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 lisbeth718/pseo-skills --skill pseo-linkinggit clone --depth 1 https://github.com/lisbeth718/pseo-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/lisbeth718/pseo-skills/pseo-linking)<a href="https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-linking"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-linking/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/lisbeth718/pseo-skills/pseo-linking"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-linking.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 | $0.00055 | $0.03715 |
| Opus 5.5 | $0.00022 | $0.01486 |
| Sonnet 5.5 | $0.00011 | $0.00743 |
| Haiku 4.5 | $0.00006 | $0.00371 |
Grade B, and why
pseo-linking scanned grade B with 1 finding 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 9d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
const res = await fetch("https://api.indexnow.org/indexnow", { method: "POST", How it starts
The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pSEO Internal Linking
Scope parameter
| Value | Sections |
|---|---|
breadcrumbs |
1 |
related |
2, 4 |
hubs |
3, 5 |
sitemap |
6 (including pushing URLs) |
facets |
6, "Faceted Navigation, Empty Combinations and Internal Search" |
redirects |
7 |
robots |
8, 9 |
all |
everything |
Build an internal linking system that creates strong topical authority, distributes link equity, and ensures every page is discoverable.
Core Principles
- Hub-and-spoke architecture: Category hubs link to all child pages; child pages link back to their hub
- Topical clustering: Pages within the same topic cluster interlink
- Every page reachable: No orphan pages - every page is linked from at least 2 other pages
- Crawl depth <= 3: Any page reachable within 3 clicks from the homepage
- Descriptive anchor text: Link text describes the target page, not generic "click here"
Architecture
Homepage
├── Category Hub A ──→ Page A1, A2, A3, ...
│ ├── Page A1 ──→ Hub A, A2, A3 (related)
│ ├── Page A2 ──→ Hub A, A1, A3 (related)
│ └── Page A3 ──→ Hub A, A1, A2 (related)
├── Category Hub B ──→ Page B1, B2, B3, ...
│ └── ...
└── Sitemap (links all hubs)
Implementation Steps
1. Breadcrumb Navigation
Build a breadcrumb component that:
- Renders the full path: Home > Category > Current Page
- Uses semantic HTML (
<nav>with<ol>) - Generates BreadcrumbList schema markup (coordinate with pseo-schema)
- Appears on every pSEO page
interface BreadcrumbItem {
label: string;
href: string;
}
function Breadcrumbs({ items }: { items: BreadcrumbItem[] }) {
return (
<nav aria-label="Breadcrumb">
<ol>
{items.map((item, i) => (
<li key={item.href}>
{i < items.length - 1 ? (
<a href={item.href}>{item.label}</a>
) : (
<span aria-current="page">{item.label}</span>
)}
</li>
))}
</ol>
</nav>
);
}
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.
- 9d ago Changed · +51 lines scan A → B ef4d07de0aab
- 26d ago Changed · +67 lines 1756f03a3fe9
- 2mo ago First seen · 212 lines · 55 tokens per session scan A 17dcf3468baa
pseo-linking is a skill published in the GitHub repository lisbeth718/pseo-skills (55 stars, last pushed 9d ago), licensed MIT. It adds 55 tokens to every session and 3,715 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (sends data to an external url). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
pseo-linking compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pseo-linkinglisbeth718/pseo-skills | Skill | 55 | 9d ago | MIT | B | 55 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |