architecture-implementation-review

Prüfen · 64
Im Registry indexiert

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
Qualität67/100 · Vielversprechend
Vertrauen64/100 · Nur Sandbox
Audit77/100 · Prüfung nötig

Asset-Profil

Coding- und Entwickler-Agents

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

Bereich ansehen

Szenario

GitHub automation

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

Agent-Fit

Claude Code + CLI + Codex

Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.

Installieren

Bereit

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

Wartung

Aktuell

Heute gepusht

Risiko

Prüfung nötig

Permission surface may require sandboxing

GitHub-Qualität

105

67/100 Qualität · 72/100 Vertrauen

Abdeckungs-Tags

CodingGitHub automationDesign und Kreativitätagent-skill

Review-Notizen

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

Agent-Adoptionskarte

Vertrauen, Audit und Installationsbereitschaft auf einen Blick

Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.

Qualität

Vielversprechend
67

Useful candidate, but compare it with alternatives before adopting.

Vertrauen

Nur Sandbox
64

Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.

Audit

Prüfung nötig
77

Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.

OpenAgentSkill Trust Score v5

Menschliche Prüfung vor Installation

Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

105 GitHub-Stars

Repository-Aktivität

105 Stars und 6 Forks

Wartung

Heute gepusht

Lizenz

NOASSERTION

Installieren

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

Installationssicherheit

Standard-Paket- oder Laufzeit-Installationspfad

Berechtigungsfläche

shell or command execution, filesystem or document access

Agent-Ergebnisse

Noch keine Agent-Ergebnisdaten

Dokumentation

Starker README/SKILL.md-Kontext

Risikoübersicht

Vor Produktion prüfen

  • 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

Installationsbereitschaft

Installationspfad verfügbar

  • Installationspfad ist verfügbar
  • Repository-Belege sind verfügbar
  • Lizenz ist angegeben
  • Noch keine Agent-Proven-Ergebnisbelege

Agent-lesbare Metadaten

Maschinenlesbare Entscheidungsdaten für diesen Skill.

Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.

JSON öffnen

Geeignete Aufgaben

  • GitHub automation-Workflows
  • Claude-Code-Teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Geeignete Agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Installationsentscheidung

Befehl
npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review
Richtlinie
Prüfen
Menschliche Prüfung
Ja

Vertrauen und Risiko

Vertrauen
64/100
Audit
77/100
Risikoebene
Prüfung nötig

Ergebnis-Loop

Endpoint
/api/agent/outcome
Event-ID
resolve
Ergebnisse
5

Installationsbefehl

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

Nicht verwenden, wenn

  • Teams, die ein vom Anbieter unterstütztes SLA benötigen
  • production agents without a repository review
  • Repository license is NOASSERTION; unclear usage rights for the skill.
  • Hinweise auf Hochrisiko-Berechtigungen: Shell- oder Befehlsausführung
  • Permission surface may require sandboxing

Agent-Sicherheit v2

49/100 · Automatische Installation vermeiden

ExperimentellPrüfen

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

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

Per API auflösen

Hoch

Shell- oder Befehlsausführung

Die Skill-Metadaten verweisen auf Terminal-, CLI-, Shell-, Subprozess- oder Befehlsausführungs-Workflows.

Mittel

Netzwerkzugriff

Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.

Mittel

Dateisystemzugriff

Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.

  • Hinweise auf Hochrisiko-Berechtigungen: Shell- oder Befehlsausführung
  • Permission surface may require sandboxing

Installationsziele

Diesen Skill im Agent-Workflow installieren

Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.

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

Agent-Auflösungsplan

Lass einen Agent die Eignung vor der Installation prüfen.

Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.

Textplan öffnen

Agent sollte prüfen

  • 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.

Prompt kopieren

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.

Agent-Übergabe

Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.

Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.

Installations-API öffnen

Agent-Prompt

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

Registry-Metadaten

Agent-lesbares Profil für die automatische Skill-Auswahl.

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Manifest öffnen

Agent-Fit

68/100

GitHub automation

Plattformen

Claude Code

Audit-Bericht

Prüfung nötig · 77/100

Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.

