Insights

A native opencode plugin that generates usage insights reports from your session history.

Registers a /insights slash command that:

• Reads sessions from opencode's SQLite database
• Extracts per-session facets via LLM (with caching)
• Runs 7 aggregate analysis prompts + an at-a-glance synthesis
• Generates a self-contained HTML report + diffable insights.json

The report

/insights produces a single self-contained HTML file — no server, no build step, just open it in a browser. It loads light by default with an opt-in dark mode, every section is collapsible for quick skimming, and Export insights.json downloads the underlying data so you can diff reports over time.

The image above is a static preview. For the interactive version — collapsible sections, dark-mode toggle, and JSON export — open docs/sample-report.html in a browser, or preview it online. The data shown is an illustrative example.

Installation

Runtime: Requires Bun. The engines.node field in package.json is npm registry metadata only — the plugin uses bun:sqlite and cannot run under plain Node.js.

Add to ~/.config/opencode/opencode.json:

{
  "plugin": ["@tim_hilde/opencode-insights@1.0.0"]
}

Usage

In the opencode TUI:

/insights                                       # current project only (default)
/insights --all                                 # analyze every project
/insights --days 7
/insights --force
/insights --model anthropic/claude-haiku-4-5
/insights --output ~/Desktop/my-insights.html

By default /insights analyzes only the current project's sessions. Pass --all to include every project in your opencode history. Scoping to the current project also limits how much unrelated session content is fed to the analysis model.

Configuration

On the first run, the plugin creates ~/.config/opencode/insights.json with defaults:

{
  "model": "anthropic/claude-haiku-4-5",
  "days": 30,
  "concurrency": 4
}

Edit this file to change the defaults for every /insights run.

Field	Default	What it does
model	anthropic/claude-haiku-4-5	LLM used for all analysis calls. Format: providerID/modelID. Haiku-class models are recommended — they're fast, cheap, and sufficient for JSON extraction. Use a smarter model if you want richer analysis at higher cost.
days	30	How many days of session history to include.
concurrency	4	Max parallel LLM calls during per-session facet extraction. Increase to speed up the first run, decrease if you're hitting rate limits.

Argument flags override config file values for a single run:

/insights --days 7              # override days
/insights --model anthropic/claude-sonnet-4-5  # use a smarter model this run
/insights --force               # re-analyze all sessions, ignoring cache

How it works

1. Extract — reads sessions from opencode.db (current project + last 30 days by default; use --all for every project), filters out sub-agent sessions and [insights] sessions
2. Facet extraction — per-session LLM call extracting: goal, outcome, satisfaction, friction (cached to ~/.local/share/opencode/insights/facets/)
3. Aggregate analysis — 8 prompts: project areas, interaction style, agent performance, friction, suggestions, tool health, horizon
4. At-a-Glance synthesis — final summary with split fault attribution (agent vs user-side)
5. Report generation — self-contained HTML + machine-readable insights.json for tracking over time

Development

bun install
bun test
bun run scripts/smoke-db.ts  # LLM-free validation against real DB

Attribution

This plugin ports and extends opencode-usage by rchardx (MIT License).

Prompt improvements are based on Claude Code's /insights system prompts as documented by Piebald-AI/claude-code-system-prompts.