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Skills/agent-frameworks/TokenTracker

TokenTracker

REVIEW · 73
Community indexed

Track token usage across 22 AI coding tools (Claude Code, Codex, Cursor, Gemini, Roo Code, Zed Agent, Goose, and more) — local-first, zero-config, with a beautiful dashboard, native macOS menu bar app, and 4 desktop widgets.

Downloads0
Stars1.0K
Version1.0.0
Quality87/100 · Excellent
Trust73/100 · Sandbox only
Audit87/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + OpenAI Agents + Cursor

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add mm7894215/TokenTracker

Maintenance

fresh

2d since push

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

1.0K

87/100 quality · 81/100 trust

Coverage tags

CodingCoding agentsagent-frameworksagentsai-agent

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
87

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Sandbox only
73

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
87

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

JavaScriptAI AgentsCodexClaude CodeCursor

Stars

1.0K GitHub stars

Repo activity

1.0K stars, 107 forks

Maintenance

2d since push

License

MIT

Install

npx skills add mm7894215/TokenTracker

Install safety

standard package or runtime install path

Permission surface

secrets or environment access, shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect source files

Suited agents

JavaScriptAI AgentsCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add mm7894215/TokenTracker
Policy
review
Human review
yes

Trust and risk

Trust
73/100
Audit
87/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add mm7894215/TokenTracker
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

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Agent safety v2

51/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add mm7894215/TokenTracker

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20TokenTracker%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20TokenTracker%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/mm7894215-tokentracker/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use TokenTracker in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20TokenTracker%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mm7894215-tokentracker/install
Install command: npx skills add mm7894215/TokenTracker
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/mm7894215-tokentracker/install

LLM text format

/api/skills/mm7894215-tokentracker/install?format=text

Find alternatives

/api/skills/search?q=TokenTracker&limit=3

Agent prompt

Use TokenTracker for this task. Review https://www.openagentskill.com/api/skills/mm7894215-tokentracker/install, then install with: npx skills add mm7894215/TokenTracker

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/mm7894215-tokentracker

LLM text

/api/registry/manifest/mm7894215-tokentracker?format=text

Install alias

/api/registry/install/mm7894215-tokentracker

Recommend

/api/registry/recommend?task=Use%20TokenTracker%20in%20an%20agent%20workflow&limit=3

Agent fit

99/100

Coding agents

Use-case tags

Coding agentsLocal desktopSports analytics

Platforms

JavaScript, AI Agents, Claude Code, OpenAI Agents, Cursor

Audit report

Needs review · 87/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Primary pick for Coding agents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

99
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Coding agents

Trust label

Production-ready

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 1,038 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 87/100 quality profile
  • 3 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

73
Trust score

GitHub adoption

PASS

1.0K GitHub stars

Stars/forks activity

INFO

1.0K stars, 107 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

87
GitHub stars
1.0K
Freshness
2d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Operate local tools

Local desktop

I need my agent to operate local files and desktop apps in a repeatable workflow.

Analyze matches

Sports analytics

I need my agent to analyze football matches, World Cup data, xG, players, teams, and predictions.

Stack fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Alternative shortlist

Compare before you install

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Overview

Track token usage across 22 AI coding tools (Claude Code, Codex, Cursor, Gemini, Roo Code, Zed Agent, Goose, and more) — local-first, zero-config, with a beautiful dashboard, native macOS menu bar app, and 4 desktop widgets.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

javascriptFULL
ai-agentsFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
7/19/2026
Published
5/23/2026

Frameworks & Tools

JavaScriptAI Agents

Decision snapshot

Primary pick

99
Ready
Adopt
Stage

1,038 GitHub stars

Audit snapshot

Install review

Install and adoption review

87
Needs review
Security
82/100
Maintenance
100/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for TokenTracker, ready for a manual X post.

Curator note
Most coding agents don't fail from lack of model power. They fail when repo context disappears.

TokenTracker gives coding agents a repeatable way to plan, patch, review, or ship.

1.0K stars

https://www.openagentskill.com/skills/mm7894215-tokentracker?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for TokenTracker:
https://www.openagentskill.com/skills/mm7894215-tokentracker?ref=x

Install: npx skills add mm7894215/TokenTracker
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
mm7894215
Source
mm7894215/TokenTracker
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to mm7894215 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/mm7894215-tokentracker?metric=listed&label=Listed)](https://www.openagentskill.com/skills/mm7894215-tokentracker)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/mm7894215-tokentracker?metric=trust&label=Trust)](https://www.openagentskill.com/skills/mm7894215-tokentracker)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/mm7894215-tokentracker?metric=audit&label=Audit)](https://www.openagentskill.com/skills/mm7894215-tokentracker/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/mm7894215-tokentracker?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/mm7894215-tokentracker)
Preview badge Open audit Creator Kit

Author

M

mm7894215

@mm7894215

Tags

agentsai-agentaiai-toolsantigravityclaude-codeclicodex-clicost-trackercursor

Platform Fit

Claude CodeOpenAI AgentsCursor

Health Signals

GitHub stars
1.0K
Quality score
55/100
Last GitHub push
Jul 19, 2026
Framework hints
2
OpenAgentSkill views
3
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Sandbox only

73
  • GitHub adoption1.0K GitHub starsPASS
  • Stars/forks activity1.0K stars, 107 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance2d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, credential or environment accessCHECK

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The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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