session-tokens
Skill0 starsChanged 8 days agoNo licenceView on GitHub
Checks and analyzes token usage—Token In (input_tokens), Token Out (output_tokens), and Token Cache (cache_read_tokens)—for the current Antigravity session, a specific conversation ID, or across all sessions. Computes cumulative totals, cache hit rate (%), current and peak context window sizes, per-turn breakdowns, subagent token usage, and optional interactive HTML reports. Use this skill whenever the user invokes `/session-tokens` or asks to check token in, token out, token cache, context window usage, or token statistics for a session.
In this repositoryOne other file it gives its agents.
- analyze-paperSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 1 is distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

