agentmods.dev

RAI Reviewer

RAI Reviewer is an agent for Claude Code from Peter-N91/hve-squad-mcp. It costs 37 tokens per session (1,790 once invoked), scanned A, original, MIT.

An agent that coordinates a responsible-AI review of a codebase or plan against standards such as the NIST AI Risk Management Framework, an AI security checklist, and the EU AI Act. It delegates profiling, framework checks, verification, and report writing to other agents.

In plain words
What is it for?
Profiling a project for AI-related signals, assessing applicable standards, reviewing failed or partial findings, and producing an audit, difference, or planning report.
Why use it?
It organizes a multi-step review so findings are checked before they appear in a consolidated report. This helps identify responsible-AI risks without requiring one person to coordinate each framework assessment manually.

Agent for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents.

not rated 3repo changed 22d ago A scan 37 tokens original MIT

Good fit Profiling a project for AI-related signals, assessing applicable standards, reviewing failed or partial findings, and producing an audit, difference, or planning report.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/peter-n91/hve-squad-mcp/rai-reviewer
View source ↗ Peter-N91/hve-squad-mcp
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/Peter-N91/hve-squad-mcp

Made for: Claude Code.

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 RAI Reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/rai-reviewer/github.svg)](https://agentmods.dev/agents/peter-n91/hve-squad-mcp/rai-reviewer)
Your own site
<a href="https://agentmods.dev/agents/peter-n91/hve-squad-mcp/rai-reviewer"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/rai-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 RAI Reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/peter-n91/hve-squad-mcp/rai-reviewer"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/rai-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,790 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 $0.00037 $0.01790
Opus 5.5 $0.00015 $0.00716
Sonnet 5.5 $0.00007 $0.00358
Haiku 4.5 $0.00004 $0.00179

Measured 22d ago against content hash 3366049394dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

RAI 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 22d 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.

host/cast/.github/agents/rai-reviewer.agent.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RAI Reviewer

Orchestrate Responsible AI assessment by delegating to subagents. Profile the codebase, assess applicable RAI frameworks from the rai-standards skill, verify findings through adversarial review, and generate a consolidated report.

Purpose

  • Delegate codebase profiling to Codebase Profiler to identify AI technology signals and applicable RAI frameworks.
  • Delegate each framework assessment to a separate RAI Skill Assessor invocation.
  • Invoke one Finding Deep Verifier per framework for all FAIL and PARTIAL findings in a single call.
  • Delegate report generation to Report Generator with only verified findings.

Inputs

  • (Optional) Mode: audit, diff, or plan. Defaults to audit when not specified.
  • (Optional) Subdirectory or path focus for scanning specific areas of the codebase.
  • (Optional) Specific frameworks list to override automatic framework detection from profiling. The profiler still runs to supply codebase context, but framework selection uses the provided list instead of the profiler's recommendations. Accepts multiple frameworks as a comma-separated list.
  • (Optional) Target framework: a single RAI framework name (for example, nist-ai-rmf-govern, ai-stride). Fast-path that bypasses codebase profiling entirely and uses only this framework for assessment.
  • (Optional) Prior scan report path for incremental comparison.
  • (Optional) Changed files list, populated automatically during diff mode setup.
  • (Optional) Plan document path or content for plan mode analysis.

Orchestrator Constants

Report directory: .copilot-tracking/rai-reviews

Report path pattern (audit): .copilot-tracking/rai-reviews/{{YYYY-MM-DD}}/rai-report-{{REPO}}-{{YYYYMMDD}}.md

Report path pattern (diff): .copilot-tracking/rai-reviews/{{YYYY-MM-DD}}/rai-report-diff-{{REPO}}-{{YYYYMMDD}}.md

Report path pattern (plan): .copilot-tracking/rai-reviews/{{YYYY-MM-DD}}/rai-plan-assessment-{{REPO}}-{{YYYYMMDD}}.md

RAI collision resolution: The active-mode base path is unsuffixed. If it is occupied, append -2, then the lowest available integer -N, immediately before .md, as defined by Report Formats. Resolve an available path before dispatching Report Generator.

Read the full file on GitHub · 126 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. 22d ago Changed 3366049394dc
  2. 1mo ago Changed · -1 lines 501de2d1baf7
  3. 1mo ago First seen · 127 lines · 37 tokens per session scan A 137dc05db34d

Subscribe to this mod's changes

RAI Reviewer is an agent published in the GitHub repository Peter-N91/hve-squad-mcp (3 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 1,790 once invoked, about $0.0001 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 2026-08-31.

Legal and complianceSecurity
Related

Other agents, from other repositories

scope

IP strategy — trademark clearance, patent landscape, open source license compliance, IP assignment.

tonone-ai/tonone · 18 tokens

vigilante-permisos

Monitoriza permisos, excedencias e incapacidades temporales activas, alertando sobre fechas de retorno y acciones pendientes.

betobetico/claude-para-abogados · 30 tokens

cumplimiento-registral

Monitoriza las obligaciones de cumplimiento registral y societario, alertando sobre plazos próximos como cuentas anuales, libros y renovación de cargos.

betobetico/claude-para-abogados · 35 tokens

patent-mapper

Patent, trademark, and copyright mapper. Systematically classifies IP assets and maps registration status, rights scope, and family relationships to generate a manageable IP map.

revfactory/harness-100 · 37 tokens

security-engineer

Security scanning, vulnerability assessment, threat modeling, and compliance review. Modes: scan (OWASP/CVE), threat-model (STRIDE analysis), compliance (GDPR/SOC2).

ilyasibrahim/claude-agents-coordination · 41 tokens

halal-certification-specialist

Halal certification requirement analysis and certification process specialist for co-export. Determines whether a destination market requires or strongly prefers halal certification for a given product category, identifies which certification body's mark is recognized in that market, and defines the…

5throck/ai-workspace-standards · 81 tokens