docs: list new skills and add external-skill vetting note

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Kimi Code
2026-08-07 18:58:38 +02:00
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@@ -71,6 +71,27 @@ than assuming the delegate can fetch it itself.
actual (profane) tone -- deliberately not installed here; see
[Mte90/linus-torvalds-skill](https://github.com/Mte90/linus-torvalds-skill)
directly if that's ever wanted instead.
- `code-review` -- two-axis review (Standards + Spec) of a diff against a
fixed point, run as parallel sub-agents so neither axis masks the other.
- `codebase-design` -- shared vocabulary for designing deep modules
(interface, seam, depth, adapter, leverage, locality) and applying the
deletion test.
- `diagnosing-bugs` -- disciplined loop for hard bugs and regressions:
build a tight feedback loop, reproduce, minimise, hypothesise,
instrument, fix, then post-mortem.
- `full-output-enforcement` -- override default LLM truncation; ban
placeholder comments and partial outputs, and handle long outputs
cleanly.
- `handoff` -- compact the current conversation into a portable document
so another agent can continue the work.
- `redesign-existing-projects` -- audit an existing UI for generic AI
patterns, then upgrade it piece by piece without rewriting the stack.
- `research` -- delegate reading legwork to a background agent against
primary sources, and capture cited findings as a Markdown file.
- `resolving-merge-conflicts` -- resolve an in-progress git merge or
rebase conflict by tracing each side's intent; never `--abort`.
- `tdd` -- red-green-refactor test-driven development, one vertical slice
at a time, at pre-agreed seams.
## Provenance
@@ -82,6 +103,21 @@ each skill's frontmatter:
- [SuperClaude-Org/SuperClaude](https://github.com/SuperClaude-Org/SuperClaude_Framework) (MIT)
- andrej-karpathy-skills (MIT)
- [Mte90/linus-torvalds-skill](https://github.com/Mte90/linus-torvalds-skill) (CC0-1.0)
- [mattpocock/skills](https://github.com/mattpocock/skills) (MIT)
- [Leonxlnx/taste-skill](https://github.com/Leonxlnx/taste-skill) (MIT)
## Vetting external skills
Before installing a skill from an external repo, run NVIDIA
[SkillSpector](https://github.com/NVIDIA/SkillSpector) against it with
`--no-llm` (static analysis is enough for text-only skills) and review the
report. A score of `SAFE` with no plausible issues is the default bar; if
it reports `CAUTION`, inspect each finding manually -- most are false
positives for skill content, but treat any that touch executable scripts,
credential handling, or hidden instruction leakage seriously. Re-run the
scanner on the adapted `SKILL.md` after trimming upstream-only files
(templates, plugin metadata, sibling docs) so the result reflects what
will actually live in this repo.
## Adding a new skill