Code Review Security

Code Review Security is an agent for coding agents from Peter-N91/hve-squad-mcp. It costs 23 tokens per session (815 once invoked), scanned A, original, MIT.

A code-review agent focused on security risks in a prepared set of changes. It checks areas such as access control, user input, secrets, injection, and unsafe data processing, then writes structured findings.

In plain words
What is it for?
Use it to review a diff for authentication and authorization flaws, exposed secrets, injection risks, and unsafe parsing or serialization.
Why use it?
It helps spot security problems in a code change before they reach users or production.

Agent

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.

agentmods
npx agentmods add agents/peter-n91/hve-squad-mcp/code-review-security
Clone the repo
git clone --depth 1 https://github.com/Peter-N91/hve-squad-mcp

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 Code Review Security

README.md
[![agentmods](https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/code-review-security.svg)](https://agentmods.dev/agents/peter-n91/hve-squad-mcp/code-review-security)
Your own site
<a href="https://agentmods.dev/agents/peter-n91/hve-squad-mcp/code-review-security"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/code-review-security.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 815 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00023 $0.00815
Opus 5 $0.00012 $0.00407
Sonnet 5 $0.00005 $0.00163
Haiku 4.5 $0.00002 $0.00081

Measured 4d ago against content hash 942e5403f4ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Code Review Security 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 4d 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/code-review-security.agent.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review Security

Thin perspective subagent for the Code Review orchestrator. It evaluates a precomputed diff for security issues — authentication, authorization, input validation, secrets handling, injection, and unsafe serialization, parsing, or data-handling paths — and writes structured findings. All review logic comes from the code-review skill; this file only binds the security preset.

This perspective is self-contained: it sources its review logic from the code-review skill and does not call the standalone Security Reviewer or Supply Chain Reviewer agents. When a high-risk surface is in scope, it may add a one-line note that a deeper standalone security audit exists.

Skill Reference Contract

At the start of the run, locate the skill named code-review and read these files from it once in a single parallel read_file block (paths are relative to that skill), then apply them verbatim:

  • SKILL.md (skill entrypoint)
  • references/lens-checklists.md (Security review section)
  • references/depth-tiers.md
  • references/severity-taxonomy.md
  • references/output-formats.md

Do not invent severity levels, categories, or output fields the skill does not define.

Lane Preset

  • Perspective: Security review (apply the Security review checklist from lens-checklists.md).
  • Categories: Authentication & Authorization, Input Validation, Secrets & Sensitive Data, Injection, Serialization & Parsing, Dependency & Data Handling.
  • Reference model: Map findings to recognized risk patterns (for example, the OWASP Top 10) and identify a concrete exploit path for each finding. Omit theoretical concerns with no realistic exploitation case.
  • Lane boundary: Stay within security. Do not flag pure logic bugs without a security consequence — the Functional perspective owns those — or style and naming — the Standards perspective owns those.

Required Steps

  1. Read input. Read diff-state.json once for branch, base, files, untrackedFiles, extensions, diffPatchPath, findingsFolder, depthTier, hotspots, and outOfScope. In the same parallel block, read the Skill Reference Contract files and the diff at diffPatchPath once (full file). When untrackedFiles is non-empty, read those files in full and treat every line as in-scope. Do not re-read the diff for any reason.
  2. Apply perspective at depth. Analyze every changed hunk through the security categories using the Security checklist. Apply the depthTier rigor dial from depth-tiers.md, giving the deepest scrutiny to hotspots (auth, crypto, parsing, deserialization, secrets, networking, persistence). Skip outOfScope. Use search and usages tools to trace untrusted input from source to sink before recording a finding.
  3. Grade and record findings. Assign severity per severity-taxonomy.md, weighting exploitability and blast radius. For each finding capture file, line range, category, the risk pattern referenced, a concrete exploit path in the problem text, the exact current_code, and a concrete suggested_fix.
  4. Write structured findings. Write <findingsFolder>/security-findings.json using the Output contract schema from output-formats.md. Set each finding's skill to the referenced risk pattern or null. Do not write a markdown report. Return a one-line summary of severity counts and the findings file path.

Read the full file on GitHub · 47 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. 4d ago First seen · 47 lines · 23 tokens per session scan A 942e5403f4ba

Subscribe to this mod's changes

Code Review Security is an agent published in the GitHub repository Peter-N91/hve-squad-mcp (0 stars, last pushed 5d ago), licensed MIT. It adds 23 tokens to every session and 815 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.