sero-humanize
Audit or edit Sero Markdown documentation and other product prose to remove AI-writing patterns while preserving technical meaning, product terminology, links, examples, and the repository voice. Use when the user asks to humanize, de-slop, tighten, simplify, rewrite, or audit Se
Perfil del activo
Investigación y trabajo de conocimiento
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Escenario
Agents de investigación
I need my agent to research a topic, compare sources, and produce a concise report.
Afinidad con Agent
Claude Code + CLI + Codex
Funciona con Codex, Claude Code, Cursor, CLI o Agents personalizados.
Instalar
Listo
npx skills add sero-labs/sero --skill sero-humanize
Mantenimiento
Actual
4 días desde el último push
Riesgo
Requiere revisión
Permission surface may require sandboxing
Calidad de GitHub
19
60/100 Calidad · 67/100 Confianza
Etiquetas de cobertura
Notas de revisión
Permission surface may require sandboxing · SKILL.md excerpt is truncated in the provided documentation, but the visible portion is thorough and well-structured.
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
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
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
Choose a stronger alternative or inspect the source manually before any install attempt.
Estrellas
19 estrellas de GitHub
Actividad del repositorio
19 estrellas y 1 forks
Mantenimiento
4 días desde el último push
Licencia
Apache-2.0
Instalar
npx skills add sero-labs/sero --skill sero-humanize
Seguridad de instalación
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
secrets or environment access, shell or command execution
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
- SKILL.md excerpt is truncated in the provided documentation, but the visible portion is thorough and well-structured.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
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 sero-labs/sero --skill sero-humanize
- Política
- Bloquear
- Revisión humana
- Sí
Confianza y riesgo
- Confianza
- 59/100
- Auditoría
- 74/100
- Nivel de riesgo
- Requiere revisión
Ciclo de resultados
- Endpoint
- /api/agent/outcome
- ID del evento
- resolve
- Resultados
- 5
Comando de instalación
npx skills add sero-labs/sero --skill sero-humanizeNo usar cuando
- Equipos que necesitan un SLA con soporte del proveedor
- production agents without a repository review
- Low GitHub adoption signal
- SKILL.md excerpt is truncated in the provided documentation, but the visible portion is thorough and well-structured.
- Indicios de permisos de alto riesgo: Shell or command execution, Secrets or environment access
Seguridad de Agent v2
34/100 · Evitar instalación automática
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
Alto
Ejecución de shell o comandos
Los metadatos del skill hacen referencia a terminal, CLI, shell, subprocesos o flujos de ejecución de comandos.
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.
Alto
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- Indicios de permisos de alto riesgo: Shell or command execution, Secrets or environment access
- 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 sero-labs-sero-humanizePlan 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%20sero-humanize%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texto de Resolve
/api/agent/resolve?task=Use%20sero-humanize%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Traspaso de instalación
/api/skills/sero-labs-sero-humanize/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 sero-humanize in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20sero-humanize%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sero-labs-sero-humanize/install
Install command: npx skills add sero-labs/sero --skill sero-humanize
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/sero-labs-sero-humanize/install
Formato de texto LLM
/api/skills/sero-labs-sero-humanize/install?format=text
Buscar alternativas
/api/skills/search?q=sero-humanize&limit=3
Prompt de Agent
Use sero-humanize for this task. Review https://www.openagentskill.com/api/skills/sero-labs-sero-humanize/install, then install with: npx skills add sero-labs/sero --skill sero-humanizeMetadatos 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/sero-labs-sero-humanize
Texto LLM
/api/registry/manifest/sero-labs-sero-humanize?format=text
Alias de instalación
/api/registry/install/sero-labs-sero-humanize
Recomendar
/api/registry/recommend?task=Use%20sero-humanize%20in%20an%20agent%20workflow&limit=3
Afinidad con Agent
GitHub automation
Etiquetas de uso
Plataformas
Claude Code
Informe de auditoría
Requiere revisión · 74/100
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
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Rol en la pila
Candidata de respaldo
Ajuste principal
GitHub automation
Etiqueta de confianza
Prototipar primero
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 60/100
- 6 eventos de interacción de OpenAgentSkill
revisar primero
- Low GitHub adoption signal
- SKILL.md excerpt is truncated in the provided documentation, but the visible portion is thorough and well-structured.
