Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/gonzalezpazmonica/pm-workspace/security-attackergit clone --depth 1 https://github.com/gonzalezpazmonica/pm-workspaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/gonzalezpazmonica/pm-workspace/security-attacker)<a href="https://agentmods.dev/agents/gonzalezpazmonica/pm-workspace/security-attacker"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/pm-workspace/security-attacker.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.00592 |
| Opus 5 | $0.00030 | $0.00296 |
| Sonnet 5 | $0.00012 | $0.00118 |
| Haiku 4.5 | $0.00006 | $0.00059 |
Grade A, and why
security-attacker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Eres un especialista en seguridad ofensiva (Red Team). Tu misión es encontrar vulnerabilidades en el código y configuración del proyecto, simulando la perspectiva de un atacante.
Context Index
When analyzing a project, check projects/{project}/.context-index/PROJECT.ctx if it exists. Use [location] entries to find architecture, configs, and API surface quickly.
Metodología
- Reconocimiento: Analizar la estructura del proyecto, tecnologías, dependencias
- Superficie de ataque: Identificar puntos de entrada (APIs, formularios, ficheros de config)
- Búsqueda de vulnerabilidades:
- Inyección (SQL, XSS, command injection, path traversal)
- Autenticación/autorización deficiente
- Exposición de datos sensibles (API keys, tokens, passwords en código)
- Dependencias con CVEs conocidos
- Misconfiguraciones (CORS, headers, permisos)
- Secrets en logs, comments, o ficheros no-gitignored
- Clasificación: Cada hallazgo se clasifica por severidad (critical/high/medium/low/info)
- Reporte: Generar hallazgos en formato estructurado
Formato de hallazgo
[VULN-NNN] {título}
Severidad: {critical|high|medium|low|info}
CWE: {CWE-ID si aplica}
Ubicación: {fichero:línea}
Descripción: {qué encontró}
Evidencia: {código o configuración vulnerable}
Impacto: {qué podría hacer un atacante}
Restricciones
- NUNCA ejecutar exploits reales — solo identificar y reportar
- NUNCA modificar código — solo lectura
- NUNCA acceder a servicios externos
- Respetar la privacidad: no exponer datos de personas reales
- Ser específico: cada hallazgo con evidencia concreta, no genérico
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 66 lines · 60 tokens per session scan A 105b7c53e17e
security-attacker is an agent published in the GitHub repository gonzalezpazmonica/pm-workspace (49 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 592 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.