gza-code-review-interactive
Review changes on current branch and output a structured review. Optionally post to PR with --pr flag, or apply non-blocking follow-ups inline with --apply-followups.
Perfil del activo
Agents de programación y desarrollo
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Escenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Afinidad con Agent
Claude Code + CLI + Codex
Funciona con Codex, Claude Code, Cursor, CLI o Agents personalizados.
Instalar
Listo
npx skills add mhawthorne/gza --skill gza-code-review-interactive
Mantenimiento
Actual
Actualizado hoy
Riesgo
Requiere revisión
Permission surface may require sandboxing
Calidad de GitHub
11
57/100 Calidad · 68/100 Confianza
Etiquetas de cobertura
Notas de revisión
Permission surface may require sandboxing · The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
Tarjeta de adopción del Agent
Confianza, auditoría y preparación de instalación de un vistazo
Estas puntuaciones combinan metadatos públicos del repositorio, señales de revisión de OpenAgentSkill, actualidad de mantenimiento y preparación de instalación. Sirven para preseleccionar; no sustituyen la revisión humana.
Calidad
PrometedorUseful candidate, but compare it with alternatives before adopting.
Confianza
Solo sandboxCandidata útil con señales de confianza incompletas o mixtas. Manténgala en un espacio aislado hasta que el ciclo de resultados demuestre el ajuste.
Auditoría
Requiere revisiónRevisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.
Trust Score de OpenAgentSkill v5
Revisión humana antes de instalar
Ejecute solo en un sandbox y compare alternativas cercanas antes de usarla en trabajo real.
Estrellas
11 estrellas de GitHub
Actividad del repositorio
11 estrellas y 1 forks
Mantenimiento
Actualizado hoy
Licencia
MIT
Instalar
npx skills add mhawthorne/gza --skill gza-code-review-interactive
Seguridad de instalación
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
shell or command execution, filesystem or document access
Resultados del Agent
Aún no hay datos de resultados del Agent
Documentación
Contexto sólido de README/SKILL.md
Resumen de riesgo
Revisar antes de producción
- The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
Preparación de instalación
Ruta de instalación disponible
- La ruta de instalación está disponible
- La evidencia del repositorio está disponible
- La licencia está declarada
- Aún no hay evidencia de resultados Agent-Proven
Metadatos legibles por Agent
Datos de decisión legibles por máquina para este skill.
Usa este bloque o el JSON integrado para decidir si un Agent debe instalar este skill, elegir una alternativa o pedir revisión humana primero.
Tareas adecuadas
- flujos de GitHub automation
- Equipos de Claude Code
- builders willing to evaluate younger projects
- Inspect repository metadata
Agents adecuados
Decisión de instalación
- Comando
- npx skills add mhawthorne/gza --skill gza-code-review-interactive
- Política
- Revisar
- Revisión humana
- Sí
Confianza y riesgo
- Confianza
- 60/100
- Auditoría
- 73/100
- Nivel de riesgo
- Requiere revisión
Ciclo de resultados
- Endpoint
- /api/agent/outcome
- ID del evento
- resolve
- Resultados
- 5
Comando de instalación
npx skills add mhawthorne/gza --skill gza-code-review-interactiveNo usar cuando
- Equipos que necesitan un SLA con soporte del proveedor
- production agents without a repository review
- Low GitHub adoption signal
- The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
- Indicios de permisos de alto riesgo: ejecución de shell o comandos
Skill alternativo
Code Review
168.6K Estrellas
npx skills add mattpocock/skills --skill code-review
Skill alternativo
Grill With Docs
164.7K Estrellas
npx skills add mattpocock/skills --skill grill-with-docs
Skill alternativo
To Spec
164.7K Estrellas
npx skills add mattpocock/skills --skill to-spec
Skill alternativo
To Tickets
176.7K Estrellas
npx skills add mattpocock/skills --skill to-tickets
Seguridad de Agent v2
37/100 · Evitar instalación automática
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Alto
Ejecución de shell o comandos
Los metadatos del skill hacen referencia a terminal, CLI, shell, subprocesos o flujos de ejecución de comandos.
