Borrowing it
Nothing to install: this file belongs to brucemcpherson/gas-fakes. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/brucemcpherson/gas-fakes/main/.agents/skills/gassypedia-database/SKILL.mdgit clone --depth 1 https://github.com/brucemcpherson/gas-fakesWrote 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/brucemcpherson/gas-fakes/gassypedia-database)<a href="https://agentmods.dev/skills/brucemcpherson/gas-fakes/gassypedia-database"><img src="https://agentmods.dev/badge/skills/brucemcpherson/gas-fakes/gassypedia-database/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/brucemcpherson/gas-fakes/gassypedia-database"><img src="https://agentmods.dev/badge/skills/brucemcpherson/gas-fakes/gassypedia-database.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 | $0.00055 | $0.02247 |
| Opus 5 | $0.00028 | $0.01123 |
| Sonnet 5 | $0.00011 | $0.00449 |
| Haiku 4.5 | $0.00006 | $0.00225 |
Grade A, and why
gassypedia-database 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 10d 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📚 Gassypedia Database Skill Reference
The gassypedia-database skill provides complete context, schema definitions, and query patterns to translate natural language requests into efficient BigQuery SQL.
🌐 Overview: What is Gassypedia?
The Gassypedia dataset is a comprehensive analytical snapshot of Google Apps Script (GAS) projects. It aggregates metadata from various sources, primarily GitHub repositories, to provide deep insights into how GAS projects are developed, hosted, and utilized.
The data tracks:
- Repositories (
repos): The GitHub hosts for the GAS projects. - Files (
files): Individual script files within those repositories. - Owners (
owners): The GitHub users who own the repositories. - Loads (
loads): Temporal snapshots of the entire dataset, allowing for time-series analysis.
The core of this skill is the big_join view, which performs complex joins across these underlying tables to create a single, highly denormalized record for every analyzed file, enriched with metadata from its owner, repository, and associated libraries.
🛠️ Core Schema: scrmin.gassypedia.big_join
The big_join view is the primary target for all analytical queries. It is a complex view designed to flatten the relationships between files, repositories, and owners into a single, powerful record.
📊 View Structure Definition
| Field Name | Type | Description |
|---|---|---|
loadDate |
DATE |
The date of the data snapshot (when the data was loaded). |
libraryInfo |
STRUCT |
Metadata identifying the script acting as a library. |
ownerId |
INT64 |
The ID of the primary owner of the repository. |
ownerIsHireable |
BOOL |
Flag indicating if the owner is marked as hireable on GitHub. |
repoInfo |
STRUCT |
Detailed metadata about the repository itself. |
isAddon |
BOOL |
True if the file content indicates it is a Google Workspace Add-on. |
file |
STRUCT |
The raw metadata of the file itself (e.g., name, size, path). |
ownerInfo |
STRUCT |
Detailed profile information about the repository owner. |
addOnInfo |
STRUCT |
Structured metadata extracted from the file's Add-on configuration (if applicable). |
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.
- 10d ago First seen · 203 lines · 55 tokens per session scan A 4994770ed4b6
gassypedia-database is a skill published in the GitHub repository brucemcpherson/gas-fakes (79 stars, last pushed 3d ago), licensed MIT. It adds 55 tokens to every session and 2,247 once invoked, about $0.0003 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 2026-09-01.
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