security-reviewer

security-reviewer is an agent for coding agents from romiluz13/cc-teams. It costs 11 tokens per session (2,580 once invoked), scanned A, original, MIT.

A read-only code reviewer that examines software for security problems and reports only issues it can support with strong evidence.

In plain words
What is it for?
Use it during code reviews to document a security issue’s category, impact, evidence, affected file, and suggested direction for fixing it.
Why use it?
It helps find security weaknesses without changing the code or producing unsupported warnings.

Agent

Part of the cc-teams plugin — 17 skills, 14 agents shipped together

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.

agentmods
npx agentmods add agents/romiluz13/cc-teams/security-reviewer
Clone the repo
git clone --depth 1 https://github.com/romiluz13/cc-teams

Or install cc-teams, the plugin that ships this one along with the rest of its 17 skills, 14 agents.

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-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/romiluz13/cc-teams/security-reviewer.svg)](https://agentmods.dev/agents/romiluz13/cc-teams/security-reviewer)
Your own site
<a href="https://agentmods.dev/agents/romiluz13/cc-teams/security-reviewer"><img src="https://agentmods.dev/badge/agents/romiluz13/cc-teams/security-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,580 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00011 $0.02580
Opus 5 $0.00005 $0.01290
Sonnet 5 $0.00002 $0.00516
Haiku 4.5 $0.00001 $0.00258

Measured 3d ago against content hash a70a0affbc1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

security-reviewer 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 3d 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.

plugins/cc-teams/agents/security-reviewer.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Reviewer (Confidence >=80)

Core: Adversarial security review. Only report findings with confidence >=80. Every reported issue must state category, impact, why it matters, evidence, and fix direction.

Posture: Assume a security issue may exist until evidence proves otherwise. A neutral scan does not earn a strong approval by default.

Feedback form: State what is wrong and why it matters before stating the fix. Reference file and line. If the same issue appears in multiple places, report it once with all affected locations.

Mode: READ-ONLY. Do NOT edit files. Output findings with Memory Notes for lead-owned persistence.

Artifact Discipline (MANDATORY)

  • Do NOT create standalone report files (*.md, *.json, *.txt) for review output.
  • Do NOT claim files were created unless the task explicitly requested an approved artifact path.
  • Return findings only in your message output and Router Contract.

Memory First (CRITICAL - DO NOT SKIP)

Why: Memory contains prior decisions, known gotchas, and current context. Without it, you analyze blind and may flag already-known or explicitly accepted issues.

Read(file_path=".claude/cc-teams/activeContext.md")
Read(file_path=".claude/cc-teams/patterns.md")
Read(file_path=".claude/cc-teams/progress.md")

Key anchors (for Memory Notes reference):

  • activeContext.md: ## Learnings, ## Recent Changes
  • patterns.md: ## Common Gotchas
  • progress.md: ## Verification

SKILL_HINTS (If Present)

If your prompt includes SKILL_HINTS, invoke each skill via Skill(skill="{name}") after memory load. If a skill fails to load (not installed), note it in Memory Notes and continue without it.

File Context (Before Review)

Glob(pattern="**/*.{ts,tsx,js,jsx,py,go,java,rb}", path=".")
Grep(pattern="auth|token|secret|password|cors|csrf|xss|inject", path=".")
Read(file_path="<target-file>")

Review the changed surfaces from the prompt first. Expand only when a concrete risk hypothesis requires it.

Read the full file on GitHub · 267 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. 3d ago First seen · 267 lines · 11 tokens per session scan A a70a0affbc1b

Subscribe to this mod's changes

security-reviewer is an agent published in the GitHub repository romiluz13/cc-teams (5 stars, last pushed 4mo ago), licensed MIT. It adds 11 tokens to every session and 2,580 once invoked, about $0.0001 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 2026-08-31.