.76+."
author: OrchestKit
description: "Queries local analytics across OrchestKit projects for agent usage, skill frequency, hook timing, team activity, session replay, cost estimation, and model delegation trends. Privacy-safe with hashed project IDs. Supports time-range filtering and comparative analysis. Use when reviewing performance, estimating costs, or understanding usage patterns."
argument-hint: "[agents|models|skills|hooks|teams|session|cost|trends|summary]"
context: inherit
version: 2.1.0
tags: [analytics, metrics, usage, teams, agents, skills, hooks, data-visualization, dashboard, recharts, charts, widgets, session, cost, tokens, model-delegation]
user-invocable: false
allowed-tools: [Bash, Read, Grep, Glob, AskUserQuestion]
complexity: low
persuasion-type: collaborative
effort: low
model: haiku
metadata:
  category: document-asset-creation
---

# 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 | `${CLAUDE_SKILL_DIR}/references/jq-queries.md` |
| `otel` | CC 2.1.117 OTEL enrichments: top slash commands (user vs model), per-effort cost, effort-vs-success correlation | `~/.claude/otel/*.jsonl` | `${CLAUDE_SKILL_DIR}/references/otel-fields.md` |

### Quick Start Example

```bash
# 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.

**`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 three CC 2.1.117 OTEL panels (top slash commands user-vs-model, per-effort cost breakdown, effort-vs-success correlation). See `Read("${CLAUDE_SKILL_DIR}/references/otel-fields.md")` for queries, graceful-fallback rules, and panel semantics. Falls back cleanly to "no OTEL data available (upgrade to CC ≥ 2.1.117)" when the files are absent or empty.

## 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 (command_name, command_source, effort), queries, and dashboard panels |

## Important Notes

- All files are JSONL (newline-delimited JSON) format
- For large files (>50MB), use streaming `jq` without `-s` — load `Read("${CLAUDE_SKILL_DIR}/rules/large-file-streaming.md")`
- Rotated files: `<name>.<YYYY-MM>.jsonl` — include for historical queries
- `team` field only present during team/swarm sessions
- `pid` is 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 analysis
- `ork:feedback` - Capture user feedback
- `ork:remember` - Store project knowledge
- `ork:doctor` - Health check diagnostics

Files in this skill

  • SKILL.md7.2 KB
  • source.json843 B

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…