Medio
Browser automation
Skill may drive a browser or interact with web pages.
Medio
Acceso a red
El skill probablemente consulta páginas remotas, API, repositorios o servicios externos.
Medio
Acceso al sistema de archivos
El skill puede leer o escribir archivos de proyecto, documentos, artefactos generados o estado local.
- Indicios de permisos de alto riesgo: ejecución de shell o comandos
- Permission surface may require sandboxing
Destinos de instalación
Instala este skill en tu flujo de Agent
Usa el endpoint público para obtener el comando, la lista de seguridad, prompts y enlaces canónicos.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install mhawthorne-gza-code-review-interactivePlan de resolución de Agent
Deja que un Agent valide el ajuste antes de instalar.
La API Resolve devuelve la skill elegida, alternativas, política de seguridad, notas de auditoría, destino de instalación y un prompt listo para usar.
Abrir JSON
/api/agent/resolve?task=Use%20gza-code-review-interactive%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texto de Resolve
/api/agent/resolve?task=Use%20gza-code-review-interactive%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Traspaso de instalación
/api/skills/mhawthorne-gza-code-review-interactive/install
Agent debe revisar
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copiar prompt
Task: Use gza-code-review-interactive in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20gza-code-review-interactive%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mhawthorne-gza-code-review-interactive/install
Install command: npx skills add mhawthorne/gza --skill gza-code-review-interactive
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Traspaso de Agent
Da al Agent la ruta de instalación, no otro directorio.
Usa el endpoint público para obtener el comando, la lista de seguridad, prompts y enlaces canónicos.
Traspaso de instalación
/api/skills/mhawthorne-gza-code-review-interactive/install
Formato de texto LLM
/api/skills/mhawthorne-gza-code-review-interactive/install?format=text
Buscar alternativas
/api/skills/search?q=gza-code-review-interactive&limit=3
Prompt de Agent
Use gza-code-review-interactive for this task. Review https://www.openagentskill.com/api/skills/mhawthorne-gza-code-review-interactive/install, then install with: npx skills add mhawthorne/gza --skill gza-code-review-interactiveMetadatos del Registry
Perfil legible por Agent para seleccionar skills automáticamente.
La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.
Manifest
/api/registry/manifest/mhawthorne-gza-code-review-interactive
Texto LLM
/api/registry/manifest/mhawthorne-gza-code-review-interactive?format=text
Alias de instalación
/api/registry/install/mhawthorne-gza-code-review-interactive
Recomendar
/api/registry/recommend?task=Use%20gza-code-review-interactive%20in%20an%20agent%20workflow&limit=3
Afinidad con Agent
GitHub automation
Etiquetas de uso
Plataformas
Claude Code
Informe de auditoría
Requiere revisión · 73/100
Revisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.
Panel de decisión de Agent
Needs validation for GitHub automation
Do a manual repository review before adding this to an agent workflow.
Rol en la pila
Requiere validación
Ajuste principal
GitHub automation
Etiqueta de confianza
Requiere revisión manual
Ruta de instalación
Comando listo
Úsalo cuando
- flujos de GitHub automation
- Equipos de Claude Code
- builders willing to evaluate younger projects
Evidencia
- recent repository activity
- install command or GitHub repo available
- perfil de calidad 57/100
- 1 eventos de interacción de OpenAgentSkill
revisar primero
- Low GitHub adoption signal
- The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
Ruta de implementación
- 1Instálalo en un Agent de sandbox y ejecuta una tarea de GitHub automation de principio a fin.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Perfil de confianza
Solo sandbox
Candidata útil con señales de confianza incompletas o mixtas. Manténgala en un espacio aislado hasta que el ciclo de resultados demuestre el ajuste.
