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
Asset-Profil
Coding- und Entwickler-Agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Szenario
Coding-Agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent-Fit
Claude Code + CLI + Codex
Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.
Installieren
Bereit
npx skills add alirezarezvani/claude-skills --skill adversarial-reviewer
Wartung
Aktuell
1 Tage seit dem letzten Push
Risiko
Prüfung nötig
Permission surface may require sandboxing
GitHub-Qualität
25K
91/100 Qualität · 83/100 Vertrauen
Abdeckungs-Tags
Review-Notizen
Permission surface may require sandboxing · Quality score needs review
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
AusgezeichnetHigh-confidence pick with strong adoption and healthy maintenance signals.
Vertrauen
Nur SandboxNützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
Audit
Prüfung nötigMaschinenlesbare 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.
Stars
25K GitHub-Stars
Repository-Aktivität
25K Stars und 3.5K Forks
Wartung
1 Tage seit dem letzten Push
Lizenz
MIT
Installieren
npx skills add alirezarezvani/claude-skills --skill adversarial-reviewer
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
- 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
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.
Geeignete Aufgaben
- Security and compliance-Workflows
- Claude-Code-Teams
- Teams, die GitHub-Adoptionssignale schätzen
- Inspect risky files
Geeignete Agents
Installationsentscheidung
- Befehl
- npx skills add alirezarezvani/claude-skills --skill adversarial-reviewer
- Richtlinie
- Prüfen
- Menschliche Prüfung
- Ja
Vertrauen und Risiko
- Vertrauen
- 75/100
- Audit
- 88/100
- Risikoebene
- Prüfung nötig
Ergebnis-Loop
- Endpoint
- /api/agent/outcome
- Event-ID
- resolve
- Ergebnisse
- 5
Installationsbefehl
npx skills add alirezarezvani/claude-skills --skill adversarial-reviewerNicht verwenden, wenn
- Teams, die ein vom Anbieter unterstütztes SLA benötigen
- Hochregulierte Umgebungen ohne interne Sicherheitsprüfung
- No major risk signals from current metadata
- Hinweise auf Hochrisiko-Berechtigungen: Shell or command execution, Secrets or environment access
- Permission surface may require sandboxing
Agent-Sicherheit v2
44/100 · Automatische Installation vermeiden
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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.
Hoch
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- Hinweise auf Hochrisiko-Berechtigungen: Shell or command execution, Secrets or environment access
- 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.
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-reviewerAgent-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.
JSON öffnen
/api/agent/resolve?task=Use%20adversarial-reviewer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve-Text
/api/agent/resolve?task=Use%20adversarial-reviewer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Installationsübergabe
/api/skills/alirezarezvani-adversarial-reviewer/install
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 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.Agent-Übergabe
Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
Installationsübergabe
/api/skills/alirezarezvani-adversarial-reviewer/install
LLM-Textformat
/api/skills/alirezarezvani-adversarial-reviewer/install?format=text
Alternativen finden
/api/skills/search?q=adversarial-reviewer&limit=3
Agent-Prompt
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-reviewerRegistry-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
/api/registry/manifest/alirezarezvani-adversarial-reviewer
LLM-Text
/api/registry/manifest/alirezarezvani-adversarial-reviewer?format=text
Installationsalias
/api/registry/install/alirezarezvani-adversarial-reviewer
Empfehlen
/api/registry/recommend?task=Use%20adversarial-reviewer%20in%20an%20agent%20workflow&limit=3
Agent-Fit
Security and compliance
Use-Case-Tags
Plattformen
Claude Code
Audit-Bericht
Prüfung nötig · 88/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Primäre Wahl für Security and compliance
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Rolle im Stack
Primäre Wahl
Primäre Eignung
Security and compliance
Vertrauenslabel
Produktionsbereit
Installationspfad
Befehl bereit
Verwenden wenn
- Security and compliance-Workflows
- Claude-Code-Teams
- Teams, die GitHub-Adoptionssignale schätzen
Evidenz
- 24,795 GitHub-Stars
- recent repository activity
- install command or GitHub repo available
- Qualitätsprofil 91/100
- 5 OpenAgentSkill-Interaktionen
zuerst prüfen
- No major risk signals from current metadata
Implementierungspfad
- 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine Security and compliance-Aufgabe vollständig aus.
- 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.
Vertrauensprofil
Nur Sandbox
Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
GitHub-Akzeptanz
Bestanden25K GitHub-Stars
Star-/Fork-Aktivität
Bestanden25K Stars und 3.5K Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden1 Tage seit dem letzten Push
Lizenzklarheit
BestandenMIT
Positive Signale
- KI-Prüfung genehmigt
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Kürzlich gewartetes Repository
- Large GitHub adoption signal
- Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
- Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf
Vor Installation prüfen
- 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
- 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
Ausgezeichnet Kandidat für Agent-Workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow-Eignung
Diese Skill in diesen Szenarien nutzen
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.
Workflow-Eignung
Zum vollständigen Workflow hinzufügen
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.
Übersicht
--- 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
Technische Details
- Version
- 2.9.0
- Lizenz
- MIT
- Letzte Aktualisierung
- 22. Aug. 2026
- Veröffentlicht
- 22. Aug. 2026
Entscheidungsübersicht
Primäre Wahl
24,795 GitHub-Stars
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 82/100
- Wartung
- 100/100
- Installieren
- 92/100
Von Agent belegte Evidenz
Von Agent belegte Evidenz
Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.
- 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
Szenariobasierter Entwurf für adversarial-reviewer, bereit für einen manuellen X-Post.
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
Optionale Antwort mit Installationsbefehl
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
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- ekreloff
- 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 beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird ekreloff 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.
[](https://www.openagentskill.com/skills/alirezarezvani-adversarial-reviewer)
[](https://www.openagentskill.com/skills/alirezarezvani-adversarial-reviewer)
[](https://www.openagentskill.com/skills/alirezarezvani-adversarial-reviewer/audit)
[](https://www.openagentskill.com/skills/alirezarezvani-adversarial-reviewer)Autor
ekreloff
@ekreloff
Tags
Plattform-Fit
Gesundheitssignale
- GitHub-Stars
- 24.8K
- Qualitätswert
- 54/100
- Letzter GitHub-Push
- 22. 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
- GitHub-Akzeptanz25K GitHub-StarsBestanden
- Star-/Fork-Aktivität25K Stars und 3.5K Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarBestanden
- Aktuelle Wartung1 Tage seit dem letzten PushBestanden
- LizenzklarheitMITBestanden
- README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
- Abhängigkeits-/Laufzeitrisikonetwork or browser surface, database surfaceInfo