scan-codebase

Run the deterministic codebase scanner (core/components/plays/codify/lib/scan.py) over one or more repository roots and produce a bounded scan-index.json under STM. This skill is the sole structured-input producer for every infer-*-from-code skill. No LLM is involved — it shells out to scan.py and records status. Used exclusively by the /codify play.

Ir a la instalación

Repositorio: kapilvirenahuja/garura
Última actividad en el origen: 3 de julio de 2026 a las 06:46
Idioma detectado de SKILL.md: inglés
Estrellas: 3
Forks: 0

Opciones de instalación

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npx skills add https://github.com/kapilvirenahuja/garura --skill scan-codebase

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SKILL.md

Instrucciones de origen · Vista previa de solo lectura

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install-garura

Install Garura into a target project or repository so its skills, agents, and plays become discoverable by a host coding tool — Claude Code or the OpenAI Codex CLI. Reads this garura checkout's core/components and runs a per-tool ADAPTER that lays them down in the host's native shape: for claude, .claude/ skills + agents with model tiers resolved to Claude models; for codex, .agents/skills Agent Skills plus AGENTS.md and ~/.codex model/sandbox/approval profiles. Always writes a .garura/ tooling tree (config + STM scaffold) and copies shared memory to the machine-global ~/.garura, and records an install manifest so uninstall-garura can reverse exactly what was placed. Use when the user wants to install, set up, bootstrap, add, or enable Garura in another folder or repo for claude or codex — "install garura into X", "set up garura in this repo for codex", "bootstrap garura", "make codex see the garura skills". Takes the target path, an optional --tool, and an optional --scope (full = everything, the default; ha

2026-07-21

play-creator

Compile a deterministic "play" (a multi-step, gated workflow recipe) from an intent. Interviews for the intent triple, generates the expectation, identifies the skills, scripts, and agents the play needs, selects a workflow structure, generates evals, and emits a compiled play (a SKILL.md plus bundled scripts for its mechanical work). Use this whenever the user wants to create, build, compile, or review a play — or says "create a play", "new play", "compile this into a play", "play-creator", "turn this intent into a play", or "review my play for gaps" — even if they don't say the word "play" explicitly but are describing a repeatable, multi-step, checkpoint-gated workflow they want captured as a runnable recipe.

2026-07-21

play-editor

Modify an existing compiled play — change its goal, a constraint, a failure condition, a success scenario, a step, the workflow shape, or the agents/skills it uses — by editing the play's ICE source and recompiling, never by hand-patching the output into disagreement with its intent. This is the companion to play-creator (which makes new plays). Use this whenever the user wants to edit, change, modify, update, tweak, extend, or fix an existing play — or says "edit the play", "change this play", "add a constraint to the play", "the play needs a new failure condition / step / scenario", "play-editor", or "recompile the play after I changed its intent" — even if they don't say "play" outright but are clearly reshaping a workflow recipe that already exists.

2026-07-21

Ver todos los de este repositorio

name	scan-codebase
description	Run the deterministic codebase scanner (core/components/plays/codify/lib/scan.py) over one or more repository roots and produce a bounded scan-index.json under STM. This skill is the sole structured-input producer for every infer-*-from-code skill. No LLM is involved — it shells out to scan.py and records status. Used exclusively by the /codify play.
version	0.1.0
user-invocable	false
model	sonnet
allowed-tools	Read, Write, Grep, Glob
deprecated	true
deprecated_note	#434 ProductOS realignment — superseded by the command model; retained for Phase E reference, not installed

scan-codebase

Called by the /codify play before any inference agent dispatches. Produces scan-index.json in STM. The index is the only structured-input that downstream inference skills consume.

Purpose

Garura's /codify play is a brownfield bootstrap — it reverse-engineers a product's LTM from an existing codebase. Before any LLM inference runs, a deterministic scan extracts structured facts: manifest data, directory tree, git signals, framework idioms, frontend detection, ADR harvest, config surface. That scan is this skill's job. Agents must never navigate source code as their primary input — they reason over the scan-index this skill produces.

Input

Receive from the /codify play orchestrator via JSON contract.

repo_roots (list[path], required) — one or more absolute repository root paths to scan. Multi-repo monorepos pass multiple entries.
output_path (path, required) — {stm_base}/{issue}/evidence/codify/scan-index.json
size_limit_mb (int, optional, default 10) — soft cap on scan-index.json size; scan writes a partial index with scan_status: budget_exhausted on breach.
time_limit_seconds (int, optional, default 600) — soft cap on wall-clock duration.
extra_ignore (list[str], optional) — additional ignore globs beyond the built-in list (node_modules, dist, .git, etc.).

Process

1. Validate inputs

Confirm every entry in repo_roots is an absolute path to an existing directory. Missing or non-directory → structured failure with what_failed: invalid_repo_root and the offending path.
Confirm output_path parent directory is writable. If parent does not exist, create it. Failure to create → structured failure with what_failed: stm_path_unwritable.
Confirm Python 3.8+ is on PATH. Missing → structured failure with what_failed: python_missing.
Confirm scan.py exists at core/components/plays/codify/lib/scan.py relative to repo root. Missing → structured failure with what_failed: scan_script_missing.

2. Invoke scan.py

Build the command line:

python3 core/components/plays/codify/lib/scan.py \
    --output <output_path> \
    --size-limit-mb <size_limit_mb> \
    --time-limit-s <time_limit_seconds> \
    --path <root_1> [--path <root_2> ...] \
    [--ignore <pattern> ...]

scan-codebase

Opciones de instalación

Revisa los archivos de origen

scan-codebase

Purpose

Input

Process

1. Validate inputs

2. Invoke scan.py

scan-codebase

Purpose

Input

Process

1. Validate inputs

2. Invoke scan.py

3. Inspect status

4. Emit result

Output

Failure Modes

Notes

scan-codebase

Datos de origen

Opciones de instalación

Revisa los archivos de origen

Más de este repositorio

Más de este repositorio

scan-codebase

Purpose

Input

Process

1. Validate inputs

2. Invoke scan.py

scan-codebase

Purpose

Input

Process

1. Validate inputs

2. Invoke scan.py

3. Inspect status

4. Emit result

Output

Failure Modes

Notes