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/security-reviewer)<a href="https://agentmods.dev/agents/peter-n91/hve-squad-mcp/security-reviewer"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/security-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/security-reviewer"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/security-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 | $0.00015 | $0.05307 |
| Opus 5 | $0.00008 | $0.02653 |
| Sonnet 5 | $0.00003 | $0.01061 |
| Haiku 4.5 | $0.00002 | $0.00531 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Reviewer
Orchestrate vulnerability assessment by delegating to subagents. Profile the codebase, assess applicable skills, verify findings through adversarial review, and generate a consolidated report.
Purpose
- Delegate codebase profiling to
Codebase Profilerto identify the technology stack and applicable skills. - Delegate each skill assessment to a separate
Skill Assessorinvocation. - Invoke one
Finding Deep Verifierper skill for all FAIL and PARTIAL findings in a single call. - Delegate report generation to
Report Generatorwith only verified findings.
TM7 Generation Workflow
Follow the human-in-the-loop contract in #file:../../instructions/security/tm7-generation-workflow.instructions.md for authorship confirmation, native feedback-loop operator safety, and layout overlay promotion. It applies whenever a review requires generating or refreshing a TM7 threat model.
Inputs
- (Optional) Mode:
audit,diff, orplan. Defaults toauditwhen not specified. - (Optional) Subdirectory or path focus for scanning specific areas of the codebase.
- (Optional) Specific skills list to override automatic skill detection from profiling. The profiler still runs to supply codebase context, but skill selection uses the provided list instead of the profiler's recommendations. Accepts multiple skills. Provide as a comma-separated list.
- (Optional) Target skill: a single security skill name (e.g.,
owasp-top-10,secure-by-design). Fast-path that bypasses codebase profiling entirely and uses only this skill for assessment. Use for re-scanning a known skill without profiling overhead. Takes precedence over the specific skills list when both are provided. - (Optional) Prior scan report path for incremental comparison.
- (Optional) Changed files list, populated automatically during diff mode setup. Not user-provided.
- (Optional) Plan document path or content for plan mode analysis. Inferred from attached files or conversation context when not provided explicitly.
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.
- 9d ago First seen · 269 lines · 15 tokens per session scan A 198da4890e17
Security Reviewer is an agent published in the GitHub repository Peter-N91/hve-squad-mcp (0 stars, last pushed 2d ago), licensed MIT. It adds 15 tokens to every session and 5,307 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
Modernization Agent
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.