token-dashboard

token-dashboard is a skill for Claude Code, Codex from flurdy/agent-skills. It costs 29 tokens per session (1,578 once invoked), scanned A, original, MIT.

A read-only dashboard for token usage in the current session and UTC calendar week. Tokens are the text units used by AI systems to process requests, and the dashboard covers Pi, Claude Code, Codex, and optional OpenRouter data.

In plain words
What is it for?
Use it to view a terminal dashboard or retrieve normalized JSON, optionally for a specific known local session or with OpenRouter analytics when configured.
Why use it?
It shows usage without changing transcripts or settings. An offline mode lets you inspect local telemetry without network access.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also reads ~/.codex or $CODEX_HOME. Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/flurdy/agent-skills/token-dashboard
Any agent
npx skills add flurdy/agent-skills --skill token-dashboard
Clone the repo
git clone --depth 1 https://github.com/flurdy/agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for token-dashboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/flurdy/agent-skills/token-dashboard.svg)](https://agentmods.dev/skills/flurdy/agent-skills/token-dashboard)
Your own site
<a href="https://agentmods.dev/skills/flurdy/agent-skills/token-dashboard"><img src="https://agentmods.dev/badge/skills/flurdy/agent-skills/token-dashboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,578 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.01578
Opus 5 $0.00015 $0.00789
Sonnet 5 $0.00006 $0.00316
Haiku 4.5 $0.00003 $0.00158

Measured 5d ago against content hash 4b846b2dddf5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

token-dashboard scanned grade A with 0 findings 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 5d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/token_dashboard.py, tests/test_token_dashboard.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/token-dashboard/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Token Dashboard

Show read-only token telemetry for the current session and current UTC calendar week. The week starts Monday at 00:00 UTC. This skill has no /usage alias and does not modify transcripts or settings.

Usage

/token-dashboard                    # terminal dashboard; optional OpenRouter analytics when configured
/token-dashboard --offline          # local telemetry only; guarantees no network
/token-dashboard --json             # normalized schema v1 JSON
/token-dashboard --json --offline   # machine-readable local-only report
/token-dashboard --session-id ID    # explicitly select a known local session; the ID is never emitted

Resolve scripts/token_dashboard.py relative to this SKILL.md, then run the executable with the user's arguments. Pi can load the managed Claude/Codex skill directory through its configured skills path, and the collector remains compatible with Pi telemetry:

/path/to/token-dashboard/scripts/token_dashboard.py --offline
/path/to/token-dashboard/scripts/token_dashboard.py --json

Do not replace the collector with ad-hoc transcript reads or provider calls. Never call this skill /usage.

Output contract

The final response must paste the collector's complete stdout verbatim in a fenced code block. Do this even when the Bash tool card already contains the same output or Pi collapses earlier lines. Do not summarize, paraphrase, reformat, truncate, or replace stdout with a success message. Preserve all Current session, Week, and Sources rows, including unavailable and partial diagnostics. Use a json fence for --json and a plain-text fence otherwise. Do not alter the block itself.

Analysis contract

After the verbatim block, add an Analysis section of two to four concise bullets (at most 120 words total):

  • summarize current-session requests and recorded total; when both counters are available, identify cache-read share as telemetry rather than cost;
  • identify the largest week-to-date rows whose total is available, without treating rows with an unavailable total as zero;
  • explain partial, estimated, or unavailable data using the reported source diagnostics; and
  • mention one actionable setup issue, such as a missing OpenRouter management key, only when present.

Read the full file on GitHub · 141 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 5d ago First seen · 141 lines · 29 tokens per session scan A 4b846b2dddf5

Subscribe to this mod's changes

token-dashboard is a skill published in the GitHub repository flurdy/agent-skills (8 stars, last pushed 7d ago), licensed MIT. It adds 29 tokens to every session and 1,578 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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