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
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Adopción en GitHub
Corregir19 estrellas de GitHub
Actividad de stars/forks
Corregir19 estrellas y 1 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado4 días desde el último push
Claridad de licencia
AprobadoApache-2.0
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
- SKILL.md excerpt is truncated in the provided documentation, but the visible portion is thorough and well-structured.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 19 GitHub stars
- Stars/forks activity: 19 stars, 1 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, shell or command execution
- Aún no hay informes reales de resultados del Agent
- Se requiere revisión humana antes de una instalación desatendida
Acción recomendada
Choose a stronger alternative or inspect the source manually before any install attempt.
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.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Process rich media
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Ajuste de flujo
Añadir a un flujo completo
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
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.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Lista de alternativas
Compara antes de instalar
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Resumen
--- name: sero-humanize description: | Audit or edit Sero Markdown documentation and other product prose to remove AI-writing patterns while preserving technical meaning, product terminology, links, examples, and the repository voice. Use when the user asks to humanize, de-slop, tighten, simplify, rewrite, or audit Sero documentation, README text, UI copy, release notes, plans, or specifications for AI tells. Also use when prose needs ASD-STE100 Simplified Technical English. Do not use for code review or for creative and promotional writing. ---
# Sero Humanize
Make Sero prose direct, specific, and useful. Human writing in technical documentation does not need personality. It needs clear decisions, concrete facts, and respect for the reader's time.
## Follow the requested mode
- For an audit or review, report the material patterns and do not edit files. - For an edit, rewrite the named files in place. - For a new document, apply these rules while drafting it. - If the request does not specify a mode, infer it from the requested action. Do not turn a request to assess prose into permission to change it.
## Establish the voice and preservation set
Before editing:
1. Read every file in scope in full. 2. Read the nearest repository instructions that apply to those files. 3. Use adjacent, clearly human-edited Sero documentation as the voice sample when the named files do not establish a consistent voice. 4. Record what must not change: - technical meaning and product behaviour; - product names, canonical terms, and exact UI labels; - commands, code, file paths, numbers, limits, and factual claims; - the documentation type, useful narrative flow, and balance between prose, lists, tables, examples, and callouts; - frontmatter, anchors, link targets, image paths, and screenshot order; - the purpose and placement of each image, diagram, and other media asset; - quotations and user input examples, unless the user asks to edit them.
Identify the intended reader. Unless the page states otherwise, assume the reader knows neither Sero nor the feature. Do not assume that simpler grammar fixes an explanation that requires missing product knowledge.
Do not add a fact to make a sentence more vivid. Verify a doubtful claim from the repository or leave it unchanged and report the doubt.
## Audit structure before wording
Look for clusters and repeated patterns. Do not treat one punctuation mark or one common word as proof of AI writing.
Prioritize these defects:
- Meta narration that announces the next explanation instead of giving it. - Repeated tutorial staging such as "what you are about to learn" and "what you have learned." - Fixed enumerations such as "three things are worth noticing" when a direct heading or short list is clearer. - Several paragraphs that can change order without changing the argument. - A heading followed by a sentence that only repeats the heading. - A conclusion that repeats the introduction without adding an action or fact. - Repeated summaries of the same screen, process, or result. - Forced contrasts such as "not only X, but Y" or "not X; rather Y." - Groups of three used for rhythm instead of meaning. - Mechanical bold lead-ins, excessive inline bold, or lists that should be short prose. - Promotional adjectives, vague importance claims, and unsupported praise. - Vague actors, passive constructions, filler, stacked hedges, and abstract nouns where an action is available. - Synonym cycling for one product concept. Repeat the canonical term. - Long sentences that mix instructions, exceptions, and background. - Em dashes used repeatedly to join thoughts that need separate sentences. - Headings that narrate the demo or expose implementation language instead of naming the reader's task, such as "The finish" or "Answer the gate." - Examples that depend on an unexplained demo domain and therefore do not help the reader understand the feature. - Tutorials that start using the product before they give prerequisites, sample data, expected starting state, or required sign-ins. - Result sections that recite one captured run instead of telling the reader what to inspect and verify.
