adversarial-reviewer
Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas
Profil de l’actif
Agents de code et de développement
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scénario
Agents de code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Adéquation Agent
Claude Code + CLI + Codex
Compatible avec Codex, Claude Code, Cursor, CLI ou des Agents personnalisés.
Installer
Prêt
npx skills add alirezarezvani/claude-skills --skill adversarial-reviewer
Maintenance
À jour
Mis à jour aujourd’hui
Risque
Revue nécessaire
Permission surface may require sandboxing
Qualité GitHub
25K
91/100 Qualité · 83/100 Confiance
Tags de couverture
Notes de revue
Permission surface may require sandboxing · Quality score needs review
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Confiance
Sandbox uniquementCandidate 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 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
Exécutez uniquement dans un sandbox et comparez les alternatives proches avant usage réel.
Stars
25K stars GitHub
Activité du dépôt
25K stars et 3.5K forks
Maintenance
Mis à jour aujourd’hui
Licence
MIT
Installer
npx skills add alirezarezvani/claude-skills --skill adversarial-reviewer
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
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Permission surface: shell or command execution, filesystem or document access
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 Security and compliance
- Équipes Claude Code
- Équipes qui valorisent les signaux d’adoption GitHub
- Inspect risky files
Agents adaptés
Décision d’installation
- Commande
- npx skills add alirezarezvani/claude-skills --skill adversarial-reviewer
- Politique
- Revoir
- Revue humaine
- Oui
Confiance et risque
- Confiance
- 75/100
- Audit
- 88/100
- Niveau de risque
- Revue nécessaire
Boucle de résultat
- Endpoint
- /api/agent/outcome
- ID d’événement
- resolve
- Résultats
- 5
Commande d’installation
npx skills add alirezarezvani/claude-skills --skill adversarial-reviewerNe pas utiliser quand
- Équipes qui nécessitent un SLA soutenu par le fournisseur
- Environnements fortement conformes sans revue interne de sécurité
- No OpenAgentSkill engagement data yet
- Indices de permissions à haut risque : Shell or command execution, Secrets or environment access
- Permission surface may require sandboxing
Sécurité Agent v2
44/100 · Éviter l’installation automatique
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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 alirezarezvani-adversarial-reviewerPlan 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%20adversarial-reviewer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texte Resolve
/api/agent/resolve?task=Use%20adversarial-reviewer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Relais d’installation
/api/skills/alirezarezvani-adversarial-reviewer/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 adversarial-reviewer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20adversarial-reviewer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alirezarezvani-adversarial-reviewer/install
Install command: npx skills add alirezarezvani/claude-skills --skill adversarial-reviewer
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/alirezarezvani-adversarial-reviewer/install
Format texte LLM
/api/skills/alirezarezvani-adversarial-reviewer/install?format=text
Trouver des alternatives
/api/skills/search?q=adversarial-reviewer&limit=3
Prompt Agent
Use adversarial-reviewer for this task. Review https://www.openagentskill.com/api/skills/alirezarezvani-adversarial-reviewer/install, then install with: npx skills add alirezarezvani/claude-skills --skill adversarial-reviewerMétadonnées 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/alirezarezvani-adversarial-reviewer
Texte LLM
/api/registry/manifest/alirezarezvani-adversarial-reviewer?format=text
Alias d’installation
/api/registry/install/alirezarezvani-adversarial-reviewer
Recommander
/api/registry/recommend?task=Use%20adversarial-reviewer%20in%20an%20agent%20workflow&limit=3
Adéquation Agent
Security and compliance
Tags de cas d’usage
Plateformes
Claude Code
Rapport d’audit
Revue nécessaire · 88/100
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
Choix principal pour Security and compliance
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Rôle dans la pile
Choix principal
Pertinence principale
Security and compliance
Libellé de confiance
Prêt pour la production
Chemin d’installation
Commande prête
À utiliser lorsque
- workflows Security and compliance
- Équipes Claude Code
- Équipes qui valorisent les signaux d’adoption GitHub
Preuves
- 24,795 stars GitHub
- recent repository activity
- install command or GitHub repo available
- profil qualité 91/100
revoir d’abord
- No OpenAgentSkill engagement data yet
Chemin d’implémentation
- 1Installez-le dans un Agent en sandbox et exécutez une tâche de Security and compliance 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
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.
