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/code-review-security)<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/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/code-review-security"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/code-review-security.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 | $0.00023 | $0.00846 |
| Opus 5.5 | $0.00009 | $0.00338 |
| Sonnet 5.5 | $0.00005 | $0.00169 |
| Haiku 4.5 | $0.00002 | $0.00085 |
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 1mo 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 — 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 SSSC 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.mdreferences/severity-taxonomy.mdreferences/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
- Read input. Read
diff-state.jsononce fortask,reviewTarget,reviewProfile,branch,base,files,untrackedFiles,extensions,diffPatchPath,findingsFolder,depthTier,hotspots, andoutOfScope. Requiretask.kindto equalperspective_batchand resolve the output path fromtask.outputs.security. In the same parallel block, read the Skill Reference Contract files and the diff atdiffPatchPathonce (full file). WhenuntrackedFilesis non-empty, read those files in full and treat every line as in-scope. Do not re-read the diff for any reason. - Apply perspective at depth. Analyze every changed hunk through the security categories using the Security checklist. Apply the
depthTierrigor dial from depth-tiers.md, giving the deepest scrutiny tohotspots(auth, crypto, parsing, deserialization, secrets, networking, persistence). SkipoutOfScope. Use search and usages tools to trace untrusted input from source to sink before recording a finding. - 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 concretesuggested_fix. - Write structured findings. Write to
task.outputs.securityusing the Output contract schema from output-formats.md. Set each finding'sskillto the referenced risk pattern ornull. Do not write a markdown report. Return a one-line summary of severity counts and the exact findings file path.
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.
- 1mo ago Changed edfadccaf36f
- 1mo ago First seen · 47 lines · 23 tokens per session scan A 942e5403f4ba
Code Review Security is an agent published in the GitHub repository Peter-N91/hve-squad-mcp (3 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 846 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.
Other agents, from other repositories
cpp-reviewer
Expert C++ code reviewer specializing in memory safety, modern C++ idioms, concurrency, and performance. Use for all C++ code changes. MUST BE USED for C++ projects.
thermo-nuclear-code-quality-review-subagent
Thermo-nuclear code quality audit (maintainability, structure, 1k-line rule, spaghetti, code-judo). Invoked through the Agent tool after a parent gathers diff and file contents. Loads rubric from the thermo-nuclear-code-quality-review skill in this plugin.
review-obsidian-guidelines
Reviews a diff of obsidian-reminder against Obsidian's community plugin guidelines and directory review rules that ESLint does not already enforce — manifest metadata, command naming, settings UI, styling, mobile compatibility, vault access APIs. Used by the pr-review workflow; read-only.
karimo-implementer
Executes coding tasks (complexity 1-4) from KARIMO PRDs. Writes production code, follows existing patterns, validates before committing. Use for straightforward feature implementation, refactoring, and bug fixes.
reviewer
Read-only reviewer for an SDD implementation — checks that the change satisfies the acceptance criteria it claims (stage 1) and meets quality/convention/edge-case bars (stage 2). Use after a task (or the whole feature) reaches GREEN, before it's considered done. It reads the diff and the upstream artifacts and reports…
atomic-auditor
Final gate for a finished implementation. Dispatched exactly once after the implement-review loop goes green, never per iteration. Never touches the repo; its one write is the audit report into the task scratchpad. Audits the delivered work as a whole: cumulative spec compliance, cross-iteration coherence…