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
Profil de l’actif
Recherche et travail de connaissance
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scénario
Agents de recherche
I need my agent to research a topic, compare sources, and produce a concise report.
Adéquation Agent
Claude Code + CLI + Codex
Compatible avec Codex, Claude Code, Cursor, CLI ou des Agents personnalisés.
Installer
Prêt
npx skills add sero-labs/sero --skill sero-humanize
Maintenance
À jour
2 jours depuis le dernier push
Risque
Revue nécessaire
Permission surface may require sandboxing
Qualité GitHub
19
60/100 Qualité · 67/100 Confiance
Tags de couverture
Notes de revue
Permission surface may require sandboxing · SKILL.md excerpt is truncated in the provided documentation, but the visible portion is thorough and well-structured.
Carte d’adoption Agent
Confiance, audit et préparation à l’installation en un coup d’œil
Ces scores combinent les métadonnées publiques du dépôt, les signaux de revue OpenAgentSkill, la fraîcheur de maintenance et la préparation à l’installation. Ils servent à présélectionner et ne remplacent pas la revue humaine.
Qualité
PrometteurUseful candidate, but compare it with alternatives before adopting.
Confiance
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Revue nécessaireRevue lisible par machine de la préparation à l’installation, des métadonnées de sécurité, de la maintenance et du risque d’adoption.
Trust Score OpenAgentSkill v5
Revue humaine avant installation
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
19 stars GitHub
Activité du dépôt
19 stars et 1 forks
Maintenance
2 jours depuis le dernier push
Licence
Apache-2.0
Installer
npx skills add sero-labs/sero --skill sero-humanize
Sécurité d’installation
Chemin d’installation standard de package ou runtime
Surface de permissions
secrets or environment access, shell or command execution
Résultats Agent
Pas encore de données de résultats Agent
Documentation
Contexte README/SKILL.md solide
Résumé des risques
Revoir avant production
- 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
Préparation à l’installation
Chemin d’installation disponible
- Le chemin d’installation est disponible
- La preuve du dépôt est disponible
- La licence est déclarée
- Pas encore de preuve de résultat Agent-Proven
Métadonnées lisibles par Agent
Données de décision lisibles par machine pour ce skill.
Utilisez ce bloc ou le JSON intégré pour décider si un Agent doit installer ce skill, choisir une alternative ou demander d’abord une revue humaine.
Tâches adaptées
- workflows GitHub automation
- Équipes Claude Code
- builders willing to evaluate younger projects
- Inspect repository metadata
Agents adaptés
Décision d’installation
- Commande
- npx skills add sero-labs/sero --skill sero-humanize
- Politique
- Bloquer
- Revue humaine
- Oui
Confiance et risque
- Confiance
- 59/100
- Audit
- 74/100
- Niveau de risque
- Revue nécessaire
Boucle de résultat
- Endpoint
- /api/agent/outcome
- ID d’événement
- resolve
- Résultats
- 5
Commande d’installation
npx skills add sero-labs/sero --skill sero-humanizeNe pas utiliser quand
- Équipes qui nécessitent un SLA soutenu par le fournisseur
- 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.
- Indices de permissions à haut risque : Shell or command execution, Secrets or environment access
Sécurité Agent v2
34/100 · Éviter l’installation automatique
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.
Élevé
Exécution shell ou de commande
Les métadonnées de la skill font référence à des workflows de terminal, CLI, shell, sous-processus ou exécution de commande.
Moyen
Accès réseau
La skill récupère probablement des pages distantes, API, dépôts ou services externes.
Moyen
Accès au système de fichiers
La skill peut lire ou écrire des fichiers de projet, documents, artefacts générés ou l’état local de l’espace de travail.
Élevé
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- Indices de permissions à haut risque : Shell or command execution, Secrets or environment access
- Permission surface may require sandboxing
Cibles d’installation
Installer ce skill dans votre workflow Agent
Utilisez le point de terminaison public pour récupérer la commande, la checklist, les prompts et les liens canoniques.
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 résolution Agent
Laissez un Agent vérifier la pertinence avant l’installation.
L’API Resolve renvoie la skill sélectionnée, des alternatives, la politique de sécurité, les notes d’audit, la cible d’installation et un prompt prêt à l’emploi.
Ouvrir JSON
/api/agent/resolve?task=Use%20sero-humanize%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texte Resolve
/api/agent/resolve?task=Use%20sero-humanize%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Relais d’installation
/api/skills/sero-labs-sero-humanize/install
L’Agent doit vérifier
- 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.
Copier le 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.Relais Agent
Donnez à l’Agent le chemin d’installation, pas un autre annuaire.
Utilisez le point de terminaison public pour récupérer la commande, la checklist, les prompts et les liens canoniques.
Relais d’installation
/api/skills/sero-labs-sero-humanize/install
Format texte LLM
/api/skills/sero-labs-sero-humanize/install?format=text
Trouver des alternatives
/api/skills/search?q=sero-humanize&limit=3
Prompt 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-humanizeMétadonnées Registry
Profil lisible par Agent pour la sélection automatique de skills.
L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.
