| name | kiss-codebase-scan |
| description | Scans an existing codebase and produces an overview: language + LOC by directory, detected frameworks, entry points, test coverage signals, build/lint/format tooling. Serves as input for all other technical-analyst skills. Use when onboarding to a new codebase, starting a technical analysis, or before running architecture extraction or dependency mapping. |
| compatibility | Requires kiss project structure with .kiss/ directory |
| metadata | {"author":"github-kiss","source":"agent-skills/kiss-codebase-scan/kiss-codebase-scan.md"} |
| user-invocable | true |
| disable-model-invocation | false |
User Input
$ARGUMENTS
Audience and tone (interactive mode)
When KISS_AGENT_MODE=interactive (the default), assume the user
has limited technical background and limited domain knowledge
— they may know basics but lack deep expertise in this skill's
area. Run this skill as a guided questionnaire:
- One question at a time. No walls of questions.
- Yes / no first. Phrase so
yes, no, not sure, or skip
is a valid answer.
- Translate jargon, don't strip it. Use the technical term but
always pair it with a plain-English gloss the first time it
appears.
- Choices, not blank fields. When yes/no isn't enough, offer
2-4 lettered options (A/B/C/D) with one-line plain-language
descriptions of the trade-off. Always include "Not sure — pick
a sensible default".
- Always recommend. State the option you would pick and why in
one sentence so the user can reply "yes" / "ok" to accept. Pull
defaults from upstream artefacts (spec, architecture, ADRs,
standards) before asking blank.
- Show, don't ask. When upstream artefacts already imply an
answer, propose it as a pre-filled finding and ask for a
yes / no confirmation rather than asking the user to fill in a
blank.
not sure / skip triggers a sensible default, marked
"(default applied — confirm later)" in the artefact, and a debt
entry in this skill's debt file.
When KISS_AGENT_MODE=auto (or --auto), skip the questionnaire
entirely: apply sensible defaults from upstream artefacts and log
decisions to the parent agent's decision log.
Inputs
- Project root files (package.json, pyproject.toml, go.mod, …)
- Source tree under
src/, lib/, app/, …
Outputs
{context.paths.docs}/analysis/codebase-scan.md
{context.paths.docs}/analysis/codebase-scan.extract
Context Update
Does not mutate .kiss/context.yml.
Handoffs
kiss-arch-extraction starts from this scan.
kiss-api-docs narrows to detected HTTP / RPC frameworks.
kiss-dependency-map uses the LOC + entry-point list.
AI authoring scope
Does: classify files by extension, count LOC per top-level
dir, detect primary language(s), detect frameworks (web, test,
build, lint), find entry points (main.*, server.*,
index.*).
Does not: modify files, run tests, push anything.
Usage
<SKILL_DIR> = the integration's skills root (e.g. .claude/skills/
for Claude Code, .agents/skills/ for Antigravity / Codex,
.cursor/skills/ for Cursor, .windsurf/workflows/ for Windsurf).
Scripts live at <SKILL_DIR>/<skill-name>/scripts/….
bash <SKILL_DIR>/kiss-codebase-scan/scripts/bash/scan.sh --auto
Answer keys
| Key | Default |
|---|
CS_EXCLUDE_GLOBS | node_modules/**,dist/**,.venv/**,build/**,target/** |