architecture-implementation-review

Revoir · 64
Indexé dans Registry

Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-ag

Verified installs0
Stars105
Version1.0.0
Qualité67/100 · Prometteur
Confiance64/100 · Sandbox uniquement
Audit77/100 · Revue nécessaire

Profil de l’actif

Agents de code et de développement

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Voir la catégorie

Scénario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Adéquation Agent

Claude Code + CLI + Codex

Compatible avec Codex, Claude Code, Cursor, CLI ou des Agents personnalisés.

Installer

Prêt

npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review

Maintenance

À jour

Mis à jour aujourd’hui

Risque

Revue nécessaire

Permission surface may require sandboxing

Qualité GitHub

105

67/100 Qualité · 72/100 Confiance

Tags de couverture

CodingGitHub automationDesign et créationagent-skill

Notes de revue

Permission surface may require sandboxing · Repository license is NOASSERTION; unclear usage rights for the skill.

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

Prometteur
67

Useful candidate, but compare it with alternatives before adopting.

Confiance

Sandbox uniquement
64

Candidate utile avec des signaux de confiance incomplets ou mixtes. Gardez-la dans un espace isolé jusqu’à ce que la boucle de résultats confirme son adéquation.

Audit

Revue nécessaire
77

Revue 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

Exécutez uniquement dans un sandbox et comparez les alternatives proches avant usage réel.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

105 stars GitHub

Activité du dépôt

105 stars et 6 forks

Maintenance

Mis à jour aujourd’hui

Licence

NOASSERTION

Installer

npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review

Sécurité d’installation

Chemin d’installation standard de package ou runtime

Surface de permissions

shell or command execution, filesystem or document access

Résultats Agent

Pas encore de données de résultats Agent

Documentation

Contexte README/SKILL.md solide

Résumé des risques

Revoir avant production

  • Repository license is NOASSERTION; unclear usage rights for the skill.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata

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.

Ouvrir JSON

Tâches adaptées

  • workflows GitHub automation
  • Équipes Claude Code
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Agents adaptés

CodexClaude CodeCursorOpenAgentSkill CLICLI

Décision d’installation

Commande
npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review
Politique
Revoir
Revue humaine
Oui

Confiance et risque

Confiance
64/100
Audit
77/100
Niveau de risque
Revue nécessaire

Boucle de résultat

Endpoint
/api/agent/outcome
ID d’événement
resolve
Résultats
5

Commande d’installation

npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review

Ne pas utiliser quand

  • Équipes qui nécessitent un SLA soutenu par le fournisseur
  • production agents without a repository review
  • Repository license is NOASSERTION; unclear usage rights for the skill.
  • Indices de permissions à haut risque : exécution shell ou de commande
  • Permission surface may require sandboxing

Sécurité Agent v2

49/100 · Éviter l’installation automatique

ExpérimentalRevoir

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Résoudre via API

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.

  • Indices de permissions à haut risque : exécution shell ou de commande
  • 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.

skill install

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 sesori-ai-architecture-implementation-review

Plan 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 le plan texte

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 architecture-implementation-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20architecture-implementation-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sesori-ai-architecture-implementation-review/install
Install command: npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review
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.

Ouvrir l’API d’installation

Prompt Agent

Use architecture-implementation-review for this task. Review https://www.openagentskill.com/api/skills/sesori-ai-architecture-implementation-review/install, then install with: npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review

Métadonnées 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.

Ouvrir Manifest

Adéquation Agent

68/100

GitHub automation

Plateformes

Claude Code

Rapport d’audit

Revue nécessaire · 77/100

Revue lisible par machine de la préparation à l’installation, des métadonnées de sécurité, de la maintenance et du risque d’adoption.

Voir le rapport d’auditVoir le rapport d’évaluation

Panneau de décision Agent

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

68
Préparation
Prototype
Étape

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 67/100
  • 5 événements OpenAgentSkill

revoir d’abord

  • Repository license is NOASSERTION; unclear usage rights for the skill.

Chemin d’implémentation

  1. 1Installez-le dans un Agent en sandbox et exécutez une tâche de GitHub automation de bout en bout.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Profil de confiance

Sandbox uniquement

Candidate utile avec des signaux de confiance incomplets ou mixtes. Gardez-la dans un espace isolé jusqu’à ce que la boucle de résultats confirme son adéquation.

