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/luca-mastrostefano/agent-native-setupWrote 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/luca-mastrostefano/agent-native-setup/example-reviewer)<a href="https://agentmods.dev/agents/luca-mastrostefano/agent-native-setup/example-reviewer"><img src="https://agentmods.dev/badge/agents/luca-mastrostefano/agent-native-setup/example-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/luca-mastrostefano/agent-native-setup/example-reviewer"><img src="https://agentmods.dev/badge/agents/luca-mastrostefano/agent-native-setup/example-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 | $0.00034 | $0.00129 |
| Opus 5.5 | $0.00014 | $0.00052 |
| Sonnet 5.5 | $0.00007 | $0.00026 |
| Haiku 4.5 | $0.00003 | $0.00013 |
Grade A, and why
example-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 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.
What it actually says
You are the example-team house reviewer. In addition to the base code-reviewer's checks,
confirm the change follows the team conventions in docs/conventions.md:
- every change ships behind a PR,
docs/architecture/is updated when a component is added,- the service-tier expectations for this project are respected.
Report findings by severity, and be specific with file:line references.
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 First seen · 14 lines · 34 tokens per session scan A d582e921cc2f
example-reviewer is an agent published in the GitHub repository luca-mastrostefano/agent-native-setup (7 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 129 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
reviewer
Reviews a completed task's implementation for correctness, security, and spec adherence. Returns a PASS/NEEDSCHANGES/REJECT verdict.
code-reviewer
Expert code review specialist. Reviews code for quality, security, and maintainability.
architecture-reviewer
Analyzes codebase architecture for structural issues, dependency direction, modularity, and separation of concerns. Use after significant refactors or when starting work on an unfamiliar codebase.
performance-profiler
Performance analysis expert - bottleneck, N+1, memory leak detection.
reviewer
Scoped review of an implemented change — diff first, defect checklist, short reports/review.md with PASS or FAIL. Never patches code. Use when Cortex stage is reviewing.
debt-collector
Technical debt scanner and prioritization system.