Adoption GitHub
Validé25K stars GitHub
Activité stars/forks
Validé25K stars et 3.5K forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
ValidéMis à jour aujourd’hui
Clarté de licence
ValidéMIT
Signaux positifs
- Revue IA approuvée
- Le chemin d’installation est disponible
- La preuve du dépôt est disponible
- Dépôt maintenu récemment
- Large GitHub adoption signal
- 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
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- 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
Excellent candidat pour les workflows Agent
High-confidence pick with strong adoption and healthy maintenance signals.
Adéquation au workflow
Utilisez cette skill dans ces scénarios
Reduce risk
Security and compliance
I need my agent to scan a project for security risks and summarize what needs attention.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Adéquation au workflow
Ajouter à un workflow complet
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.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
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.
Vue d’ensemble
--- name: "adversarial-reviewer" description: "Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer." tier: "STANDARD" category: "Engineering / Code Quality" dependencies: "None (prompt-only, no external tools required)" author: "ekreloff" version: "2.9.0" license: "MIT" ---
# Adversarial Code Reviewer
## Description
Adversarial code review skill that forces genuine perspective shifts through three hostile reviewer personas (Saboteur, New Hire, Security Auditor). Each persona MUST find at least one issue — no "LGTM" escapes. Findings are severity-classified and cross-promoted when caught by multiple personas.
## Features
- **Three adversarial personas** — Saboteur (production breaks), New Hire (maintainability), Security Auditor (OWASP-informed) - **Mandatory findings** — Each persona must surface at least one issue, eliminating rubber-stamp reviews - **Severity promotion** — Issues caught by 2+ personas are promoted one severity level - **Self-review trap breaker** — Concrete techniques to overcome shared mental model blind spots - **Structured verdicts** — BLOCK / CONCERNS / CLEAN with clear merge guidance
## Usage
``` /adversarial-review # Review staged/unstaged changes /adversarial-review --diff HEAD~3 # Review last 3 commits /adversarial-review --file src/auth.ts # Review a specific file ```
## Examples
### Example: Reviewing a PR Before Merge
``` /adversarial-review --diff main...HEAD ```
Produces a structured report with findings from all three personas, deduplicated and severity-ranked, ending with a BLOCK/CONCERNS/CLEAN verdict.
## Problem This Solves
When Claude reviews code it wrote (or code it just read), it shares the same mental model, assumptions, and blind spots as the author. This produces "Looks good to me" reviews on code that a fresh human reviewer would flag immediately. Users report this as one of the top frustrations with AI-assisted development.
This skill forces a genuine perspective shift by requiring you to adopt adversarial personas — each with different priorities, different fears, and different definitions of "bad code."
## Table of Contents
1. [Quick Start](#quick-start) 2. [Review Workflow](#review-workflow) 3. [The Three Personas](#the-three-personas) 4. [Severity Classification](#severity-classification) 5. [Output Format](#output-format) 6. [Anti-Patterns](#anti-patterns) 7. [When to Use This](#when-to-use-this)
## Quick Start
``` /adversarial-review # Review staged/unstaged changes /adversarial-review --diff HEAD~3 # Review last 3 commits /adversarial-review --file src/auth.ts # Review a specific file ```
## Review Workflow
### Step 1: Gather the Changes
Determine what to review based on invocation:
- **No arguments:** Run `git diff` (unstaged) + `git diff --cached` (staged). If both empty, run `git diff HEAD~1` (last commit). - **`--diff <ref>`:** Run `git diff <ref>`. - **`--file <path>`:** Read the entire file. Focus review on the full file rather than just changes.
If no changes are found, stop and report: "Nothing to review."
### Step 2: Read the Full Context
For every file in the diff: 1. Read the **full file** (not just the changed lines) — bugs hide in how new code interacts with existing code. 2. Identify the **purpose** of the change: bug fix, new feature, refactor, config change, test. 3. Note any **project conventions** from CLAUDE.md, .editorconfig, linting configs, or existing patterns.
### Step 3: Run All Three Personas
Execute each persona sequentially. Each persona MUST produce at least one finding. If a persona finds nothing wrong, it has not looked hard enough — go back and look again.
**IMPORTANT:** Do not soften findings. Do not hedge. Do not say "this might be fine but..." — either it's a problem or it isn't. Be direct.
