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 pjt222/agent-almanac --skill catalog-collectiongit clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/catalog-collection)<a href="https://agentmods.dev/skills/pjt222/agent-almanac/catalog-collection"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/catalog-collection/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/pjt222/agent-almanac/catalog-collection"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/catalog-collection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00099 | $0.02796 |
| Opus 5 | $0.00049 | $0.01398 |
| Sonnet 5 | $0.00020 | $0.00559 |
| Haiku 4.5 | $0.00010 | $0.00280 |
Grade A, and why
catalog-collection 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 7d 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 — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Catalog Collection
Catalog and classify library or archival materials using standard classification systems and descriptive cataloging practices.
When to Use
- You are organizing a personal, institutional, or community library from scratch
- You need to assign call numbers and subject headings to new acquisitions
- You want to create consistent catalog records for findability
- You are reclassifying a collection that has outgrown its original system
- You need to establish authority control for authors, series, or subjects
Inputs
- Required: Materials to catalog (books, serials, media, archival items)
- Required: Chosen classification system (Dewey Decimal or Library of Congress)
- Optional: Existing catalog or inventory to integrate with
- Optional: Subject heading authority (LCSH, Sears, or custom thesaurus)
- Optional: MARC-compatible cataloging software (Koha, Evergreen, LibraryThing)
Procedure
Step 1: Choose the Classification System
Select a system that matches the collection's size, scope, and audience.
Classification System Comparison:
+----------------------------+-------------------------------+-------------------------------+
| Criterion | Dewey Decimal (DDC) | Library of Congress (LCC) |
+----------------------------+-------------------------------+-------------------------------+
| Best for | Public/school libraries, | Academic/research libraries, |
| | personal collections <10K | collections >10K volumes |
+----------------------------+-------------------------------+-------------------------------+
| Structure | 10 main classes (000-999), | 21 letter classes (A-Z), |
| | decimal subdivision | alphanumeric subdivision |
+----------------------------+-------------------------------+-------------------------------+
| Granularity | Broad at top levels, | Very specific; designed for |
| | expandable via decimals | research-level distinction |
+----------------------------+-------------------------------+-------------------------------+
| Learning curve | Moderate — intuitive | Steeper — requires schedules |
| | decimal logic | and tables |
+----------------------------+-------------------------------+-------------------------------+
| Browsability | Excellent for general | Excellent for subject-deep |
| | browsing | collections |
+----------------------------+-------------------------------+-------------------------------+
Decision Rule:
- Personal or small community library: DDC
- Academic, research, or large institutional: LCC
- Mixed or uncertain: Start with DDC; migrate to LCC if collection exceeds 10K
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.
- 7d ago First seen · 298 lines · 99 tokens per session scan A 957f8035f487
catalog-collection is a skill published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 2,796 once invoked, about $0.0005 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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