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-scalegit 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-scale)<a href="https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-scale"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-scale/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-scale"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-scale.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 | $0.00080 | $0.06275 |
| Opus 5.5 | $0.00032 | $0.02510 |
| Sonnet 5.5 | $0.00016 | $0.01255 |
| Haiku 4.5 | $0.00008 | $0.00628 |
Grade A, and why
pseo-scale 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 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.
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 — 536 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pSEO Scale Architecture
Scope parameter
| Value | Sections |
|---|---|
database |
1 |
gating |
2 |
enrichment |
3 |
validation |
4 |
crawl |
5 |
monitoring |
6 |
cdn |
7, 8 |
all |
everything |
Architect pSEO systems that work at 10K-100K+ pages. The patterns in the other pseo-* skills are correct at 1K-10K. Beyond 10K, in-memory data layers, full-corpus validation, and single-deploy rollouts break down. This skill provides the architecture changes needed at scale.
Scale Tiers
| Tier | Pages | Data Layer | Validation | Rollout | Sitemap |
|---|---|---|---|---|---|
| Tiny | < 100 | JSON/files, in-memory | Full pairwise | Single deploy | Single file |
| Small | 100-1K | JSON/files, in-memory | Full pairwise | 1-4 weeks in batches of 50-200 | Single file |
| Medium | 1K-10K | Files or DB, two-tier memory | Fingerprint-based | 4-8 weeks in batches | Index + children |
| Large | 10K-50K | Database required | Incremental + sampling | Category-by-category | Index + chunked |
| Very Large | 50K-100K+ | Database + cache layer | Delta-only + periodic full | ISR + sitemap waves | Index + streaming |
Rollout pacing in this table is an operational heuristic shared with pseo-performance, not a Google rule.
This skill focuses on the Large and Very Large tiers. If the project is under 10K pages, the standard pseo-* skills are sufficient.
1. Database-Backed Data Layer
At 10K+ pages, JSON files and in-memory arrays stop working. The data layer must move to a database with proper indexing.
Why In-Memory Breaks
Pages PageIndex in memory Full content (if loaded)
1K ~1MB ~100-500MB
10K ~10MB ~1-5GB (OOM)
50K ~50MB (borderline) ~5-25GB (impossible)
100K ~100MB ~10-50GB (impossible)
At 50K+, even holding all PageIndex records in memory is borderline. At 100K, getAllSlugs() returning an array of 100K objects takes ~100MB and seconds to deserialize. You need cursor-based iteration.
What ships with it
4 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.
- 9d ago Changed · -76 lines f783a04b6191
- 26d ago Changed · +32 lines c77cd2001124
- 2mo ago First seen · 580 lines · 80 tokens per session scan A 01d83e35e8be
pseo-scale is a skill published in the GitHub repository lisbeth718/pseo-skills (55 stars, last pushed 9d ago), licensed MIT. It adds 80 tokens to every session and 6,275 once invoked, about $0.0003 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 2026-08-30.
pseo-scale compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pseo-scalelisbeth718/pseo-skills | Skill | 55 | 9d ago | MIT | A | 80 | Claude Code |
| create-prprisma/orm | Skill | 48k | yesterday | Apache-2.0 | A | 48 | Claude Code, Codex |
| schema-explorationlangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 57 | Claude Code, Codex |
| atlas-mssqlariga/atlas | Skill | 8.8k | yesterday | Apache-2.0 | A | 163 | Claude Code |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |
| nornicdb-cypher-queriesorneryd/NornicDB | Skill | 923 | yesterday | MIT | A | 79 | Claude Code, Codex |
| volcengine-rds-postgresqlbytedance/agentkit-samples | Skill | 484 | today | Apache-2.0 | A | 63 | Claude Code, Codex |