### Step 4: Deduplicate and Synthesize
After all three personas have reported: 1. Merge duplicate findings (same issue caught by multiple personas). 2. Promote findings caught by 2+ personas to the next severity level. 3. Produce the final structured output.
## The Three Personas
### Persona 1: The Saboteur
**Mindset:** "I am trying to break this code in production."
**Priorities:** - Input that was never validated - State that can become inconsistent - Concurrent access without synchronization - Error paths that swallow exceptions or return misleading results - Assumptions about data format, size, or availability that could be violated - Off-by-one errors, integer overflow, null/undefined dereferences - Resource leaks (file handles, connections, subscriptions, listeners)
**Review Process:** 1. For each function/method changed, ask: "What is the worst input I could send this?" 2. For each external call, ask: "What if this fails, times out, or returns garbage?" 3. For each state mutation, ask: "What if this runs twice? Concurrently? Never?" 4. For each conditional, ask: "What if neither branch is correct?"
**You MUST find at least one issue. If the code is genuinely bulletproof, note the most fragile assumption it relies on.**
---
### Persona 2: The New Hire
**Mindset:** "I just joined this team. I need to understand and modify this code in 6 months with zero context from the original author."
**Priorities:** - Names that don't communicate intent (what does `data` mean? what does `process()` do?) - Logic that requires reading 3+ other files to understand - Magic numbers, magic strings, unexplained constants - Functions doing more than one thing (the name says X but it also does Y and Z) - Missing type information that forces the reader to trace through call chains - Inconsistency with surrounding code style or project conventions - Tests that test implementation details instead of behavior - Comments that describe *what* (redundant) instead of *why* (useful)
**Review Process:** 1. Read each changed function as if you've never seen the codebase. Can you understand what it does from the name, parameters, and body alone? 2. Trace one code path end-to-end. How many files do you need to open? 3. Check: would a new contributor know where to add a similar feature? 4. Look for "the author knew something the reader won't" — implicit knowledge baked into the code.
**You MUST find at least one issue. If the code is crystal clear, note the most likely point of confusion for a newcomer.**
---
### Persona 3: The Security Auditor
**Mindset:** "This code will be attacked. My job is to find the vulnerability before an attacker does."
**OWASP-Informed Checklist:**
| Category | What to Look For | |----------|-----------------| | **Injection** | SQL, NoSQL, OS command, LDAP — any place user input reaches a query or command without parameterization | | **Broken Auth** | Hardcoded credentials, missing auth checks on new endpoints, session tokens in URLs or logs | | **Data Exposure** | Sensitive data in error messages, logs, or API responses; missing encryption at rest or in transit | | **Insecure Defaults** | Debug mode left on, permissive CORS, wildcard permissions, default passwords | | **Missing Access Control** | IDOR (can user A access user B's data?), missing role checks, privilege escalation paths | | **Dependency Risk** | New dependencies with known CVEs, pinned to vulnerable versions, unnecessary transitive dependencies | | **Secrets** | API keys, tokens, passwords in code, config, or comments — even "temporary" ones |
**Review Process:** 1. Identify every trust boundary the code crosses (user input, API calls, database, file system, environment variables). 2. For each boundary: is input validated? Is output sanitized? Is the principle of least privilege followed? 3. Check: could an authenticated user escalate privileges through this change? 4. Check: does this change expose any new attack surface?
**You MUST find at least one issue. If the code has no security surface, note the closest thing to a security-relevant assumption.**
## Severity Classification
| Severity | Definition | Action Required | |----------|-----------|-----------------| | **CRITICAL** | Will cause data loss, security breach, or production outage. Must fix before merge. | Block merge. | | **WARNING** | Likely to cause bugs in edge cases, degrade performance, or confuse future maintainers. Should fix before merge. | Fix or explicitly accept risk with justification. | | **NOTE** | Style issue, minor improvement opportunity, or documentation gap. Nice to fix. | Author's discretion. |
**Promotion rule:** A finding flagged by 2+ personas is promoted one level (NOTE becomes WARNING, WARNING becomes CRITICAL).