Adopción en GitHub
Corregir11 estrellas de GitHub
Actividad de stars/forks
Corregir11 estrellas y 1 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
AprobadoActualizado hoy
Claridad de licencia
AprobadoMIT
Señales positivas
- Revisión de IA aprobada
- La ruta de instalación está disponible
- La evidencia del repositorio está disponible
- Repositorio mantenido recientemente
- El comando de instalación no muestra un patrón de alto riesgo evidente
- El ciclo de resultados está listo, pero necesita la primera ejecución real de Agent
Revisar antes de instalar
- The skill reads AGENTS.md, REVIEW.md, and project docs as context for the review subagent without explicitly stating that these files should be treated as untrusted data. A malicious repo could inject instructions into these files to influence the subagent's behavior (prompt injection).
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 11 GitHub stars
- Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- Aún no hay informes reales de resultados del Agent
- Se requiere revisión humana antes de una instalación desatendida
Acción recomendada
Ejecute solo en un sandbox y compare alternativas cercanas antes de usarla en trabajo real.
Perfil de calidad
Prometedor candidato para flujos de Agent
Useful candidate, but compare it with alternatives before adopting.
Ajuste de flujo
Usa esta skill en estos escenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Ajuste de flujo
Añadir a un flujo completo
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Lista de alternativas
Compara antes de instalar
Similar skills that may fit this task.
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
To Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
Resumen
--- name: gza-code-review-interactive description: Review changes on current branch and output a structured review. Optionally post to PR with --pr flag, or apply non-blocking follow-ups inline with --apply-followups. allowed-tools: Bash(git:*), Bash(gh:*), Bash(uv run:*), Read, Edit, Write, Glob, Grep, Agent, AskUserQuestion version: 2.4.0 public: true ---
# Interactive Code Review
Review committed changes on the current feature branch and output a structured review.
Requires being on a non-main branch with commits ahead of main. If not, stop and tell the user: "Switch to a feature branch with commits to review. This skill reviews committed changes on feature branches (git diff main...HEAD)."
## Arguments
- `--pr` — Post the review as a PR comment (requires an existing PR on the branch) - `--apply-followups` — After the review, apply all non-blocking follow-ups inline without prompting. Has no effect if the verdict is `CHANGES_REQUESTED` (blockers exist) or if the review reports no follow-ups. Without this flag, the skill prompts the user interactively before applying. - No arguments — Just output the review locally, no PR interaction. If follow-ups exist, prompt the user once at the end (see Step 6).
## Process
### Step 1: Verify branch state
1. Check current branch: `git branch --show-current` - If on `main` or `master`, stop and tell the user to switch to a feature branch 2. Check for uncommitted changes: `git status --porcelain` - If there are uncommitted changes, warn the user but proceed with reviewing committed changes 3. Check if branch has commits ahead of main: `git log main..HEAD --oneline` - If no commits ahead, stop and tell the user there's nothing to review
### Step 2: Find PR (only if --pr flag is set)
1. Look up existing PR: `gh pr view --json number,url,title 2>/dev/null` 2. If no PR exists, stop and tell the user to create one first (do NOT create a PR automatically) 3. Capture the PR number and URL
### Step 3: Capture review context in the parent session
Capture canonical ask context before spawning the reviewer: - If the caller already provided a `## Review scope:` section, pass it through unchanged, along with any `## Original plan context (out of scope except for the review scope):` section. - Otherwise, if the caller already provided exactly one canonical ask section (`## Original plan:` or `## Original request:`), pass that section through unchanged. - Otherwise, try to resolve ask context from the branch's linked gza task chain (`uv run gza show <TASK_ID>` / `uv run gza log <TASK_ID>` is preferred once you identify the task for this branch). - If linked ask content exists but is unavailable on this machine, pass an explicit unavailable-content marker section (for example, `## Original plan:` followed by `(plan task <TASK_ID> exists but content unavailable on this machine - flag as blocker)`). - If no retrievable plan or request exists for this branch, pass no ask section and let the reviewer state: `No plan or request provided.`
Then capture the committed diff: - If the caller already provided diff context, use that as-is and do not reconstruct it. Otherwise, collect the committed branch diff once in the parent session: ```bash git diff main...HEAD ``` Pass this diff to the subagent as `## Implementation diff context`.
