Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for anyone juggling Claude Code, Codex, Cursor, Gemini CLI, Roo Code, Goose, and similar tools: it turns scattered usage logs into one readable local view so teams can spot cost drift before it becomes a budgeting problem.
Who should use it
Who should skip it
Skip mm7894215/TokenTracker unless the captured evidence suggests it solves a problem you are actively working on.
About this signal
mm7894215/TokenTracker is tracked by RepoRadar as a developer tool in the Radar section. It was first seen on 2026-06-19 and last updated on 2026-06-19. The current verdict is 'try now' with a Gold tier and easy setup difficulty. The standout signals for mm7894215/TokenTracker are workflow potential (10.0) and practical usefulness (9.0), while novelty (7.0) trails — that balance shapes where it fits best. This page summarizes the public evidence on the linked source page and states where additional review is still needed. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned mm7894215/TokenTracker a composite score of 8.9 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 85.0 and never affects the composite score or tier. The risk label of 'none' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
No inherent user-impacting risk is flagged from the captured evidence.