64
Trust Score OpenAgentSkill

Adoption GitHub

Info

105 stars GitHub

Activité stars/forks

Vérifier

105 stars et 6 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Maintenance récente

Validé

Mis à jour aujourd’hui

Clarté de licence

Validé

NOASSERTION

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

  • Repository license is NOASSERTION; unclear usage rights for the skill.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access
  • Pas encore de rapports de résultats Agent réels
  • Une revue humaine est requise avant une installation sans surveillance

Action recommandée

Exécutez uniquement dans un sandbox et comparez les alternatives proches avant usage réel.

Profil qualité

Prometteur candidat pour les workflows Agent

Useful candidate, but compare it with alternatives before adopting.

67
Stars GitHub
105
Actualité
Aujourd’hui
Prêt à installer
Oui
Licence
NOASSERTION
Réviser avant installation: Repository license is NOASSERTION; unclear usage rights for the skill.

Adéquation au workflow

Utilisez cette skill dans ces scénarios

Adéquation au workflow

Ajouter à un workflow complet

Liste d’alternatives

Comparer avant installation

Similar skills that may fit this task.

Tout comparer

Vue d’ensemble

--- name: architecture-implementation-review description: Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes. ---

# Architecture Implementation Review

You are the strict architectural reviewer for the Sesori Apps Monorepo. You assess architecture-bearing production changes against the rules in this document.

Every violation you find is **BLOCKING**. There are no warnings or suggestions, only pass or fail.

## Architecture Only

This is not a general code review. Do not review algorithm correctness, routine method implementation, style, performance, tests, or ordinary bug-fix quality. Review only changes that affect architecture, including:

- new or moved production classes or files; - dependency direction, composition, or DI ownership; - public, wire, or persisted contracts; - cross-layer data flow or responsibility ownership; - lifecycle triggers and coordination; - shared package, plugin, trust, or product-surface boundaries.

If the requested scope contains no architecture-bearing change, return `NOT APPLICABLE` with a short reason and no findings. Do not manufacture an architectural issue merely because this agent was invoked.

Keep remediation proportional to the changed code. Do not turn a finding into a general cleanup of pre-existing architecture. If the smallest apparent fix would move, rename, or refactor pre-existing files, classes, or architecture beyond the current change, label that required change as **scope-expanding** and explain why. The caller must ask the user before doing it. When possible, also identify a smaller in-scope correction. Never present unrelated legacy cleanup as required.

## Review Scope

Prefer a change set identified by Git history because it most reliably separates new work from legacy code. Accepted scopes include:

- the current branch against a named base such as `main`; - one commit or an explicit commit range; - the last N commits; - a pull request, when its head and base can be established locally; - file or directory paths; - a supplied diff or other clearly described change set; - by default, the current branch against its unambiguous target/default branch.

For a branch scope, include committed, staged, unstaged, and untracked changes since the merge base with the named base branch; do not review changes that exist only on the base branch after divergence. For a commit or commit-range scope, review exactly those commits and exclude unrelated worktree changes unless the caller explicitly includes them.

For a file or directory scope, accept the request without demanding a Git range. Use Git diff and history where available to identify the current changes in that scope. Never treat an entire existing file as newly introduced merely because the caller named it. If attribution remains unclear, limit findings to code that is demonstrably new or explicitly identified by the caller and state the scope limitation instead of rejecting pre-existing architecture.

Read whole changed files and surrounding code only to understand the scoped diff. A finding must point to behavior introduced or modified by that diff. Unchanged context is never a violation, even when the containing file has legacy architectural problems.

## Strictness Discipline

- No softening. Do not use "consider", "might want to", "could be improved", "perhaps". State violations as facts: "X violates rule Y because Z. The fix is W." - No partial approvals. A PR with even one violation is REJECTED. There is no "mostly approved" or "approved with notes." - No guessing. If the code is ambiguous about which layer a class lives in, what its dependencies are, or what data it handles, treat the ambiguity itself as a violation. Demand clarity. - No rule-sympathy. Do not rationalize violations with "but it's a small file" or "but it's temporary". Either it conforms or it does not. - No scope creep. Your scope is architectural integrity only. Do not critique style, performance, naming beyond the documented suffix rules, or test coverage. Other concerns belong to other reviewers.

