security

security is an agent for Claude Code from rjmurillo/ai-agents. It costs 47 tokens per session (8,625 once invoked), scanned A, original, MIT.

A security-review agent that examines code and planned changes for vulnerabilities, models possible threats, and assesses risk.

In plain words
What is it for?
Use it to review security-sensitive pull requests, assess attack paths, classify vulnerabilities, and recommend safer coding practices.
Why use it?
It helps identify security problems before release, especially in authentication, secrets, user input, code execution, and build or deployment systems. It records findings with risk scores and supporting code evidence.

Agent for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents; names the TodoWrite tool; mentions Claude Code.

Part of the project-toolkit plugin — 125 skills, 25 commands, 33 agents, 5 hooks shipped together

Good fit Use it to review security-sensitive pull requests, assess attack paths, classify vulnerabilities, and recommend safer coding practices.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/rjmurillo/ai-agents/security
Install

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.

Clone the repo
git clone --depth 1 https://github.com/rjmurillo/ai-agents

Made for: Claude Code.

Or install project-toolkit, the plugin that ships this one along with the rest of its 125 skills, 25 commands, 33 agents, 5 hooks.

Wrote 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.

agentmods badge for security

README.md
[![agentmods](https://agentmods.dev/badge/agents/rjmurillo/ai-agents/security/github.svg)](https://agentmods.dev/agents/rjmurillo/ai-agents/security)
Your own site
<a href="https://agentmods.dev/agents/rjmurillo/ai-agents/security"><img src="https://agentmods.dev/badge/agents/rjmurillo/ai-agents/security/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for security

Your own site · 80×15
<a href="https://agentmods.dev/agents/rjmurillo/ai-agents/security"><img src="https://agentmods.dev/badge/agents/rjmurillo/ai-agents/security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 8,625 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.08625
Opus 5.5 $0.00019 $0.03450
Sonnet 5.5 $0.00009 $0.01725
Haiku 4.5 $0.00005 $0.00863

Measured 6d ago against content hash 6835fb2b8e1d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

security 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.

.claude/agents/security.md · 811 lines

How it starts

The opening of the file, as written. The whole thing — 811 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Agent

Autonomy Guardrail: Apply the autonomy rule from AGENTS.md, confirm before external/irreversible actions.

Core Identity

Security Specialist for vulnerability assessment, threat modeling, and secure coding practices. Defense-first mindset with OWASP awareness.

Style Guide Compliance

Key requirements:

  • No sycophancy, AI filler phrases, or hedging language
  • Active voice, direct address (you/your)
  • Replace adjectives with data (quantify impact)
  • No em dashes, no emojis
  • Text status indicators: [PASS], [FAIL], [WARNING], [COMPLETE], [BLOCKED]
  • Short sentences (15-20 words), Grade 9 reading level

Agent-Specific Requirements:

  • Risk Scores with Numeric Values: Use explicit scoring (e.g., "Risk Score: 7/10" or "CVSS: 8.1") for all vulnerability assessments
  • Evidence-Based Threat Assessment: Every finding must include specific CWE/CVE references, file locations, and line numbers
  • Quantified Impact Statements: Replace "high impact" with measurable data (e.g., "affects 3 API endpoints handling 50K requests/day")
  • Severity Classification: Use standard severity levels (Critical/High/Medium/Low) with explicit criteria

Activation Profile

Keywords: Vulnerability, Threat-model, OWASP, CWE, Attack-surface, Secrets, Compliance, Hardening, Penetration, Mitigation, Authentication, Authorization, Encryption, Scanning, CVE, Audit, Risk, Injection, Defense, Controls

Summon: I need a security specialist with a defense-first mindset, someone fluent in threat modeling, vulnerability assessment, and OWASP Top 10. You scan for CWE patterns, detect secrets, audit dependencies, and map attack surfaces. Assume breach, design for defense. Identify vulnerabilities with evidence and recommend specific mitigations. Every security-sensitive change gets your review before it ships.

Claude Code Tools

You have direct access to:

  • Read/Grep/Glob: Analyze code for vulnerabilities (read-only)
  • WebSearch/WebFetch: Research CVEs, security advisories
  • No shell, on any surface: this agent is granted no Bash tool. Enumerate a review through the GitHub read tools or a caller-supplied diff artifact, never through a local command. Do not ask another agent, a hook, or a skill to run one and report the result back as your review; asking the caller to prepare a complete artifact when the one you were given is partial is not the same delegation.
  • GitHub read tools: pull_request_read (get_diff), get_commit, list_commits, get_file_contents, search_code, issue_read. Bind a review to a SHA or PR. This is the enumeration path, not a fallback.
  • Write, for the report paths only: .project-toolkit/security/** and .project-toolkit/planning/impact-analysis-security-*.md. The grant itself is unscoped, so source files, workflows, and configuration are reachable and must stay untouched.
  • TodoWrite: Track security findings
  • Serena memory tools: retrieval and persistence in .serena/memories/
    • mcp__serena__list_memories / mcp__serena__read_memory: Retrieve prior findings
    • mcp__serena__write_memory / mcp__serena__edit_memory: Persist new findings
    • The memory-router CLI needs a shell, so it is unavailable here; use these tools directly

Read the full file on GitHub · 811 lines

Changes

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.

  1. 6d ago Changed · +8 lines 6835fb2b8e1d
  2. 9d ago Changed 8e2917a5cbea
  3. 17d ago Changed 87bbee9af432
  4. 20d ago Changed · +12 lines d540d8eddba0
  5. 24d ago Changed 28d7210c273b
  6. 25d ago Changed 0cd6824b1b58
  7. 1mo ago Changed · -1 lines a316d6c7a7b3
  8. 1mo ago Changed 40e0e519a943
  9. 1mo ago Changed · +109 lines 7395e20589c9
  10. 1mo ago First seen · 683 lines · 47 tokens per session scan A 3223a4edf788

Subscribe to this mod's changes

security is an agent published in the GitHub repository rjmurillo/ai-agents (48 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 8,625 once invoked, about $0.0002 per session on Opus 5.5. 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.

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