omni-usage-logs

omni-usage-logs is a skill for Claude Code, Codex from diegosouzapw/OmniRoute. It costs 39 tokens per session (2,083 once invoked), scanned A, original, MIT.

A tool for viewing detailed call records and usage summaries, including provider, model, time, status, cost, and token information.

In plain words
What is it for?
Use it to filter and inspect call logs, view usage by connection or time period, export records, and aggregate token usage.
Why use it?
It makes it easier to investigate requests and understand how connections and models are being used.

Skill for Claude CodeCodex

About the project

OmniRoute is an AI gateway that gives coding agents one endpoint for accessing models from many providers, with quota-aware fallback between them. It is for people using Claude Code, Codex, Cursor, OpenCode, Cline, Copilot, and similar tools who want a single route to their available AI models.

diegosouzapw/OmniRoute · 61,268 stars · on GitHub

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/diegosouzapw/omniroute/omni-usage-logs
Any agent
npx skills add diegosouzapw/OmniRoute --skill omni-usage-logs
Clone the repo
git clone --depth 1 https://github.com/diegosouzapw/OmniRoute

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 omni-usage-logs

README.md
[![agentmods](https://agentmods.dev/badge/skills/diegosouzapw/omniroute/omni-usage-logs.svg)](https://agentmods.dev/skills/diegosouzapw/omniroute/omni-usage-logs)
Your own site
<a href="https://agentmods.dev/skills/diegosouzapw/omniroute/omni-usage-logs"><img src="https://agentmods.dev/badge/skills/diegosouzapw/omniroute/omni-usage-logs.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,083 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00039 $0.02083
Opus 5 $0.00019 $0.01042
Sonnet 5 $0.00008 $0.00417
Haiku 4.5 $0.00004 $0.00208

Measured 3d ago against content hash 27cbd5926dec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

omni-usage-logs 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 3d 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 https://localhost:20128/api/usage/analytics \
skills/omni-usage-logs/SKILL.md · 329 lines

How it starts

The opening of the file, as written. The whole thing — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Access detailed call logs and usage analytics. Filter by provider, model, time range, status, and cost. Export logs and aggregate token usage across all connections.

Authentication

All requests require a valid Bearer token or session cookie. Obtain a token via POST /api/auth/login or configure REQUIRE_API_KEY=false for local development.

Endpoints

GET /api/usage/analytics

Get usage analytics

curl https://localhost:20128/api/usage/analytics \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"

GET /api/usage/call-logs

Get call logs

curl https://localhost:20128/api/usage/call-logs \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"

GET /api/usage/call-logs/{id}

Get a specific call log

curl https://localhost:20128/api/usage/call-logs/{id} \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"

GET /api/usage/{connectionId}

Get usage for a specific connection

curl https://localhost:20128/api/usage/{connectionId} \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"

GET /api/usage/history

Get usage history

curl https://localhost:20128/api/usage/history \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"

GET /api/usage/logs

Get usage logs

curl https://localhost:20128/api/usage/logs \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"

GET /api/usage/proxy-logs

Get proxy logs

curl https://localhost:20128/api/usage/proxy-logs \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"

GET /api/usage/request-logs

Get request logs

curl https://localhost:20128/api/usage/request-logs \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"

GET /api/usage/budget

Get usage budget status

Returns current budget limits and consumption.

curl https://localhost:20128/api/usage/budget \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"

POST /api/usage/budget

Read the full file on GitHub · 329 lines

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. 3d ago Changed · +186 lines 27cbd5926dec
  2. 5d ago First seen · 143 lines · 39 tokens per session scan A 4a644995266e

Subscribe to this mod's changes

omni-usage-logs is a skill published in the GitHub repository diegosouzapw/OmniRoute (61,268 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 2,083 once invoked, about $0.0002 per session on Opus 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.

Related

Other skills, from other repositories

workflow-ai-coding

Edit, validate, debug, publish, and inspect ReachAI Workflow drafts through the Workflow AI Coding REST API. Use when asked to create or modify a workflow graph, add/update/delete nodes or edges, validate GraphSpec, dry-run or debug-run a workflow, inspect trace/run output, check release readiness, publish a validated…

w8123/EnterpriseAgentFramework · 85 tokens

reachai-onboarding

Integrate Java business systems with ReachAI SDK registration, SDK instance heartbeat, gateway/embed access, and optional API Management handoff. Use when asked to connect a Spring Boot service to ReachAI, add reachai-capability-sdk or reachai-spring-boot2-starter, configure…

w8123/EnterpriseAgentFramework · 96 tokens

9router-web-fetch

Fetch URL → markdown / text / HTML via 9Router /v1/web/fetch using Ollama Cloud / Firecrawl / Jina Reader / Tavily Extract / Exa Contents. Use when the user wants to scrape a webpage, extract URL content, read article, or convert a URL to markdown.

decolua/9router · 67 tokens

9router-web-search

Web and X search via 9Router /v1/search using Tavily / Exa / Brave / Serper / SearXNG / Google PSE / Linkup / SearchAPI / You.com / Perplexity / Xquik. Use when the user wants to search the web, find articles, or search public X posts.

decolua/9router · 74 tokens

9router-stt

Speech-to-text via 9Router /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI / NVIDIA / HuggingFace models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.

decolua/9router · 63 tokens

9router-embeddings

Generate vector embeddings via 9Router /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia / GitHub embedding models for RAG, semantic search, similarity. Use when the user wants embeddings, vectors, RAG, semantic search, or to embed text.

decolua/9router · 66 tokens