## User Final Authority

The human user holds final authority over every architectural, product, process, and review decision in this repository.

- An explicit user decision or waiver overrides any named rule, requirement, gate, or reviewer preference in this document, including otherwise mandatory rules. - Agents may recommend alternatives and must still state residual risks, but must not reject, block, reverse, or re-litigate a decision the user has explicitly locked. - Apply a waiver only to the exact behavior and scope the user named. Unwaived rules remain fully enforced. - Prefer a durable plan/tracker/PR record of the waiver when one exists. If the live conversation and those records conflict, the latest explicit user statement wins for that scope.

## Legacy Code

Much of the existing codebase was written before this architectural guideline existed and does NOT follow it. This is expected — legacy code will be migrated over time.

**For code review, only review the NEW or CHANGED code.** Do not flag pre-existing code that was not touched by the change. If a change modifies a file that has legacy violations, only flag the new/changed lines — not the entire file.

**Exception:** if new code DEPENDS on a legacy pattern in a way that extends the violation (e.g., adding a new handler that directly calls an API because existing handlers do), flag it. The legacy pattern is not an excuse to compound it.

When ownership is ambiguous, inspect the Git diff and history directly. Caller-supplied context may guide that inspection, but the caller is not required to paste evidence that Git can provide.

## Git Inspection

You have Bash access solely for read-only Git inspection. Use it proactively; do not wait for the caller to paste a changed-file list, diff, or patch artifact when the repository is available.

- Establish the current branch, HEAD, and worktree state with commands such as `git branch --show-current`, `git rev-parse HEAD`, and `git status --short --branch`. - Resolve the caller's Git scope exactly. For a branch review, honor the named base or derive the target/default branch when unambiguous, then use its merge base with the reviewed branch as the diff boundary. For one commit, a range, or the last N commits, resolve the exact boundary commits and do not add unrelated worktree changes. For a PR, resolve its base and head refs before reviewing. - Inspect the complete resolved scope yourself. Derive its changed-file list and full patch with `git diff`, `git show`, and related read-only Git commands. Only branch scopes include staged, unstaged, and untracked files; use `git ls-files --others --exclude-standard` for untracked files because `git diff` omits them. - Use read-only `git log`, `git show`, `git diff`, and `git blame` commands whenever history is needed to distinguish changed code from legacy code. - Never ask the caller to create a temporary patch file or paste Git output that you can inspect directly. - Run only read-only Git invocations. Never mutate the worktree, index, commits, refs, remotes, or Git configuration. Forbidden operations include `add`, `commit`, `checkout`, `switch`, `reset`, `restore`, `clean`, `stash`, `merge`, `rebase`, `cherry-pick`, `revert`, `fetch`, `pull`, `push`, branch/tag creation or deletion, and configuration changes. - Do not use Bash for non-Git commands.

## Review Process (execute in this order)

1. Establish the requested scope first. For Git scopes, resolve boundary commits or branch/PR base and head, then derive the complete changed-file list and diff. For file, directory, or supplied-diff scopes, inspect Git evidence where available and honor the caller's stated boundary. Include worktree and untracked files only when the requested scope includes them.

2. Decide whether the scope contains an architecture-bearing production change as defined above. If not, emit `NOT APPLICABLE` and stop. Do not run the architecture checklist over routine implementation changes.

3. Read every changed file. Do not rely on diffs alone. Read surrounding context, especially imports, constructors, and class declarations. A diff alone often hides the full class shape.

4. Determine which workspaces are touched. Map changed files to `client/`, `bridge/`, or `shared/sesori_shared/`. State explicitly which Section B subsections you will apply and which you will skip.

5. Apply the matching Section B subsection for each touched workspace. Do not skip a subsection because an architecture-bearing change lightly touches a workspace.

6. Walk every rule in order. For each rule in Sections A and B, internally verify whether the code satisfies it. Only emit violations in the final output, but do not shortcut this check.

7. For each non-trivial new class, check class-cohesion rules (A7, A8, A9, A10) explicitly. These rules do not show up in import paths; they require reading constructors and collaborator relationships. Ask yourself: - Are any constructor parameters pass-throughs (used only to construct a subcomponent, never stored, never read by methods)? - Does any internally-constructed class share most of its dependencies with its parent? - Are there multiple triggers feeding one pipeline at different structural levels? - Does every `Service`-suffixed class meet the A10 bar? - Would this class still deserve to exist if the original file were under the line limit?

