Borrowing it
Nothing to install: this file belongs to nateherkai/token-dashboard. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nateherkai/token-dashboard/main/CLAUDE.mdgit clone --depth 1 https://github.com/nateherkai/token-dashboardWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/nateherkai/token-dashboard/claude-md)<a href="https://agentmods.dev/instructions/nateherkai/token-dashboard/claude-md"><img src="https://agentmods.dev/badge/instructions/nateherkai/token-dashboard/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/nateherkai/token-dashboard/claude-md"><img src="https://agentmods.dev/badge/instructions/nateherkai/token-dashboard/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00787 | $0.00787 |
| Opus 5.5 | $0.00315 | $0.00315 |
| Sonnet 5.5 | $0.00157 | $0.00157 |
| Haiku 4.5 | $0.00079 | $0.00079 |
Grade A, and why
token-dashboard CLAUDE.md scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://127.0.0.1:8080/api/overview # sanity-check an endpoint How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Guidance for Claude Code when working in this repository.
Project overview
Token Dashboard — a local dashboard for tracking Claude Code token usage, costs, and session history. Reads the JSONL transcripts Claude Code writes to ~/.claude/projects/ and turns them into per-prompt cost analytics, tool/file heatmaps, subagent attribution, cache analytics, project comparisons, and a rule-based tips engine.
Inspired by phuryn/claude-usage but diverges in UI (vanilla JS + ECharts, dark theme, hash router, SSE refresh) and scope (expensive-prompt drill-down, skills view, tips engine, streaming-snapshot dedup). See docs/inspiration.md for the original's feature set and known limitations.
Status
Working codebase. 68 Python unit tests (python3 -m unittest discover tests). Seven UI tabs wired up (Overview, Prompts, Sessions, Projects, Skills, Tips, Settings). Runs on macOS, Windows, and Linux.
Architecture
cli.py→token_dashboard/scanner.py→~/.claude/token-dashboard.db(SQLite)token_dashboard/server.pyexposes JSON APIs (/api/*) + SSE stream (/api/stream) + static frontend (web/)web/is vanilla JS, no build step — hash router + ECharts
Data source
Claude Code writes one JSONL file per session to ~/.claude/projects/<project-slug>/<session-id>.jsonl. Each line is a message record; usage fields live at message.usage and model identifier at message.model. The scanner is incremental — it tracks each file's mtime and byte offset in the files table and only reads new bytes on subsequent scans.
Conventions
- Fully local. No telemetry, no remote calls for user data. Tests run offline.
- Stdlib only. No
pip install. If a new feature needs a third-party library, argue for it first — we're willing to pay ergonomics cost to keep install friction at zero. - SQLite parameter binding always. Any f-string in a SQL statement must interpolate only internal, caller-controlled values (column names, placeholder lists). User-reachable values go through
?. - Small files with clear responsibilities. If a file grows past ~400 lines or accretes three distinct concerns, split it.
- Streaming-snapshot dedup. When adding scanner logic that joins the
messagestable, remember(session_id, message_id)is the dedup key, notuuid. Seescanner._evict_prior_snapshotsand the migration note indb._migrate_add_message_id.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 48 lines · 787 tokens per session scan A b01faad9b455
token-dashboard CLAUDE.md is an instructions file published in the GitHub repository nateherkai/token-dashboard (764 stars, last pushed 6mo ago), licensed MIT. It adds 787 tokens to every session, about $0.0031 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
token-dashboard CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| token-dashboard CLAUDE.mdnateherkai/token-dashboard | Instructions file | 764 | 6mo ago | MIT | A | 787 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |