Factory kit audit
Measure the factory-kit's token footprint — baseline vs on-demand, heaviest assets, trim candidatesFrom its SKILL.md
npx -y skills add nonlinear-xyz/factory-kit --skill factory-kit-auditAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 9 stars9 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
- runs commandsInstructs the agent to run 2 commands, including `<kit_root>/bin/kit-audit.sh` and 1 more.
SKILL.md
1.8 KB, 386 tokens by cl100k_base, as published. Nobody here has run it
You're auditing the factory-kit's token cost. This is a read-only report — no files change, no symlinks touched.
What to do
-
Resolve the kit root. The script lives at
bin/kit-audit.shin the installed kit. Prefer the host's current-skill-directory capability and walk up fromskills/factory-kit-audit/to the plugin root. For symlink installs, resolve the currentSKILL.mdsymlink before walking up. Do not assume a fixed home-directory checkout.If the kit can't be found, tell the user to run the kit's
install.shfirst and stop. -
Run the audit. Execute
<kit_root>/bin/kit-audit.shthrough the host's shell capability. The script prints the report to stdout. -
Show the output verbatim in a fenced code block. Don't reformat it — the column alignment matters.
-
One-line takeaway. Below the code block, a single sentence calling out what matters most. Pick from:
- Baseline cost framing — "Baseline is Xk tokens per session; everything else is on-demand."
- Outlier flag — if the trim section named outliers, restate the action
- All-good — "Kit is balanced; no trim work needed."
No further commentary. The numbers speak; you point at the one thing worth doing.
Style
Follow factory-voice.md. This is a diagnostic — terse, numbers-first, no narration. If the user asks "why X is so large," then dig in. Don't volunteer interpretation beyond the one-line takeaway.
The script's estimate is ~4 chars per token. Real tokenizer counts differ by 10-20%. Don't overstate precision — the relative shape across assets is what's actionable, not the absolute numbers.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.