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.
npx agentmods add commands/ashikparvez89/larouex-fullstack-plugin/review-before-deploygit clone --depth 1 https://github.com/Ashikparvez89/larouex-fullstack-pluginWrote 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/commands/ashikparvez89/larouex-fullstack-plugin/review-before-deploy)<a href="https://agentmods.dev/commands/ashikparvez89/larouex-fullstack-plugin/review-before-deploy"><img src="https://agentmods.dev/badge/commands/ashikparvez89/larouex-fullstack-plugin/review-before-deploy.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00160 |
| Opus 5 | $0.00000 | $0.00080 |
| Sonnet 5 | $0.00000 | $0.00032 |
| Haiku 4.5 | $0.00000 | $0.00016 |
Grade A, and why
review-before-deploy 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 yesterday.
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.
This is a copy
100% identical to review-before-deploy — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Execute comprehensive pre-deployment review using code-review-agent with all relevant platform agents. Run complete deployment readiness checklist: verify all tests pass (unit, integration, E2E), security audit clean (no Critical/High issues), performance benchmarks met (Lighthouse > 90), TypeScript compilation successful, ESLint clean, accessibility compliance (WCAG 2.1 AA), documentation updated, environment variables configured, database migrations tested, rollback plan documented, monitoring configured (Application Insights or Railway logs), error tracking enabled, staging environment validated, and browser compatibility verified. Check platform-specific deployment requirements (Azure staticwebapp.config.json or Railway railway.toml/Dockerfile). Provide GO/NO-GO recommendation with justification. Output critical blockers that must be resolved before production deployment. Require manual confirmation to proceed.
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.
- yesterday First seen · 2 lines · 0 tokens per session scan A a8f3169e25f5
review-before-deploy is a command published in the GitHub repository Ashikparvez89/larouex-fullstack-plugin (3 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 160 tokens. A static security scan graded it A with 0 findings. It is 100% identical to review-before-deploy, differing in 0 lines, and is treated as a copy.
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review-before-deploy
Execute comprehensive pre-deployment review using code-review-agent with all relevant platform agents. Run complete deployment readiness checklist: verify all tests pass (unit, integration, E2E), security audit clean (no Critical/High issues), performance benchmarks met (Lighthouse > 90), TypeScript compilation…