### Step 4: Run the review
Spawn a **general-purpose Agent** subagent to perform the review. Give it this prompt (include the captured diff context):
---
You are reviewing a pull request. Your job is to read the project review guidelines, examine the diff, and produce a structured review.
**Step 1**: Read `REVIEW.md` from the project root for review guidelines and criteria.
**Step 2**: Start with a repo-rules/learnings pass: compare the diff and behavior against AGENTS.md, REVIEW.md, project docs, and `.gza/learnings.md`; call out violations or regressions explicitly. Keep this review stack-agnostic. If project verification instructions are missing, state that explicitly in assumptions/risks.
**Step 3**: The provided diff is authoritative - do not use git commands to reconstruct, re-derive, or expand it. You may read unchanged source files when surrounding context is needed to judge correctness.
**Step 3.5**: When you need to verify behavior that isn't visible in the diff (e.g., whether a CLI command exists, how a called function works, what a referenced method does), use the Read, Grep, or Glob tools to check the current codebase. Do not guess or assume — verify.
**Step 3.7**: If `## Review scope:` is present, grade ask-adherence against that section only and use any original-plan-context section only for boundaries/contracts. Otherwise, review the diff against the provided canonical ask context (`## Original plan:` or `## Original request:`). If ask content is marked unavailable, call that out as a blocker. If neither ask section is provided, state `No plan or request provided.`
**Step 4**: Write a structured review with these sections:
```markdown ## Summary
<Provide 3-5 bullets summarizing the review> <Then answer this checklist with exactly 6 bullets in `Yes/No - ...` form and one short evidence clause each:> <- Did I check the diff against AGENTS.md and `.gza/learnings.md` and flag any violations/regressions?> <- Did I check for silent broad-exception fallbacks that mask errors while changing user/agent-visible state?> <- Did I check for misleading output (contradictory UI/prompt/context signals)?> <- Was a `## Review scope:` section provided, and if so did I grade ask-adherence against that scope while treating sibling slices as non-blocking unless they break an explicit contract? Otherwise, was an `## Original plan:` or `## Original request:` section provided, and did I verify ask-adherence against it while calling out intentional deviations? If neither was provided, did I state "No plan or request provided."?> <- Did I require targeted regression tests that match each failure mode (not generic "add tests")?> <- If config, CLI, or operator-facing behavior changed, did I verify docs/help/release-note impact?>
## Blockers
<Use ### B1, ### B2, ... for blockers. If none, write "None."> <Each blocker should include Evidence:, Open-state citation:, Impact:, Required fix:, Required tests:> <Class-of-issue enumeration: when one blocker is an instance of a repeated code-surface pattern (lookup table, classifier, dispatcher, schema/field mapping, multi-field validator, or parallel per-field/per-type handling), audit for analogous gaps before writing the blocker. The audit boundary is the affected file plus any other files in the same module (the same depth-3 path under `src/`) that were touched by the diff, plus any obvious same-module sibling of the affected file.> <Report all still-open gaps for that same class in one blocker, with every affected `path:line` or `path:start-end` citation included in `Open-state citation:` regardless of file, and a `Required fix:` that closes the whole class.> <Do not create one blocker per field, branch, case, table row, or file unless the required fixes are materially different.> <Do not expand the audit beyond the same module, and do not expand isolated one-off defects - this rule applies only after you have found a repeated-pattern blocker shape.> <Reserve BLOCKER for: correctness defects, behavior regressions, repository/rules violations, missing observability for user/agent-visible fallbacks, and misleading output/contradictory signals.