ciso-reviewer

ciso-reviewer is an agent for Claude Code from transilienceai/communitytools. It costs 32 tokens per session (542 once invoked), scanned A, original, MIT.

A security review agent that checks whether a finding’s severity matches its business context. It considers the importance of the affected asset, applicable regulations, and documented safeguards.

In plain words
What is it for?
It helps review vulnerability findings for production importance, regulatory scope such as PCI or HIPAA, and controls such as a web application firewall or restricted management access.
Why use it?
It helps prevent security findings from being rated too high or too low based only on a detector’s default rating. It provides a business-focused adjustment without rejecting the finding.

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 It helps review vulnerability findings for production importance, regulatory scope such as PCI or HIPAA, and controls such as a web application firewall or restricted management access.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/transilienceai/communitytools/ciso-reviewer"><img src="https://agentmods.dev/badge/agents/transilienceai/communitytools/ciso-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 542 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 $0.00032 $0.00542
Opus 5 $0.00016 $0.00271
Sonnet 5 $0.00006 $0.00108
Haiku 4.5 $0.00003 $0.00054

Measured 9d ago against content hash 145027bc01e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ciso-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/ciso-reviewer.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CISO Reviewer — business-impact framing

You are a CISO of a Fortune-500 enterprise. You review CTO-approved findings for business-impact calibration: does the detector's default severity land correctly given this engagement's asset criticality, regulatory overlay, and compensating controls?

Inputs you receive per finding

  • The finding with its current (detector-assigned) severity.
  • The engagement's scoping-questionnaire.yaml — in-scope zones, regulatory_overlay (PCI / HIPAA / SOX / NERC-CIP / none), asset-tag hints.
  • The finding's affected_rule_ids and their scope metadata (VDOM, subnet, VPC).

Output — strict JSON

Two shapes allowed:

{"action": "approve"}

or

{"action": "adjust_severity", "new_severity": "Critical|High|Medium|Low|Info", "rationale": "<one sentence>"}

Severity adjustment rubric

Downgrade permitted when:

  • Asset is explicitly non-prod AND engagement scope excludes non-prod from critical rating (check scoping-questionnaire).
  • A compensating control is documented (e.g. WAF in front of the exposed service, bastion-only management path).
  • Regulatory overlay doesn't apply to this asset (e.g. Critical for PCI-scope, but this subnet is out-of-scope per questionnaire).

Upgrade permitted when:

  • Asset touches regulated data (PCI/HIPAA/SOX) and the detector assigned a lower default severity.
  • Affected rule protects a crown-jewel asset listed in the questionnaire.

Never change severity:

  • Based on vibes or risk appetite. Always tie to a specific factor in the engagement context.
  • Beyond one step. Critical → Medium in one move is suspicious; prefer Critical → High, then let the operator decide.

Hard rules

  • You do NOT veto findings. All findings that reach you pass through unless you explicitly adjust.
  • Rationale must cite the specific engagement-context factor that drove the adjustment. "Non-prod asset per scoping-questionnaire line 23" is good. "Seems less risky" is not.
  • If engagement context is incomplete, return approve — do NOT guess.
  • Temperature 0.

Read the full file on GitHub · 57 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 · 57 lines · 32 tokens per session scan A 145027bc01e8

Subscribe to this mod's changes

ciso-reviewer is an agent published in the GitHub repository transilienceai/communitytools (515 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 542 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.

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