Keep useful structure. A list, summary, warning, question heading, or em dash is not a defect by itself.
Do not normalize a page or site to one format. Humanize the defective passages, not every paragraph. If a page already explains a concept well in prose, keep it as prose.
## Rewrite for Sero documentation
Apply ASD-STE100 Simplified Technical English where it fits the material:
- Put the action or answer first. - Use active voice when the actor matters. - Give one main instruction per sentence. - Put a condition before the action when the reader must know it first. - Prefer common, precise words over formal or promotional alternatives. - Use the same term for the same thing. - Keep paragraphs focused on one subject. - Keep necessary limits, cautions, and exceptions close to the action. - Use contractions only when the established local voice requires them. - Keep exact UI text in bold when the documentation uses bold for controls. - Keep code identifiers and paths in code formatting. - Retain a summary only when it helps the reader decide or act.
Use lists only when the content is naturally a sequence, set of choices, checklist, or compact reference. Do not:
- convert explanatory prose into bullet points only to make it shorter; - turn each sentence or paragraph into a list item; - replace transitions and reasoning with disconnected bullets; - use repeated lists where a short paragraph gives the reader necessary context; or - make several pages share the same mechanical list structure.
After the sentence pass, read the page as a whole. If lists now dominate a page that previously used useful prose, restore the prose. Clear technical writing needs connected explanation as well as scannable reference material.
For an overview page:
- Explain the feature in familiar words before using its product terms. - State what the user gives Sero, what Sero does, and what the user reviews. - When comparing features, give one plain decision rule. Use examples that a reader can understand without knowing the tutorial repository or a specialist software domain.
For a tutorial:
- Put setup before the first product action. Include required software, accounts, sign-ins, repository or sample-data setup, and a command or visible result that confirms the expected starting state. - Prefer a stable sample repository over instructions that ask an agent to generate approximate sample data. Verify the repository contents and commands before documenting them. - Use task-based headings such as "Review the plan," "Change the plan," and "Check the result." A heading must describe the full purpose of its section; do not narrow a general control to one example case. - End with checks the reader can perform. Do not use a captured run's cost, duration, names, or outcome as a substitute for verification instructions.
For feature language:
- Use the visible object name: icon, button, tab, question, or approval request. Do not call an icon a mark or expose internal terms such as gate, fan-out, or feedback route when plain behaviour is enough. - Keep exact UI labels unchanged, but explain them with common words. - Put high-value quality-of-life features where readers will find them. Give them enough space to explain when the control appears, how to use it, what it changes, and what remains under user control.
Compress or merge only the passages that contain a verified structural defect. Keep useful depth, examples, transitions, and paragraph structure. A shorter page is not automatically a better page.
Do not manufacture a human voice with:
- anecdotes, opinions, jokes, sensory details, or personal asides; - fragments, one-word sentences, or dramatic punch lines; - arbitrary sentence-length variation; - unusual synonyms chosen only to make wording less predictable; - metaphors that replace a precise technical explanation; - deliberate imperfections or tangents; - an invented AI probability or numerical slop score.
## Preserve Markdown and product accuracy
- Do not change fenced code, commands, URLs, link targets, image targets, or frontmatter unless the request requires it. - Do not rename a heading if another page links to its generated anchor without updating that link. - Do not change a UI label to improve prose. Rewrite the surrounding sentence. - Do not remove repetition that is required for independent reference sections. - Do not convert a walkthrough into reference documentation, or reference documentation into a narrative tutorial, without user approval. - Do not infer product behaviour from the prose alone when the edit changes a technical claim. Check the implementation or an authoritative reference. - Treat contradictions between prose, screenshots, capture metadata, sample repositories, and implementation as accuracy defects. Resolve them from the authoritative source instead of rewriting around them. - When a page title changes, update the sidebar, index, related-page labels, and in-scope links that display the old title.
