AgentMeter vs Skillburst

AgentMeter and Skillburst are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

AgentMeter

AgentMeter runs locally — no cloud sync, no account creation, no vendor dashboard to log into — and parses the tool calls, token counts, and caching splits that CLI agents like Claude Code, Gemini CLI, Codex CLI, and Copilot CLI generate. It surfaces the three-tier cost structure that prompt caching creates (input, cached-input, and output tokens each priced differently), which the raw API bill flattens into noise. The value-multiplier calculation compares API spend against estimated developer time saved, giving you a number to put in front of a manager. The wall appears when you need alerting, real-time budget enforcement, or integration with a team billing system — none of that is here.

Skillburst

Skillburst sits between your GitHub-managed skill files and the AI tools your team already has open — Claude Code, Cursor, Gemini — syncing approved workflows to everyone automatically via MCP connection. Engineers author and review SKILL.md files in GitHub; everyone else gets those skills inside their AI assistant without installing anything or copy-pasting prompts. Version control is built in: team leads approve updates, full history is kept, and one-click rollback exists if something breaks. Usage analytics are listed as coming soon, so right now you cannot measure which skills are pulling weight and which have gone stale. The governance layer — approvals, semantic versioning, audit logs — is a paid-only feature tier.

Attribute	AgentMeter	Skillburst
Pricing	Free	Paid
Free trial	No	15 days
Open source	Yes	No
Has API	No	Yes
Self-hosted option	Yes	No
Platforms	macOS, Linux, Windows (Python)	Web (MCP clients: Claude Code, Cursor, Codex, Gemini)
Pros	Runs entirely on-device with no account, no cloud sync, and no vendor access to your session data, so usage patterns and project names never leave your machine. Breaks prompt-caching costs into the three actual billing tiers (input, cached-input, output), so you can see whether your caching strategy is paying off instead of inferring it from a flattened total. Per-session and per-project cost aggregation across Claude Code, Gemini CLI, Codex CLI, and Copilot CLI, which means you get a unified spend view instead of hunting across four separate dashboards. Value-multiplier calculation compares API spend against estimated developer time saved, so you have a concrete number when someone asks whether the agent usage is worth the invoice. Open-source under Apache-2.0, so you can audit exactly what it reads and how costs are calculated — no black-box pricing assumptions you have to take on faith.	GitHub-native authoring workflow, so engineers manage skills with the same pull-request and review process they already use — no parallel tooling to maintain, no context switching. MCP-based distribution means approved skills land in Claude Code, Cursor, Codex, and Gemini automatically after a one-time connection, so non-technical staff never manually update a prompt again when an engineer improves the underlying workflow. Built-in approval and version history with one-click rollback, so a bad skill update can be undone before it propagates further — without this, teams catch errors only after colleagues have already run the broken version. Role-based access and organization-scoped data storage, so skills stay inside your org and do not cross into shared or public surfaces — relevant for teams handling proprietary processes. Supports three ingestion paths (local push, GitHub commit, zip upload), so teams without a standardized GitHub workflow can still get skills into the catalog without re-architecting how they work.
Cons	There are no budget caps or threshold alerts. A session can exhaust your API credits before AgentMeter reports on it — the tool tells you what happened after the fact, not while it is happening. Teams that need spend enforcement have to wire up separate controls at the API key or infrastructure level. No shared or multi-user view exists. If two developers are both running Claude Code on the same project, their session data stays on their own machines. Teams that need consolidated spend reporting across contributors cannot get it here and will move to a vendor-native dashboard or a shared cost-tracking layer instead. Support is limited to CLI agents (Claude Code, Gemini CLI, Codex CLI, Copilot CLI). If your stack includes API-direct integrations, LangChain pipelines, or custom agent frameworks, AgentMeter produces nothing — you are back to reading raw API logs.	Web-based AI interfaces are not yet supported: claude.ai and ChatGPT on the web use OAuth connectors that the vendor has flagged as roadmap items but not shipped. Teams whose non-technical staff use those web products — not desktop or API clients — cannot reach the distribution layer at all, and those teams will default to manual prompt sharing while waiting. Usage analytics are listed as coming soon, which means you cannot currently tell which skills are being used, which are stale, or where the gaps are. Teams that need data to justify the catalog or identify dead weight are operating blind, and governance-focused organizations will find this gap reason enough to keep a spreadsheet alongside the tool. Audit logs are a paid-only feature, so any team that needs a compliance trail for AI usage — regulated industries, procurement reviews, security audits — cannot get that on the free tier. When audit requirements are non-negotiable, teams either upgrade or route around Skillburst toward a platform where logging is included at the base tier. There is no self-hosted option, which means organizations with strict data residency requirements or air-gapped environments have no path to deployment. Teams in those situations will need a different architecture entirely.

Bottom line

AgentMeter is free while Skillburst is paid; AgentMeter is open source; only Skillburst exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AgentMeter and Skillburst?

AgentMeter is Free and open source, while Skillburst is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AgentMeter better than Skillburst?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.