lambdalisue/cclens/doctor

Claude Code and agent skill by lambdalisue/cclens

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

One-screen health check of the user's Claude Code usage via cclens — where tokens go, always-on context cost, recurring tool failures, unused config. Use when the user asks how their Claude Code setup is doing, where time or tokens are being spent or wasted, or for a cclens doctor / health check.

Install

npx vskill@latest install lambdalisue/cclens/doctor

SKILL.md

cclens doctor — usage health check

Run cclens over the user's Claude Code transcripts and config, then present the one-screen health check. Everything runs locally and read-only over ~/.claude; nothing is sent anywhere.

1. Resolve the binary

  • Binary: use cclens if command -v cclens finds it. Otherwise run every

command below through Nix instead: nix run github:lambdalisue/cclens -- <subcommand …>. If neither cclens nor nix is available, stop and tell the user how to install it (nix profile install github:lambdalisue/cclens, or cargo install --git https://github.com/lambdalisue/cclens).

Omit --db everywhere: the store defaults to a per-user path (${XDG_STATE_HOME:-~/.local/state}/cclens/cclens.db), so nothing is dropped into the current project.

2. Report

sh
cclens doctor

doctor refreshes the store automatically (incremental; fast when current) and prints a freshness line on stderr. If the user asked about one layer, add --scope global or --scope project:<slug>. (doctor has a --format json for machine use, but present the default text form.)

3. Present

Relay the report's findings in the conversation language, keeping its structure — it is split into a global section (fix in ~/.claude) and per-project sections (fix in each project's own config) precisely because those are different tasks; do not merge them back together. Preserve the caveats it prints (estimated tokens, evaluation windows); they exist so numbers are not over-trusted. Do not pad it with generic advice.

Close by naming the follow-ups: /cclens:optimize to investigate and fix the findings, /cclens:query for any specific slice the report does not show.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
90
Repository forks
7
7-day trend score
23

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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