Skill code-improver
✓ VerificadoEjecuta un bucle autónomo de revisión y corrección sobre objetivos de código utilizando un agente o SKILL específico hasta que se cumplan los requisitos de la revisión.
- Estrellas en GitHub
- 8136
- Archivos
- 1
- Último commit
- 11 nov 2026
- Licencia
- CC-BY-SA-4.0
- Herramientas permitidas
- 6
¿Qué hace la skill code-improver?
code-improver es una agent skill. Ejecuta un bucle autónomo de revisión y corrección sobre objetivos de código utilizando un agente o SKILL específico hasta que se cumplan los requisitos de la revisión.
Resumen generado a partir del SKILL.md de la skill.
Sobre la skill code-improver
Los desarrolladores pueden automatizar el proceso iterativo de refinamiento de código mediante la ejecución de un bucle autónomo de revisión y corrección. Esta skill funciona coordinando a un revisor designado, que puede ser cualquier agente o skill instalado, con un subagente corrector para resolver problemas hasta lograr una revisión limpia. Está diseñada para mejorar objetivos específicos como directorios, módulos o plugins, aplicando correcciones de forma repetida y verificándolas frente a un conjunto de requisitos.
El proceso depende de la herramienta Workflow para ejecutar un script en segundo plano que gestiona un registro de hallazgos, aplica controles de alcance (scope guards) y maneja la escalación si las correcciones no logran converger. Utiliza herramientas como Bash Glob, Read y TaskOutput para gestionar el entorno. A diferencia de la edición manual, este flujo de trabajo garantiza que todos los cambios se mantengan dentro del working tree sin realizar commits, y proporciona feedback estructurado sobre si el bucle convergió, alcanzó un límite máximo de rondas o se detuvo debido a violaciones de alcance.
Lo que un agente puede hacer con ella
- 1Refinamiento iterativo de códigoEjecuta un bucle continuo para mejorar un directorio específico hasta que un revisor designado no encuentre problemas críticos.
- 2Cumplimiento de calidad automatizadoAsegura que el código cumpla con estándares específicos mediante un bucle de revisor y corrector hasta que no queden hallazgos mayores.
Escrito a partir del SKILL.md de la skill. Cada caso de uso se verifica con una cita del mismo.
Cómo instalar la skill code-improver
Cada comando copia la carpeta de la skill al directorio de skills del cliente. Reinicia el cliente o inicia una nueva sesión para cargarla.Instalar la skill code-improver en Plugin
/plugin marketplace add trailofbits/skills /plugin install code-improver@trailofbits
Instalar la skill code-improver en Claude Code
~/.claude/skills/code-improver/SKILL.md
$ npx degit trailofbits/skills/plugins/code-improver/skills/code-improver ~/.claude/skills/code-improverInstalar la skill code-improver en Claude Code (project)
.claude/skills/code-improver/SKILL.md
$ npx degit trailofbits/skills/plugins/code-improver/skills/code-improver .claude/skills/code-improverInstalar la skill code-improver en Codex
~/.agents/skills/code-improver/SKILL.md
$ npx degit trailofbits/skills/plugins/code-improver/skills/code-improver ~/.agents/skills/code-improverInstalar la skill code-improver en Gemini CLI
~/.gemini/skills/code-improver/SKILL.md
$ npx degit trailofbits/skills/plugins/code-improver/skills/code-improver ~/.gemini/skills/code-improverInstalar la skill code-improver en Claude.ai
npx degit trailofbits/skills/plugins/code-improver/skills/code-improver code-improver && zip -r code-improver.zip code-improver # claude.ai → Customize → Skills → + → Create skill → Upload a skill → code-improver.zip
Verificaciones automáticas
Ejecutado 14 nov 2026Informe completo →Superó nuestras comprobaciones automáticas. No es una auditoría de seguridad: lee los scripts antes de dejar que un agente los ejecute. Cómo funcionan las verificaciones
- Repositorio de origen vinculado y accesibletrailofbits/skills/plugins/code-improver/skills/code-improver is public and reachablegithub.com/trailofbits/skills/tree/HEAD/plugins/code-improve ↗Aprobado
- Licencia de código abierto (OSI)CC-BY-SA-4.0 is not OSI-approvedspdx.org/licenses/CC-BY-SA-4.0.html ↗Hallazgo
- Commit o lanzamiento en el último añoLast commit 2026-11-11github.com/trailofbits/skills/commits ↗Aprobado
- Sin descargar y ejecutar ni robo de credenciales en los scriptsNo scripts in the skill folderAprobado
- Sin instrucciones ocultas en SKILL.mdNo override phrases, safeguard switches, credential requests or hidden charactersgithub.com/trailofbits/skills/blob/HEAD/plugins/code-improve ↗Aprobado
- Las herramientas preaprobadas están acotadasBash lets the agent run any shell command without askinggithub.com/trailofbits/skills/blob/HEAD/plugins/code-improve ↗Hallazgo
SKILL.md
Ver en GitHubCode Improver
Improve any code target by running /code-improver:improve — a dynamic workflow that
loops the named reviewer and a fixer subagent until a review reports zero critical/major
findings, then strips its own residue. The loop, its ledger, and its guards live in the
workflow; this skill collects the three inputs the generic entry requires and relays the
outcome.
Starting the loop
The user provided: $ARGUMENTS (if empty, take the details from the conversation).
