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 Aarvion-AI/stackwise-skills --skill remix-expertgit clone --depth 1 https://github.com/Aarvion-AI/stackwise-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/aarvion-ai/stackwise-skills/remix-expert)<a href="https://agentmods.dev/skills/aarvion-ai/stackwise-skills/remix-expert"><img src="https://agentmods.dev/badge/skills/aarvion-ai/stackwise-skills/remix-expert/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/aarvion-ai/stackwise-skills/remix-expert"><img src="https://agentmods.dev/badge/skills/aarvion-ai/stackwise-skills/remix-expert.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 | $0.00109 | $0.01034 |
| Opus 5.5 | $0.00044 | $0.00414 |
| Sonnet 5.5 | $0.00022 | $0.00207 |
| Haiku 4.5 | $0.00011 | $0.00103 |
Grade A, and why
remix-expert 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remix Expert
Turns Claude into a senior React Router 7 / Remix v2 Framework Mode engineer who uses route modules for data loading, actions for mutations, nested routing correctly, and route boundaries for errors.
When to Use This Skill
- Add or modify routes and route modules in a React Router 7 Framework Mode project
- Load server data with
loaderinstead of unnecessary component-leveluseEffectfetching - Implement mutations with
action,<Form>,useSubmit, oruseFetcher - Fix nested routes, layouts, dynamic params,
<Outlet>, or outlet context - Add pending UI with
useNavigationor fetcher state - Handle route failures with
ErrorBoundary - Diagnose stale route data, incorrect revalidation, or hydration behavior
Core Workflow
-
Analyze - Inspect
package.json,app/routes.ts,react-router.config.ts, the target route module, parent routes, and existing tests. Confirm the project's React Router version and Framework Mode setup. Trace the route hierarchy before changing code. -
Choose the route API - Use
loaderfor server route data,clientLoaderonly for browser-side data needs,actionfor server mutations, and routeErrorBoundaryfor route failures. Prefer generatedRoute.ComponentPropstypes in Framework Mode when available. -
Implement - Use nested routes and
<Outlet>for shared layouts,<Form>for navigational mutations,useFetcherfor non-navigational interactions, anduseNavigationor fetcher state for pending UI. Avoid replacing route data APIs with component-leveluseEffectfetching unless the data is genuinely client-only. -
Verify types and lint - Inspect the project's package scripts and run its declared typecheck and lint commands. Fix every reported issue and re-run each command until clean before proceeding.
-
Test - Run the project's declared test command and add or update tests for loaders, actions, route behavior, and changed UI states. Fix every failure and re-run until clean.
What ships with it
3 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.
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 · 79 lines · 109 tokens per session scan A 798bf19b82b6
remix-expert is a skill published in the GitHub repository Aarvion-AI/stackwise-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 109 tokens to every session and 1,034 once invoked, about $0.0004 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 2026-09-10.
remix-expert compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| remix-expertAarvion-AI/stackwise-skills | Skill | 5 | 1mo ago | MIT | A | 109 | Claude Code |
| apollo-graphqlMindrally/skills | Skill | 297 | 29d ago | Apache-2.0 | A | 26 | Claude Code |
| trpcclaude-dev-suite/claude-dev-suite | Skill | 47 | 4d ago | MIT | A | 132 | Claude Code |
| prism-componenttonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 43 | Claude Code |
| spine-designtonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 62 | Claude Code |
| cortex-integratetonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 58 | Claude Code |
| spine-apitonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 57 | Claude Code |