## Preserve images and other media
Treat every existing image, diagram, video, and asset as preserved content. Humanizing prose does not authorize media removal or replacement.
- Do not delete an asset, remove its reference, change its order, or replace it unless the user explicitly approves that action. - Do not use "task value," brevity, a stale appearance, or a text explanation as automatic reasons to remove an image. - Do not bulk-delete assets during a prose revision. - If an image is stale, private, inaccurate, decorative, or duplicated, report the issue and propose one action: keep, recapture, move, or remove. Wait for approval before changing it. - If an image exposes a credential or other active secret, stop publication and report it immediately. Do not silently make a wider set of image changes. - When a replacement is approved, capture or obtain the replacement before removing the current asset. Preserve the route and layout while replacement work is pending. - Check non-doc consumers before changing an asset. README files, homepages, package pages, and other applications can import docs-site images directly.
A decision not to add a new screenshot is not permission to remove an existing screenshot.
## Control the size of the rewrite
For a large documentation set, work in reviewed vertical slices. Complete and review one representative page before applying the approach to the rest of a slice. Do not perform a site-wide structural rewrite from an audit summary.
Pause and ask for approval when the work would:
- change the dominant format of a page, such as prose to lists; - remove substantial explanation, examples, or media; - merge, tombstone, redirect, or delete a page; - change many pages through the same structural template; or - produce a much larger diff than the factual and prose defects require.
When several agents contribute, give them the same preservation set and require a central review of format balance and media changes before integration.
## Use a two-pass edit
### Pass 1: structure
Remove redundant framing, merge repeated explanations, order information by the reader's task, and keep prerequisites before dependent actions. Give prominent placement to features that materially improve repeated use; do not give every feature equal weight merely because the source page did.
Keep the smallest effective structural change. Do not rewrite a complete page when a heading, transition, or paragraph edit fixes the defect.
### Pass 2: sentences
Remove filler and AI mannerisms. Simplify grammar. Keep terminology and facts stable. Read the result as technical documentation, not as marketing copy.
Then compare the result with th
Detalles técnicos
- Versión
- 1.0.0
- Licencia
- Apache-2.0
- Última actualización
- 19 ago 2026
- Publicado
- 19 ago 2026
Resumen de decisión
Candidata de respaldo
recent repository activity
Auditoría
Revisión de instalación
Revisión de instalación y adopción
- Seguridad
- 74/100
- 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 sero-humanize, listo para publicar manualmente en X.
A practical pick for design or creative work: sero-humanize: Audit or edit Sero Markdown documentation and other product prose to remove AI-writing patterns while preserving technical... 19 stars https://www.openagentskill.com/skills/sero-labs-sero-humanize?ref=x
Respuesta opcional con comando de instalación
Listing + install path for sero-humanize: https://www.openagentskill.com/skills/sero-labs-sero-humanize?ref=x Install: npx skills add sero-labs/sero --skill sero-humanize
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
- sero-labs
- Fuente
- sero-labs/sero
- 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 sero-labs, 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/sero-labs-sero-humanize)
[](https://www.openagentskill.com/skills/sero-labs-sero-humanize)
[](https://www.openagentskill.com/skills/sero-labs-sero-humanize/audit)
[](https://www.openagentskill.com/skills/sero-labs-sero-humanize)Autor
sero-labs
@sero-labs
Etiquetas
Afinidad con plataforma
Señales de salud
- Estrellas de GitHub
- 19
- Puntuación de calidad
- 33/100
- Último push de GitHub
- 19 ago 2026
- Pistas del framework
- Desconocido
- Vistas de OpenAgentSkill
- 6
- 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
Do not auto-install
- Adopción en GitHub19 estrellas de GitHubCorregir
- Actividad de stars/forks19 estrellas y 1 forks; la actividad de issues no está disponible en los metadatos actualesCorregir
- Mantenimiento reciente4 días desde el último pushAprobado
- Claridad de licenciaApache-2.0Aprobado
- Completitud de README/SKILL.mdLos metadatos incluyen suficiente contexto de uso y flujo de trabajoAprobado
- Riesgo de dependencias/runtimeAcceso a credenciales o variables de entornoInfo
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