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 armanzeroeight/fastagent-plugins --skill ssr-ssg-advisorgit clone --depth 1 https://github.com/armanzeroeight/fastagent-pluginsWrote 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/armanzeroeight/fastagent-plugins/ssr-ssg-advisor)<a href="https://agentmods.dev/skills/armanzeroeight/fastagent-plugins/ssr-ssg-advisor"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/ssr-ssg-advisor.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 134 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 137 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 142 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 179 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00076 | $0.02008 |
| Opus 5 | $0.00038 | $0.01004 |
| Sonnet 5 | $0.00015 | $0.00402 |
| Haiku 4.5 | $0.00008 | $0.00201 |
Grade A, and why
ssr-ssg-advisor 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 4d 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 — 339 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SSR/SSG Advisor
Choose the optimal rendering strategy for Next.js pages based on requirements.
Quick Start
Decision criteria:
- SSG: Static content, pre-render at build → Best performance
- ISR: Static with updates, revalidate periodically → Balance of both
- SSR: Dynamic per-request, personalized → Fresh data
- CSR: Client-side only, highly interactive → User-specific
Instructions
Step 1: Analyze Content Requirements
Ask these questions:
- Does content change per user? (personalization)
- How frequently does content update?
- Is SEO critical?
- What's the acceptable data freshness?
- How many pages need to be generated?
Step 2: Choose Rendering Strategy
Static Site Generation (SSG):
// pages/products/[id].tsx
export async function getStaticProps({ params }) {
const product = await fetchProduct(params.id);
return {
props: { product },
// Optional: revalidate for ISR
// revalidate: 60, // seconds
};
}
export async function getStaticPaths() {
const products = await fetchAllProducts();
return {
paths: products.map(p => ({ params: { id: p.id } })),
fallback: 'blocking', // or false, or true
};
}
When to use SSG:
- Marketing pages
- Blog posts
- Documentation
- Product catalogs (if manageable size)
- Any content that doesn't change often
Server-Side Rendering (SSR):
// pages/dashboard.tsx
export async function getServerSideProps(context) {
const session = await getSession(context);
const data = await fetchUserData(session.userId);
return {
props: { data },
};
}
When to use SSR:
- User dashboards
- Personalized content
- Real-time data
- Content requiring authentication
- Frequently changing data
Incremental Static Regeneration (ISR):
// pages/blog/[slug].tsx
export async function getStaticProps({ params }) {
const post = await fetchPost(params.slug);
return {
props: { post },
revalidate: 60, // Regenerate every 60 seconds
};
}
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.
- 4d ago First seen · 339 lines · 76 tokens per session scan A 983ef3d1b5b1
ssr-ssg-advisor is a skill published in the GitHub repository armanzeroeight/fastagent-plugins (29 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 2,008 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 2026-09-03.
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