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dsh-skill-stats

Client Updated 2026.08.16

Run the following command in DeepSeek Harness:

dsh plugin install chen-zz20/dsh-skill-stats

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install chen-zz20/dsh-skill-stats in DeepSeek Harness to add the plugin to your profile bundles automatically; full source is available at https://github.com/chen-zz20/dsh-skill-stats .

About this plugin

Your skill library keeps growing, but it is hard to tell which skills are actually being invoked and which are quietly taking up space. dsh-skill-stats is a read-only statistics plugin that modifies no session logs and no skill files. It surfaces, for every skill, the cumulative call count, the number of sessions that used it, first and most recent invocation times, and the exact timestamp of each call, so you can decide what to keep and what to retire with data instead of gut feeling.

Data flows through two channels: on startup the plugin replays historical tool/call events from persisted session logs, and while running it subscribes to live tool-call events, incrementing counts in real time. The session view lets you inspect a single session skill usage with mini trend charts and expandable call details; the global panel lists every skill, including those with zero usage, with sortable tables, SVG trend graphs, and 1/3/7/30-day range filters. An incremental cache keyed on file size and modification time means restarts only replay changed logs, and a loading indicator ensures an in-progress replay is never mistaken for a skill that was never used. Skills whose directories no longer exist in any workspace or global root are explicitly flagged as deleted.

If you juggle multiple workspaces, have accumulated a large skill collection, or need to quantify usage across a team, this plugin slots straight into your workflow. The plugin form factor grants real-time statistics, a capability that skill-only tools limited to post-hoc full scans simply cannot match. Read-only, zero-intrusion, MIT-licensed: install it and the numbers start telling the story immediately.

Use Cases

  • Deciding which skills to keep and which to retire
  • Quantifying call frequency and trends across sessions
  • Getting a unified usage overview across multiple workspaces

Best For

  • Developers maintaining a large skill library
  • Teams making data-driven cleanup decisions
  • Individual users tracking skill invocation efficiency