Skill v1.0.0
currentAutomated scan100/100description: Measure the loaded-versus-fired gap - what fraction of each category of loaded context is ever actually invoked, and which MCP tools return mostly noise. Use when asked how much of the context is earning its place, or which categories are worst. metadata: version: "1.0.0"
skillreaper - loaded vs fired
Run reap gap --agent, then paste its output verbatim.
Do not reformat, re-order, summarise, truncate or re-align anything, and do not add a heading or a table of your own: the binary already renders the report, including its closing attribution line.
Arguments
Append any $ARGUMENTS tokens that begin with -; ignore anything else and say so. --days N sets the evidence window (default 30).
If reap is not installed
Decide with command -v reap and nothing else - never an absolute path, never a filesystem search: a copy found off PATH may be an older build, and silently using it hides a broken install.
If that fails, print exactly this and nothing else:
reapis not installed. Run it once without installing anything:```bashnpx skillreaper```Or install it permanently:```bashbrew install thousandflowers/tap/skillreaper``````bashgo install github.com/thousandflowers/skillreaper/cmd/reap@latest```
If reap is too old
reap gap --agent needs reap ≥ 0.5.0. If it exits with flag provided but not defined: -agent, say the installed build is too old and give brew upgrade skillreaper (npm: npm install -g skillreaper@latest) - an upgrade, never the install block above, which they have already done.
Reading it out
After the pasted report you may add one or two sentences, no more. Name the worst category by token reach rather than by item count - a hundred unused 5-token agents matter less than three unused 300-token skills. /skillreaper:reap lists the specific items.