Star200+

Tokentap

REVIEW · 66
Community indexed

Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions.

Verified installs0
Stars800
Version1.0.0
Quality76/100 · Strong
Trust66/100 · Sandbox only
Audit77/100 · 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 + CLI + Codex

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

Install

Ready

npx skills add jmuncor/tokentap

Maintenance

active

5mo since push

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

800

76/100 Quality · 74/100 Trust

Coverage tags

CodingCoding agentscoding-agentsdeveloper-toolsautomation

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

Strong
76

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
66

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

Audit

Needs review
77

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

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

PythonDeveloper ToolsCodexClaude CodeCursor

Stars

800 GitHub stars

Repo activity

800 stars, 37 forks

Maintenance

5mo since push

License

MIT

Install

npx skills add jmuncor/tokentap

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

  • Financial research output is not financial advice; require human review before any live investment decision.
  • 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

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

PythonDeveloper ToolsCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add jmuncor/tokentap
Policy
block
Human review
yes

Trust and risk

Trust
66/100
Audit
77/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add jmuncor/tokentap
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

Alternative

Code Review

168.6K Stars

npx skills add mattpocock/skills --skill code-review

Alternative

Grill With Docs

164.7K Stars

npx skills add mattpocock/skills --skill grill-with-docs

Alternative

To Spec

164.7K Stars

npx skills add mattpocock/skills --skill to-spec

Alternative

To Tickets

176.7K Stars

npx skills add mattpocock/skills --skill to-tickets

Agent safety v2

37/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

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.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

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

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

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install jmuncor-tokentap

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

Open JSON

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

Resolve text

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

Install handoff

/api/skills/jmuncor-tokentap/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 Tokentap in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Tokentap%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jmuncor-tokentap/install
Install command: npx skills add jmuncor/tokentap
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/jmuncor-tokentap/install

LLM text format

/api/skills/jmuncor-tokentap/install?format=text

Find alternatives

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

Agent prompt

Use Tokentap for this task. Review https://www.openagentskill.com/api/skills/jmuncor-tokentap/install, then install with: npx skills add jmuncor/tokentap

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/jmuncor-tokentap

LLM text

/api/registry/manifest/jmuncor-tokentap?format=text

Install alias

/api/registry/install/jmuncor-tokentap

Recommend

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

Agent fit

89/100

Coding agents

Use-case tags

Coding agentsRAG and knowledgeWorkflow automation

Platforms

Python, Developer Tools, Claude Code

Audit report

Needs review · 77/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

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.

89
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

  • 800 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 76/100 quality profile
  • 5 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.

66
OpenAgentSkill Trust Score

GitHub adoption

INFO

800 GitHub stars

Stars/forks activity

INFO

800 stars, 37 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

5mo since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • 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

  • Financial research output is not financial advice; require human review before any live investment decision.
  • 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

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

76
GitHub stars
800
Freshness
5mo 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.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Automate repeated work

Workflow automation

I need my agent to automate a repeated workflow across tools and files.

Workflow fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

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

Ingest, retrieve, and cite

RAG knowledge base

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

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Code Review

Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

Adopt
Ready100
Quality100
Stars168.6K

Grill With Docs

A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.

Adopt
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Quality100
Stars164.7K

To Spec

Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

Adopt
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Stars164.7K

To Tickets

Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

Adopt
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Stars176.7K

Overview

Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions.

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

Platform compatibility

pythonFULL
developer-toolsFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 18, 2026
Published
Jun 20, 2026

Frameworks & tools

PythonDeveloper Tools

Decision snapshot

Primary pick

89
Ready
Adopt
Stage

800 GitHub stars

Audit

Install review

Install and adoption review

77
Needs review
Security
78/100
Maintenance
76/100
Install
92/100
Open full auditView 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 report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

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

Curator note
Tokentap: Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track...

800 stars

https://www.openagentskill.com/skills/jmuncor-tokentap?ref=x
Open X draft
Optional reply with install command
Listing + install path for Tokentap:
https://www.openagentskill.com/skills/jmuncor-tokentap?ref=x

Install: npx skills add jmuncor/tokentap
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
jmuncor
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 jmuncor 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/jmuncor-tokentap?metric=listed&label=Listed)](https://www.openagentskill.com/skills/jmuncor-tokentap)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/jmuncor-tokentap?metric=trust&label=Trust)](https://www.openagentskill.com/skills/jmuncor-tokentap)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/jmuncor-tokentap?metric=audit&label=Audit)](https://www.openagentskill.com/skills/jmuncor-tokentap/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/jmuncor-tokentap?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/jmuncor-tokentap)
Preview badge Open audit Creator kit

Author

J

jmuncor

@jmuncor

Tags

developer-toolsautomationcodingai-toolsanthropiccliitmproxyllmmproxy

Platform fit

Claude Code

Health signals

GitHub stars
800
Quality score
47/100
Last GitHub push
Apr 3, 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

66
  • GitHub adoption800 GitHub starsINFO
  • Stars/forks activity800 stars, 37 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance5mo since pushINFO
  • 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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Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

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To Spec

Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

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To Tickets

Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

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InstallView on GitHub