## Output Format
Structure your review as follows:
```markdown ## Adversarial Review: [brief description of what was reviewed]
**Scope:** [files reviewed, lines changed, type of change] **Verdict:** BLOCK / CONCERNS / CLEAN
### Critical Findings [If any — these block the merge]
### Warnings [Should-fix items]
### Notes [Nice-to-fix items]
### Summary [2-3 sentences: what's the overall risk profile? What's the single most important thing to fix?] ```
**Verdict definitions:** - **BLOCK** — 1+ CRITICAL findings. Do not merge until resolved. - **CONCERNS** — No criticals but 2+ warnings. Merge at your own risk. - **CLEAN** — Only notes. Safe to merge.
## Anti-Patterns
### What This Skill is NOT
| Anti-Pattern | Why It's Wrong | |-------------|---------------| | "LGTM, no issues found" | If you found nothing, you didn't look hard enough. Every change has at least one risk, assumption, or improvement opportunity. | | Cosmetic-only findings | Reporting only whitespace/formatting while missing a null dereference is worse than no review at all. Substance first, style second. | | Pulling punches | "This might possibly be a minor concern..." — No. Be direct. "This will throw a NullPointerException when `user` is undefined." | | Restating the diff | "This function was added to handle authentication" is not a finding. What's WRONG with how it handles authentication? | | Ignoring test gaps | New code without tests is a finding. Always. Tests are not optional. | | Reviewing only the changed lines | Bugs live in the interaction between new code and existing code. Read the full file. |
### The Self-Review Trap
You are likely reviewing code you just wrote or just read. Your brain (weights) formed the same mental model that produced this code. You will naturally think it looks correct because it matches your expectations.
**To break this pattern:** 1. Read the code **bottom-up** (start from the last function, work backward). 2. For each function, state its contract **before** reading the body. Does the body match? 3. Assume every variable could be null/undefined until proven otherwise. 4. Assume every external call will fail. 5. Ask: "If I deleted this change entirely, what would break?" — if the answer is "nothing," the change might be unnecessary.
## When to Use This
- **Before merging any PR** — especially self-authored PRs with no human reviewer - **After a long coding session** — fatigue produces blind spots; this skill compensates - **When Claude said "looks good"** — if you got an easy approval, run this for a second opinion - **On security-sensitive code** — auth, payments, data access, API endpoints - **When something "feels off"** — trust that instinct and run an adversarial review
## Cross-References
- Related: `engineering-team/senior-security` — deep security analysis - Related: `engineering-team/code-reviewer` — general code quality review - Complementary: `ra-qm-team/` — quality management workflows
Détails techniques
- Version
- 2.9.0
- Licence
- MIT
- Dernière mise à jour
- 22 août 2026
- Publié
- 22 août 2026
Instantané de décision
Choix principal
24,795 stars GitHub
Audit
Revue d’installation
Revue d’installation et d’adoption
- Sécurité
- 82/100
- 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 adversarial-reviewer, prêt pour une publication manuelle sur X.
adversarial-reviewer: Adversarial code review that breaks the self-review monoculture. Use when you want a genuinel... 24.8K stars https://www.openagentskill.com/skills/alirezarezvani-adversarial-reviewer?ref=x
Réponse facultative avec commande d’installation
Listing + install path for adversarial-reviewer: https://www.openagentskill.com/skills/alirezarezvani-adversarial-reviewer?ref=x Install: npx skills add alirezarezvani/claude-skills --skill adversarial-reviewer
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
- ekreloff
- 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 ekreloff, 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/alirezarezvani-adversarial-reviewer)
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[](https://www.openagentskill.com/skills/alirezarezvani-adversarial-reviewer)Auteur
ekreloff
@ekreloff
Tags
Adéquation plateforme
Signaux de santé
- Stars GitHub
- 24.8K
- Score de qualité
- 54/100
- Dernier push GitHub
- 22 août 2026
- Indications de framework
- Inconnu
- Vues OpenAgentSkill
- 0
- 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
- Adoption GitHub25K stars GitHubValidé
- Activité stars/forks25K stars et 3.5K forks; l’activité des issues n’est pas disponible dans les métadonnées actuellesValidé
- Maintenance récenteMis à jour aujourd’huiValidé
- Clarté de licenceMITValidé
- Complétude README/SKILL.mdLes métadonnées incluent suffisamment de contexte d’usage et de workflowValidé
- Risque dépendances/runtimenetwork or browser surface, database surfaceInfo