> <Treat unexplained deviations from the provided review scope, plan, or request as BLOCKER.> <If `## Review scope:` is present, grade ask-adherence against that section only. Use any original plan context section only to understand boundaries and integration contracts.> <Do not raise blockers solely because deferred sibling slices from the original plan are not implemented; only raise blockers when in-scope work is missing/broken or the diff violates an explicit integration contract described in the review scope or plan context.> <Treat silent broad-exception fallbacks as BLOCKER when they can alter user/agent-visible state without clear warning/error surfacing.> <Treat misleading output (UI/prompt/context contradictions) as BLOCKER when it can cause incorrect operator or agent decisions.> <If config/CLI/operator-facing behavior changed, missing or incorrect docs/help/release-note updates are BLOCKER when they can mislead operators.> <Use FOLLOWUP for actionable low-risk debt that should be tracked but should not block merge.> <For each blocker, give a clear closure condition so an improve task can resolve all blockers in one pass.> <For class-of-issue blockers, the closure condition must cover every enumerated instance across all cited paths, not just the first example.> <Every BLOCKER must be falsifiable: `Evidence:` and `Open-state citation:` must show the current still-open state, and `Required fix:` must describe the concrete change needed to close it.> <Do not write a `BLOCKER` unless you can cite the current code or current diff proving the issue is still open.> <Prior review text, improve lineage, or task history are not sufficient evidence for a blocker.> <Improve-lineage context may justify a narrow current-source anti-regression check for repeated blocker shapes the latest improve was expected to close, but it is only a pointer to inspect the current code/diff. It is not independent blocker evidence and must not substitute for current proof on this diff.> <Review current code, diff, and scope only.> <Do not run or evaluate `verify_command`; verification is handled elsewhere.> <Do not create blockers because verification failed, timed out, was skipped, or was unavailable.> <If code has a test-quality issue, cite the concrete code/test issue directly rather than runner verify status.> <Severity shorthand: `BLOCKER` means merge-blocking; `FOLLOWUP` means non-gating but task-worthy; `NIT` is omitted from canonical output.> <Do not add a per-finding `Severity:` line; the `## Blockers` and `## Follow-Ups` sections are the severity field.> <Derive the final verdict from the findings:> <cannot classify safely -> `NEEDS_DISCUSSION`> <Borderline cases must include a one-sentence rubric justification in `Impact:`, `Required fix:`, or `Recommended follow-up:`> <A broad exception that can mask visible state or swallow a user/agent-visible failure is a `BLOCKER`.> <An adjacent-path coverage sweep that would strengthen confidence without proving the current slice unsafe is a `FOLLOWUP`.> <Open-state citation must contain one or more current-source references in `path:line` or `path:start-end` form; backticked citations and comma-separated multiple citations are allowed.>
## Follow-Ups
<Use ### F1, ### F2, ... for non-blocking actionable follow-ups. If none, write "None."> <Each follow-up should include Evidence:, Impact:, Recommended follow-up:, Recommended tests:> <Do not include NIT findings in canonical output.>
## Questions / Assumptions
<Bullet list of open questions/assumptions. If none, write "None.">
## Verdict
<Brief justification> <Verdict is derived from the findings: no blockers/no follow-ups -> APPROVED; no blockers/at least one follow-up -> APPROVED_WITH_FOLLOWUPS; any blocker -> CHANGES_REQUESTED; cannot classify safely -> NEEDS_DISCUSSION.> Verdict: APPROVED|APPROVED_WITH_FOLLOWUPS|CHANGES_REQUESTED|NEEDS_DISCUSSION ```
Do not rename, omit, or reorder these sections.
If a PR number is provided, post the review as a PR comment: ```bash gh pr comment <PR_NUMBER> --body "<review content>" ```
Use a heredoc for the body to handle multi-line content properly.