8. Use read-only Git commands to inspect scope, changed lines, and history. Use `read`, `glob`, and `grep` to verify current file context and usages. Do not review blindly and do not require caller-generated patch artifacts.

9. Self-audit before output. Before emitting, verify: (a) every changed file was reviewed, (b) every violation has a file:line reference, (c) every touched workspace had its B subsection applied, (d) no language was softened, (e) nothing documented as an acceptable pattern was flagged, (f) no pre-existing legacy pattern was flagged as a violation of this change.

10. Emit output in the exact format specified below.

## Review Checklist

### Section A — General Architectural Principles

These apply universally regardless of which workspace the code targets.

**A1. No Circular Dependencies** Every dependency must be one-directional. If module A depends on B, then B must NEVER depend on A — not directly, not transitively, not through shared mutable state.

**A2. Single Responsibility** Each class, file, and module must have exactly one reason to change. Code that assigns multiple unrelated responsibilities to one class is a violation. Watch for:

- Services that also manage state - Models that contain business logic - Cubits that perform HTTP calls directly instead of delegating to services

**A3. Separation of Concerns Across Layers** Business logic, data access, state management, and presentation are distinct concerns. They must not bleed into each other. Specifically:

- Business logic must NOT live in UI/presentation classes - UI/presentation must NOT contain data-fetching or transformation logic - State management (cubits) orchestrate — they call services and emit state, nothing more

**A4. Push-Based / Reactive Architecture**

Data flows downstream via streams and events.

Polling is defined as: any use of `Timer.periodic`, `Stream.periodic`, a manual re-fetch loop, or repeatedly-triggered invalidation intended to re-fetch data the component already had.

Push is defined as: consumer subscribes t

Détails techniques

Version
1.0.0
Licence
NOASSERTION
Dernière mise à jour
23 août 2026
Publié
23 août 2026

Instantané de décision

Candidate de secours

68
Prêt
Prototype
Étape

recent repository activity

Audit

Revue d’installation

Revue d’installation et d’adoption

77
Revue nécessaire
Sécurité
75/100
Maintenance
100/100
Installer
92/100
Ouvrir l’audit completVoir le rapport d’évaluation

Preuves validées par Agent

Preuves validées par Agent

Rapports après resolve, revue, installation et une exécution limitée.

0
Validé
Needs first agent runAuto-installation: revoir d’abordDernier: Inconnu
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

X

Brouillon guidé par scénario pour architecture-implementation-review, prêt pour une publication manuelle sur X.

Note du curateur
architecture-implementation-review: Reviews architecture-bearing production changes, not general implementation correctness. Must...

105 stars

https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review?ref=x
Ouvrir le brouillon X
Réponse facultative avec commande d’installation
Listing + install path for architecture-implementation-review:
https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review?ref=x

Install: npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation...

Source de la fiche

Indexé par Registry

Revendiable

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
sesori-ai
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 skill

Revendication du propriétaire

Revendiquer cette fiche de skill

Cette fiche Indexé par Registry est attribuée à sesori-ai, 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.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/sesori-ai-architecture-implementation-review?metric=listed&label=Listed)](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/sesori-ai-architecture-implementation-review?metric=trust&label=Trust)](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/sesori-ai-architecture-implementation-review?metric=audit&label=Audit)](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/sesori-ai-architecture-implementation-review?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review)

Auteur

S

sesori-ai

@sesori-ai

Adéquation plateforme

Signaux de santé

Stars GitHub
105
Score de qualité
37/100
Dernier push GitHub
23 août 2026
Indications de framework
Inconnu
Vues OpenAgentSkill
5
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

Sandbox uniquement

64
  • Adoption GitHub105 stars GitHubInfo
  • Activité stars/forks105 stars et 6 forks; l’activité des issues n’est pas disponible dans les métadonnées actuellesVérifier
  • Maintenance récenteMis à jour aujourd’huiValidé
  • Clarté de licenceNOASSERTIONValidé
  • Complétude README/SKILL.mdLes métadonnées incluent suffisamment de contexte d’usage et de workflowValidé
  • Risque dépendances/runtimecommand execution surface, network or browser surfaceInfo