Audit-Bericht ansehenEval-Bericht ansehen

Agent-Entscheidungspanel

Fallback candidate for GitHub automation

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

68
Bereitschaft
Prototyp
Phase

Rolle im Stack

Fallback-Kandidat

Primäre Eignung

GitHub automation

Vertrauenslabel

Zuerst prototypisieren

Installationspfad

Befehl bereit

Verwenden wenn

  • GitHub automation-Workflows
  • Claude-Code-Teams
  • builders willing to evaluate younger projects

Evidenz

  • recent repository activity
  • install command or GitHub repo available
  • Qualitätsprofil 67/100
  • 5 OpenAgentSkill-Interaktionen

zuerst prüfen

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

Implementierungspfad

  1. 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine GitHub automation-Aufgabe vollständig aus.
  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.

Vertrauensprofil

Nur Sandbox

Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.

64
OpenAgentSkill Trust Score

GitHub-Akzeptanz

Info

105 GitHub-Stars

Star-/Fork-Aktivität

Prüfen

105 Stars und 6 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar

Aktuelle Wartung

Bestanden

Heute gepusht

Lizenzklarheit

Bestanden

NOASSERTION

Positive Signale

  • KI-Prüfung genehmigt
  • Installationspfad ist verfügbar
  • Repository-Belege sind verfügbar
  • Kürzlich gewartetes Repository
  • Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
  • Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf

Vor Installation prüfen

  • 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
  • Noch keine echten Agent-Ergebnisberichte
  • Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich

Empfohlene Aktion

Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.

Qualitätsprofil

Vielversprechend Kandidat für Agent-Workflows

Useful candidate, but compare it with alternatives before adopting.

67
GitHub-Stars
105
Aktualität
Heute
Installationsbereit
Ja
Lizenz
NOASSERTION
Vor Installation prüfen: Repository license is NOASSERTION; unclear usage rights for the skill.

Workflow-Eignung

Diese Skill in diesen Szenarien nutzen

Workflow-Eignung

Zum vollständigen Workflow hinzufügen

Alternativen-Shortlist

Vor Installation vergleichen

Similar skills that may fit this task.

Alle vergleichen

Übersicht

--- 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

Technische Details

Version
1.0.0
Lizenz
NOASSERTION
Letzte Aktualisierung
23. Aug. 2026
Veröffentlicht
23. Aug. 2026

Entscheidungsübersicht

Fallback-Kandidat

68
Bereit
Prototyp
Phase

recent repository activity

Audit

Installationsprüfung

Installations- und Adoptionsprüfung

77
Prüfung nötig
Sicherheit
75/100
Wartung
100/100
Installieren
92/100
Vollständiges Audit öffnenEval-Bericht ansehen

Von Agent belegte Evidenz

Von Agent belegte Evidenz

Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.

0
Belegt
Needs first agent runAuto-Installation: zuerst prüfenLetzter: Unbekannt
Erfolgsrate
Letzter Fehler
Ergebnisse
0
Ausgabequalität
Fehlgeschlagen
0
Nicht relevant
0
Installationen
0
Durch Risiko blockiert
0
Einrichtung erforderlich
0
Produktion
0

Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.

Installieren

Zum Agent-Workflow hinzufügen

Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.

Wachstums-Loop

Share-Kit

X

Szenariobasierter Entwurf für architecture-implementation-review, bereit für einen manuellen X-Post.

Kuratorenhinweis
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
X-Entwurf öffnen
Optionale Antwort mit Installationsbefehl
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...
Antwortentwurf öffnen

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller
sesori-ai
Indexiert von
OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

Diesen Skill beanspruchen

Eigentümeranspruch

Diesen Skill-Eintrag beanspruchen

Dieser Registry-indexiert-Eintrag wird sesori-ai zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

Creator-Backlink-Kit

Evidenz-Badges in deine README einfügen

Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.

[![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)

Autor

S

sesori-ai

@sesori-ai

Plattform-Fit

Gesundheitssignale

GitHub-Stars
105
Qualitätswert
37/100
Letzter GitHub-Push
23. Aug. 2026
Framework-Hinweise
Unbekannt
OpenAgentSkill-Aufrufe
5
Installationskopien
0
Externe Klicks
0

Community-Signal

Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.

Vertrauen & Sicherheit

Nur Sandbox

64
  • GitHub-Akzeptanz105 GitHub-StarsInfo
  • Star-/Fork-Aktivität105 Stars und 6 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarPrüfen
  • Aktuelle WartungHeute gepushtBestanden
  • LizenzklarheitNOASSERTIONBestanden
  • README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
  • Abhängigkeits-/Laufzeitrisikocommand execution surface, network or browser surfaceInfo