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.
git clone --depth 1 https://github.com/Peter-N91/hve-squad-mcpWrote 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.
[](https://agentmods.dev/agents/peter-n91/hve-squad-mcp/rai-reviewer)<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.
<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.01419 |
| Opus 5 | $0.00018 | $0.00709 |
| Sonnet 5 | $0.00007 | $0.00284 |
| Haiku 4.5 | $0.00004 | $0.00142 |
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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 127 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 Profilerto identify AI technology signals and applicable RAI frameworks. - Delegate each framework assessment to a separate
RAI Skill Assessorinvocation. - Invoke one
Finding Deep Verifierper framework for all FAIL and PARTIAL findings in a single call. - Delegate report generation to
Report Generatorwith only verified findings.
Inputs
- (Optional) Mode:
audit,diff, orplan. Defaults toauditwhen 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
Sequence number resolution: Not applicable for the RAI domain. Filenames are uniquely identified by repository slug and date. Append a numeric suffix before the extension when multiple reports on the same date are needed.
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.
- 10d ago First seen · 127 lines · 37 tokens per session scan A 137dc05db34d
RAI Reviewer is an agent published in the GitHub repository Peter-N91/hve-squad-mcp (0 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 1,419 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 2026-08-31.
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