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 skills add gohypergiant/agent-skills --skill accelint-nextjs-best-practicesgit clone --depth 1 https://github.com/gohypergiant/agent-skillsWrote 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/skills/gohypergiant/agent-skills/accelint-nextjs-best-practices)<a href="https://agentmods.dev/skills/gohypergiant/agent-skills/accelint-nextjs-best-practices"><img src="https://agentmods.dev/badge/skills/gohypergiant/agent-skills/accelint-nextjs-best-practices/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/skills/gohypergiant/agent-skills/accelint-nextjs-best-practices"><img src="https://agentmods.dev/badge/skills/gohypergiant/agent-skills/accelint-nextjs-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00085 | $0.01787 |
| Opus 5 | $0.00043 | $0.00894 |
| Sonnet 5 | $0.00017 | $0.00357 |
| Haiku 4.5 | $0.00009 | $0.00179 |
Grade A, and why
accelint-nextjs-best-practices 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 12d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Next.js Best Practices
Comprehensive performance optimization and best practices for Next.js applications, designed for AI agents and LLMs working with Next.js code.
When to Activate This Skill
Use this skill when the task involves:
Writing Next.js Code
- Creating Server Components or Client Components
- Implementing Server Actions with
"use server" - Writing API route handlers
- Setting up data fetching in RSC (React Server Components)
- Implementing Suspense boundaries
- Using Next.js-specific APIs (
headers(),cookies(),after())
Refactoring Next.js Code
- Optimizing server-side data fetching
- Reducing RSC serialization overhead
- Converting sequential to parallel operations
- Restructuring component composition for better performance
- Migrating between Server and Client Components
Performance Optimization
- Eliminating server-side waterfalls
- Reducing response times in API routes and Server Actions
- Minimizing data transfer at RSC boundaries
- Implementing request deduplication with
React.cache() - Using
after()for non-blocking operations
Next.js-Specific Issues
- Authentication/authorization in Server Actions
- RSC serialization duplication problems
- Import optimization (barrel file issues)
- Server vs Client Component decision-making
- Parallel data fetching patterns
Code Review
- Reviewing Next.js code for performance anti-patterns
- Identifying security issues in Server Actions
- Checking proper Server/Client Component boundaries
- Ensuring proper authentication patterns
- Validating Suspense boundary placement
When NOT to Use This Skill
Do not activate for:
- React-specific optimizations (use
accelint-react-best-practicesskill) - Build configuration (webpack, turbopack) unless Next.js-specific
- General TypeScript/JavaScript questions (use
accelint-ts-best-practicesskill) - Deployment/hosting configuration
- Testing setup (use
accelint-ts-testingskill)
Example Trigger Phrases
This skill should activate when users say things like:
What ships with it
20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- AGENTS.md 7.9 KB
- assets/output-report-template.md 8.8 KB
- README.md 5.4 KB
- references/avoid-barrel-imports.md 2.6 KB
- references/avoid-duplicate-serialization.md 3.1 KB
- references/compound-patterns.md 13 KB
- references/minimize-serialization.md 2.0 KB
- references/parallel-data-fetching.md 2.1 KB
- references/parallelize-independent-operations.md 2.2 KB
- references/prevent-waterfall-chains.md 3.8 KB
- references/quick-checklist.md 7.1 KB
- references/react-cache-deduplication.md 6.7 KB
- references/server-actions-security.md 4.8 KB
- references/server-vs-client-component.md 5.1 KB
- references/strategic-suspense-boundaries.md 6.4 KB
- references/use-after-non-blocking.md 2.7 KB
- scripts/check-server-actions-auth.sh 1.2 KB runs code
- scripts/detect-barrel-imports.sh 1.2 KB runs code
- scripts/find-waterfall-chains.sh 1.2 KB runs code
- scripts/README.md 4.5 KB
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.
- 12d ago First seen · 199 lines · 85 tokens per session scan A 3d291fe11c7f
accelint-nextjs-best-practices is a skill published in the GitHub repository gohypergiant/agent-skills (24 stars, last pushed 2d ago), licensed Apache-2.0. It adds 85 tokens to every session and 1,787 once invoked, about $0.0004 per session on Opus 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.
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