Manifest
/api/registry/manifest/sero-labs-sero-humanize
Texte LLM
/api/registry/manifest/sero-labs-sero-humanize?format=text
Alias d’installation
/api/registry/install/sero-labs-sero-humanize
Recommander
/api/registry/recommend?task=Use%20sero-humanize%20in%20an%20agent%20workflow&limit=3
Adéquation Agent
GitHub automation
Tags de cas d’usage
Plateformes
Claude Code
Rapport d’audit
Revue nécessaire · 74/100
Revue lisible par machine de la préparation à l’installation, des métadonnées de sécurité, de la maintenance et du risque d’adoption.
Panneau de décision Agent
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Rôle dans la pile
Candidate de secours
Pertinence principale
GitHub automation
Libellé de confiance
Prototyper d’abord
Chemin d’installation
Commande prête
À utiliser lorsque
- workflows GitHub automation
- Équipes Claude Code
- builders willing to evaluate younger projects
Preuves
- recent repository activity
- install command or GitHub repo available
- profil qualité 60/100
- 6 événements OpenAgentSkill
revoir d’abord
- Low GitHub adoption signal
- SKILL.md excerpt is truncated in the provided documentation, but the visible portion is thorough and well-structured.
Chemin d’implémentation
- 1Installez-le dans un Agent en sandbox et exécutez une tâche de GitHub automation de bout en bout.
- 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.
Profil de confiance
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Adoption GitHub
Corriger19 stars GitHub
Activité stars/forks
Corriger19 stars et 1 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé2 jours depuis le dernier push
Clarté de licence
ValidéApache-2.0
Signaux positifs
- Revue IA approuvée
- Le chemin d’installation est disponible
- La preuve du dépôt est disponible
- Dépôt maintenu récemment
- La commande d’installation ne présente aucun motif de haut risque évident
- La boucle de résultats est prête mais nécessite la première exécution réelle de l’Agent
Réviser avant installation
- 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
- Pas encore de rapports de résultats Agent réels
- Une revue humaine est requise avant une installation sans surveillance
Action recommandée
Choose a stronger alternative or inspect the source manually before any install attempt.
Profil qualité
Prometteur candidat pour les workflows Agent
Useful candidate, but compare it with alternatives before adopting.
Adéquation au workflow
Utilisez cette skill dans ces scénarios
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.
Adéquation au workflow
Ajouter à un workflow complet
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.
Liste d’alternatives
Comparer avant installation
Similar skills that may fit this task.
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Vue d’ensemble
--- 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
Détails techniques
- Version
- 1.0.0
- Licence
- Apache-2.0
- Dernière mise à jour
- 19 août 2026
- Publié
- 19 août 2026
Instantané de décision
Candidate de secours
recent repository activity
Audit
Revue d’installation
Revue d’installation et d’adoption
- Sécurité
- 74/100
- Maintenance
- 100/100
- Installer
- 92/100
Preuves validées par Agent
Preuves validées par Agent
Rapports après resolve, revue, installation et une exécution limitée.
- Taux de réussite
- —
- Échec récent
- —
- Résultats
- 0
- Qualité de sortie
- —
- Échecs
- 0
- Non pertinent
- 0
- Installations
- 0
- Bloqué par le risque
- 0
- Configuration requise
- 0
- Production
- 0
Aucune donnée de résultat Agent pour l’instant. La première exécution peut signaler succès, besoin de configuration, blocage de risque, échec ou non-pertinence via /api/agent/outcome.
Installer
Ajouter au workflow Agent
Gratuit et open source. Examinez le rapport avant l’installation dans des Agents de production.
Boucle de croissance
Kit de partage
Brouillon guidé par scénario pour sero-humanize, prêt pour une publication manuelle sur 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
Réponse facultative avec commande d’installation
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
Source de la fiche
Indexé par Registry
Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.
- Créateur
- sero-labs
- Source
- sero-labs/sero
- Indexé par
- Index communautaire OpenAgentSkill
L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.
Revendiquer ce skillRevendication du propriétaire
Revendiquer cette fiche de skill
Cette fiche Indexé par Registry est attribuée à sero-labs, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.
Kit de backlinks créateur
Ajoutez les badges de preuve à votre README
Affichez la fiche canonique, les signaux actuels de confiance et d’audit, ainsi que de vraies preuves Agent-Proven là où les développeurs évaluent le dépôt.
[](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)Auteur
sero-labs
@sero-labs
Tags
Adéquation plateforme
Signaux de santé
- Stars GitHub
- 19
- Score de qualité
- 33/100
- Dernier push GitHub
- 19 août 2026
- Indications de framework
- Inconnu
- Vues OpenAgentSkill
- 6
- Copies d’installation
- 0
- Clics sortants
- 0
Signal de communauté
Indiquez si ce skill semble utile à votre workflow Agent. Les retours agrégés améliorent le classement au fil du temps.
Confiance et sécurité
Do not auto-install
- Adoption GitHub19 stars GitHubCorriger
- Activité stars/forks19 stars et 1 forks; l’activité des issues n’est pas disponible dans les métadonnées actuellesCorriger
- Maintenance récente2 jours depuis le dernier pushValidé
- Clarté de licenceApache-2.0Validé
- Complétude README/SKILL.mdLes métadonnées incluent suffisamment de contexte d’usage et de workflowValidé
- Risque dépendances/runtimeAccès aux identifiants ou variables d’environnementInfo
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