1. Collect the three required inputs — no guessing
- Target: the absolute path to the directory under improvement. Resolve relative paths against the working directory; verify the directory exists.
- Reviewer: the installed skill or agent that performs every review. The user must
name it — there is no default and no bundled reviewer. Determine the kind:
- a namespaced agent (e.g.
plugin-dev:skill-reviewer) →"kind": "agent" - an installed skill (e.g.
pr-review-toolkit:review-pr) →"kind": "skill"If the name could be either, check the session's skill listing; if still ambiguous, ask the user. If no reviewer was named, ask — do not pick one.
- a namespaced agent (e.g.
- Scope: repo-relative globs the loop may touch. The generic entry requires it
explicitly; if the user did not give one, propose the target directory
(
<repo-relative-target>/**) and confirm before launching.
2. Resolve the loop script
Resolve improve.js from this SKILL.md's installed location
to an absolute path and confirm the file exists. Its plugin directory is pluginRoot.
Use this exact plugin copy; if the file is missing, stop.
3. Invoke the workflow
Run it with the Workflow tool, {scriptPath: "<the path from step 2>", args: {...}}:
{
"target": "<absolute target path>",
"reviewer": { "kind": "agent|skill", "name": "<namespaced-name>", "notes": "<what the reviewer should know about the target>" },
"scope": ["<repo-relative-glob>/**"],
"pluginRoot": "<the plugin directory from step 2>",
"maxRounds": 5
}
maxRoundsonly if the user asked for a different cap.pluginRootis the resolved plugin directory from step 2, for the metrics collector.finalize({"version_bump": bool, "narration_strip": bool, "docs_pass": bool}) only to override the defaults: version bump when the target sits inside a plugin, narration strip and docs pass always.decisiononly on continuation (below).
The workflow runs in the background and needs no babysitting: it reviews, fixes, re-reviews, checks scope after every fix round, and can only complete on a clean review. It never commits; all changes stay in the working tree.
If the Workflow tool is unavailable or denied, stop and say so. Do not improvise the loop inline with direct edits — the ledger, scope guard, and escalation guarantees live in the workflow, and an inline imitation has none of them.
If the result is halted: "reviewer-unavailable", relay it and stop. The named
reviewer is not installed in this session; tell the user which plugin provides it and
re-run after installing. Do not review the target yourself.
Do not end your turn while the loop is running. The Workflow tool returns a task id immediately; the result comes later. In an interactive session the completion notification re-invokes you — wait for it. In a non-interactive run (scripted, CI, eval) there is no later turn: stopping abandons the loop mid-round, so after launching, poll the task (TaskOutput with the returned task id, or sleep-and-recheck) until it completes, then relay the result. A session that answers "the loop is running, I'll report later" has lost the run.
Relaying the result
The workflow returns a structured result. Report it honestly — the distinctions matter:
converged: true— the last action was a review with zero critical/major findings. Report rounds used, remaining minor findings (open_minor_count), and the artifact paths (ledger_path,metrics).capped: true— the fix budget ran out and the FINAL review still found blocking issues. Say plainly: capped, NOT converged, and listopen_blocking. Do not present this as success.escalation— the loop detected it was not converging (recurring findings, non-decreasing counts, or a fix relocating a problem). Relay the escalation message and finding ids to the user: this needs a design decision, not more rounds.halted— a guard fired (scope violation, unregistered new files, a dead or unavailable reviewer, or a finalize pass whose own edits failed the check that follows it). Relay the paths inviolations/new_untracked_files, the sites infinalize_regressions, and the notes.notesalways travel with the result — surface them; they include loud warnings such as "a git repository was initialized".
Continuing after an escalation
The loop stops on escalation by design. When the user decides, start a fresh run with
the same target and reviewer plus:
{ "decision": "<the user's ruling, verbatim>" }
The new run reloads the on-disk ledger, so every finding, rejection, and verdict carries over — rounds restart, re-derivation does not.
To stop a running loop, stop the workflow task (TaskStop); the ledger on disk is current to the last round and a re-run resumes from it.
When NOT to use
- A Claude Code skill: use the
skill-improverentry — it wires the right reviewer - A branch / pull request: use the
pr-improverentry — it derives scope from the diff - One-time review: dispatch the reviewer directly; the loop's value is iteration
- Quick single fixes: edit the file directly
Archivos de esta skill
1Preguntas sobre la skill code-improver
¿Cómo instalo la skill code-improver en Claude Code?
Ejecuta npx degit trailofbits/skills/plugins/code-improver/skills/code-improver ~/.claude/skills/code-improver. Claude Code carga las skills desde ~/.claude/skills (todos los proyectos) o .claude/skills (un proyecto) y usa una skill cuando su descripción coincide con la tarea.
¿Qué clientes pueden usar la skill code-improver?
Cualquier cliente que lea el formato Agent Skills: Claude Code, Codex, Gemini CLI y claude.ai (subir como ZIP). Los scripts de la skill se ejecutan solo donde el cliente permite la ejecución de código.
¿Qué sucede si el bucle de mejora deja de progresar?
El sistema activa una escalación si detecta que el bucle no converge, como en el caso de hallazgos recurrentes o un número de problemas que no disminuye, lo que requerirá una decisión de diseño por parte del usuario.
¿La herramienta realiza commits automáticos en mi repositorio?
No, el flujo de trabajo nunca realiza commits; todos los cambios realizados durante el bucle de mejora permanecen en el working tree.