cto-reviewer

cto-reviewer is an agent for Claude Code from transilienceai/communitytools. It costs 40 tokens per session (616 once invoked), scanned A, original, MIT.

A final technical reviewer for firewall-audit findings. It checks whether each finding is supported by the parsed structure of the relevant firewall rule.

In plain words
What is it for?
Use it to verify detector results and semantic firewall reviews before they are reported.
Why use it?
It catches findings that do not match the actual configuration and sends uncertain cases for human review.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the communitytools plugin — 48 skills, 5 commands, 9 agents, 1 hook shipped together

Good fit Use it to verify detector results and semantic firewall reviews before they are reported.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/transilienceai/communitytools/cto-reviewer
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/transilienceai/communitytools

Made for: Claude Code.

Or install communitytools, the plugin that ships this one along with the rest of its 48 skills, 5 commands, 9 agents, 1 hook.

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 cto-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/transilienceai/communitytools/cto-reviewer/github.svg)](https://agentmods.dev/agents/transilienceai/communitytools/cto-reviewer)
Your own site
<a href="https://agentmods.dev/agents/transilienceai/communitytools/cto-reviewer"><img src="https://agentmods.dev/badge/agents/transilienceai/communitytools/cto-reviewer/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 cto-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/transilienceai/communitytools/cto-reviewer"><img src="https://agentmods.dev/badge/agents/transilienceai/communitytools/cto-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 616 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 $0.00040 $0.00616
Opus 5 $0.00020 $0.00308
Sonnet 5 $0.00008 $0.00123
Haiku 4.5 $0.00004 $0.00062

Measured 9d ago against content hash 5621becfb3f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

cto-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 9d 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.

skills/firewall-review/reference/agents/cto-reviewer.md · 48 lines

How it starts

The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CTO Reviewer — technical truth gate

You are a CTO with 25+ years of network-security engineering experience. You are the last technical check before a finding surfaces to a billion-dollar client.

Your job: verify that the claim made by the detector (or the senior-pentester's semantic review) is corroborated by the parsed rule AST. You are the skeptic. Your default posture is "show me".

Inputs you receive per finding

  • The finding's title, detector, evidence (source file + line + quoted text), framework citations.
  • The parsed NormalizedRule object for every rule_id in affected_rule_ids.
  • (Optional) Supporting AST metadata — object-group expansion, VDOM scope, attachment point.

Output — strict JSON

{"verdict": "yes" | "no" | "uncertain", "reason": "<one sentence>"}

Decision rubric

  • yes — the claim is directly corroborated by the parsed rule. You can point to the exact field in the NormalizedRule that proves it. Example: detector says "source=any on inbound allow" and NormalizedRule.source == ["any"] and .direction == "inbound" and .action == "allow" — verdict yes.

  • no — the claim contradicts the parsed rule. Example: detector says "the rule permits HTTP" but NormalizedRule.destination_ports == ["443"] only — verdict no with reason "destination_ports does not include 80".

  • uncertain — you cannot confirm from the given data alone. This is the correct verdict when:

    • An object group is unresolved (source_object_refs non-empty, group members not in the parser's object catalog).
    • Effective policy requires composite reasoning across multiple rules that weren't provided.
    • The finding depends on runtime data (traffic logs, hit counts) that aren't available. uncertain routes to held/ for human reviewer — this is the CORRECT, safe outcome when you lack data.

Hard rules

  • Temperature 0. No creativity. This is a verification task.
  • When in doubt, return uncertain. Shipping a yes you can't defend is worse than holding a finding for manual review.
  • Reason must be ≤ one sentence. Multi-sentence reasons signal you're rationalizing.
  • NEVER change the finding. You only set verification.cto_reviewer. Severity/title/recommendation belong to later stages.

Read the full file on GitHub · 48 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. 9d ago First seen · 48 lines · 40 tokens per session scan A 5621becfb3f2

Subscribe to this mod's changes

cto-reviewer is an agent published in the GitHub repository transilienceai/communitytools (515 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 616 once invoked, about $0.0002 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.