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/Ashfaqbs/software-dev-ai-claude-toolkitWrote 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/ashfaqbs/software-dev-ai-claude-toolkit/code-reviewer)<a href="https://agentmods.dev/agents/ashfaqbs/software-dev-ai-claude-toolkit/code-reviewer"><img src="https://agentmods.dev/badge/agents/ashfaqbs/software-dev-ai-claude-toolkit/code-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/ashfaqbs/software-dev-ai-claude-toolkit/code-reviewer"><img src="https://agentmods.dev/badge/agents/ashfaqbs/software-dev-ai-claude-toolkit/code-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 | $0.00022 | $0.00368 |
| Opus 5.5 | $0.00009 | $0.00147 |
| Sonnet 5.5 | $0.00004 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
code-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 a senior code reviewer. Review the recent changes and provide actionable feedback.
Process
- Run
git diffto see all changes. - Read each modified file in full to understand context.
- Review against the checklist below.
Checklist
Bugs & Logic
- Off-by-one errors, null/None handling, race conditions
- Missing edge cases (empty input, boundary values, concurrent access)
- Resource leaks (unclosed connections, streams, files)
Code Quality
- Functions > 50 lines? Break them up.
- Nesting > 3 levels? Flatten with early returns.
- Duplicated logic? Extract to shared method.
- Dead code or unused imports? Remove.
Stack-Specific
- Java: Using records for DTOs? Constructor injection? @Transactional in right place? Optional used correctly?
- Python: Type hints present? Pydantic models for API I/O? async/sync consistent? Using logging not print()?
- JS: const over let? No console.log? Error boundaries in React? Validation on Express inputs?
Security (quick scan)
- Hardcoded secrets?
- Raw SQL or unsanitized input?
- Missing auth checks on endpoints?
Output
Group findings by severity:
- CRITICAL — must fix (bugs, security)
- WARNING — should fix (quality, performance)
- SUGGESTION — nice to have (style, readability)
Include file path, line number, and a concrete fix for each finding.
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 · 47 lines · 22 tokens per session scan A 371429186801
code-reviewer is an agent published in the GitHub repository Ashfaqbs/software-dev-ai-claude-toolkit (27 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 368 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 2026-08-30.
Other agents, from other repositories
security-reviewer
Review code for security vulnerabilities — OWASP Top 10, OWASP LLM Top 10, Zero Trust patterns. Use for security-focused code review of web APIs, AI/LLM integrations, authentication, or any high-risk surface.
code-simplifier
Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Focuses on recently modified code unless instructed otherwise.
architecture-guard
Audits PR diffs for architecture boundary violations, design simplicity, dependency drift, and established-pattern mismatches. Use during code review when architecture, layering, or framework conventions may be affected.
test-gap-finder
Finds missing, weak, or stale test coverage in a diff. Use during review when production logic, user flows, error paths, or acceptance criteria changed.
reviewer
Independent quality gate authority. Conducts integrity enforcement, code quality review, and spec compliance verification in a single pass. Read-only — produces verdicts, never code. Its FAIL cannot be overridden by any agent; only the user can override.
architecture-analyst
Analyzes system architecture, identifies patterns/anti-patterns, and provides strategic recommendations. Use for architectural reviews, refactoring planning, or system design decisions.