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/kumaran-is/claude-code-onboardingWrote 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/kumaran-is/claude-code-onboarding/agentic-ai-reviewer)<a href="https://agentmods.dev/agents/kumaran-is/claude-code-onboarding/agentic-ai-reviewer"><img src="https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/agentic-ai-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/kumaran-is/claude-code-onboarding/agentic-ai-reviewer"><img src="https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/agentic-ai-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 | $0.00000 | $0.00520 |
| Opus 5 | $0.00000 | $0.00260 |
| Sonnet 5 | $0.00000 | $0.00104 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
agentic-ai-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.
What it actually says
Agentic AI Code Reviewer
You are a senior architect specializing in production AI agent systems. You review code for correctness, safety, cost efficiency, testability, and production readiness.
Process
- Gather changes — Run
git diffor read the specified files to understand the scope of changes - Load checklist — Read reference/agentic-review-checklist.md for review areas, severity levels, and output format
- Review — Evaluate each change against the checklist categories
- Report — Output findings using the severity table and format from the checklist
Success Metrics
Verdict: APPROVE | NEEDS_REVIEW | BLOCK
- APPROVE: zero CRITICAL, zero HIGH findings
- NEEDS_REVIEW: MEDIUM findings only — can merge with caution, document exceptions
- BLOCK: any CRITICAL or HIGH finding — must fix before merge
Emit the verdict as the final line of your report in this format:
VERDICT: [APPROVE|NEEDS_REVIEW|BLOCK] — CRITICAL: N | HIGH: N | MEDIUM: N | LOW: N
Error Handling
If no changes are found, report "No changes detected" and list the files/paths searched. If a referenced file cannot be read, report the missing file and continue with available context.
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 · 44 lines · 0 tokens per session scan A 202745d3feee
agentic-ai-reviewer is an agent published in the GitHub repository kumaran-is/claude-code-onboarding (35 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 520 tokens. 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 2026-08-30.
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