If no PR number is provided, just output the review directly.
---
Pass the authoritative diff context (`## Implementation diff context`), the `## Review scope:` section when available, otherwise the canonical ask context section (exactly one of `## Original plan:` or `## Original request:` when available), and the PR number (if `--pr` was used and a
Detalles técnicos
- Versión
- 2.4.0
- Licencia
- MIT
- Última actualización
- 21 ago 2026
- Publicado
- 21 ago 2026
Resumen de decisión
Requiere validación
recent repository activity
Auditoría
Revisión de instalación
Revisión de instalación y adopción
- Seguridad
- 75/100
- Mantenimiento
- 100/100
- Instalar
- 92/100
Evidencia probada por Agent
Evidencia probada por Agent
Informes de resultados tras resolver, revisar, instalar y una ejecución limitada.
- Tasa de éxito
- —
- Fallo reciente
- —
- Resultados
- 0
- Calidad de salida
- —
- Fallidos
- 0
- No relevante
- 0
- Instalaciones
- 0
- Bloqueado por riesgo
- 0
- Configuración necesaria
- 0
- Producción
- 0
Aún no hay datos de resultados de Agent. La primera ejecución puede informar éxito, configuración necesaria, bloqueos de riesgo, fallo o irrelevancia mediante /api/agent/outcome.
Instalar
Añadir al flujo de Agent
Gratis y de código abierto. Revisa el informe antes de instalar en Agents de producción.
Bucle de crecimiento
Kit para compartir
Borrador basado en un caso para gza-code-review-interactive, listo para publicar manualmente en X.
gza-code-review-interactive: Review changes on current branch and output a structured review. Optionally post to PR with -... 11 stars https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive?ref=x
Respuesta opcional con comando de instalación
Listing + install path for gza-code-review-interactive: https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive?ref=x Install: npx skills add mhawthorne/gza --skill gza-code-review-interactive
Fuente de la ficha
Indexado por Registry
Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.
- Creador
- mhawthorne
- Fuente
- mhawthorne/gza
- Indexado por
- Índice comunitario de OpenAgentSkill
La atribución enlaza al repositorio público o al perfil del creador. Los creadores pueden reclamar la ficha para actualizar las señales de propiedad.
Reclamar este skillReclamación del propietario
Reclamar esta ficha de skill
Esta ficha Indexado por Registry se atribuye a mhawthorne, pero aún no está marcada como oficial. Reclámala para añadir una señal de propietario verificado y hacer más fiables futuras actualizaciones de lanzamiento, instalación y auditoría.
Kit de enlaces para creadores
Añade las insignias de evidencia a tu README
Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive/audit)
[](https://www.openagentskill.com/skills/mhawthorne-gza-code-review-interactive)Autor
mhawthorne
@mhawthorne
Etiquetas
Afinidad con plataforma
Señales de salud
- Estrellas de GitHub
- 11
- Puntuación de calidad
- 31/100
- Último push de GitHub
- 21 ago 2026
- Pistas del framework
- Desconocido
- Vistas de OpenAgentSkill
- 1
- Copias de instalación
- 0
- Clics externos
- 0
Señal de comunidad
Comparte si este skill resulta útil para tu flujo de Agent. Los comentarios agregados mejoran la clasificación con el tiempo.
Confianza y seguridad
Solo sandbox
- Adopción en GitHub11 estrellas de GitHubCorregir
- Actividad de stars/forks11 estrellas y 1 forks; la actividad de issues no está disponible en los metadatos actualesCorregir
- Mantenimiento recienteActualizado hoyAprobado
- Claridad de licenciaMITAprobado
- Completitud de README/SKILL.mdLos metadatos incluyen suficiente contexto de uso y flujo de trabajoAprobado
- Riesgo de dependencias/runtimeSuperficie de ejecución de comandosInfo
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