knowledgelib-io: Instructions file for Gemini CLI

GEMINI.md

knowledgelib-io GEMINI.md is an instructions file for Gemini CLI from peterbeck111/knowledgelib-io. It costs 4,716 tokens per session, scanned A, original, MIT.

A set of project instructions for maintaining Knowledgelib.io, a library of structured, source-cited knowledge units for AI agents. It describes a workflow for finding topics and turning them into Markdown, HTML, and database records called cards.

In plain words
What is it for?
Use it to create one card, process a specific topic, create several cards in parallel, or process all pending topics in sequence.
Why use it?
It gives contributors a repeatable process for checking pending work, researching topics, and keeping the knowledge library and its tracking file updated.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions subagents; positional $N argument; mentions Claude Code.

This is peterbeck111/knowledgelib-io's own configuration. It tells Gemini CLI how to work on knowledgelib-io itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything knowledgelib-io configures →

Reuse

Borrowing it

Nothing to install: this file belongs to peterbeck111/knowledgelib-io. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/peterbeck111/knowledgelib-io/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/peterbeck111/knowledgelib-io

Made for: Gemini CLI.

Wrote 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.

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README.md
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<a href="https://agentmods.dev/instructions/peterbeck111/knowledgelib-io/gemini-md"><img src="https://agentmods.dev/badge/instructions/peterbeck111/knowledgelib-io/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 4,716 This file is loaded in full into every session.
When invoked 4,716 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.04716 $0.04716
Opus 5 $0.02358 $0.02358
Sonnet 5 $0.00943 $0.00943
Haiku 4.5 $0.00472 $0.00472

Measured 8d ago against content hash ddb6614c2309, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

knowledgelib-io GEMINI.md 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 8d 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.

GEMINI.md · 263 lines

How it starts

The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.

knowledgelib.io — Claude Code Instructions

What This Is

AI Knowledge Library — structured, cited knowledge units (markdown + YAML frontmatter) optimized for AI agent consumption. Pre-verified answers that save tokens, reduce hallucinations, and cite every source.

Core value: Token arbitrage — $0.02/query vs $0.50–$5.00 in agent compute.

Daily Workflow

Follow this three-step pipeline every session:

Step 1: Check the Pipeline

Read knowledge_pipeline/tracker.md and count pending cards.

  • If pending cards exist → go to Step 2.
  • If no pending cards → run /discover-topics to find 50 new topics, then go to Step 2.

Step 2: Create Cards

Use the skills based on how many cards to produce:

Goal Command What happens
One card /create-card Picks next pending topic, researches, creates .md + .html, inserts into DB, updates tracker
Specific topic /create-card --topic N Processes row N from tracker
N cards in parallel /create-card --count N Spawns N subagents, each processes one topic in parallel mode
All pending /create-card --batch Processes every pending topic sequentially

Each card creation:

  1. WebSearch + WebFetch 5–8 authoritative sources (RTINGS, Wirecutter, Tom's Guide, What Hi-Fi, PCMag, Reddit)
  2. Creates prototype/{category}/{subcategory}/{topic}/{version}.md from template
  3. Creates matching .html with viewport, OG, Twitter Card, all 11 ai:* meta tags, Schema.org Dataset (with creator) + BreadcrumbList JSON-LD. The HTML body must contain every section and all content from the .md file — see Content Parity rule below.
  4. Runs node db/insert_card.js to insert into Supabase (knowledge_cards + affiliate_links)
  5. Marks tracker row as done

Step 3: Reconcile, Deploy, Publish

After card creation is complete, run:

npm run publish

This executes three steps in sequence:

  1. npm run reconcile — regenerates catalog.json + sitemap.xml (with dynamic priority from pop_index) + index.html knowledge units section + .well-known/ai-knowledge.json + imports popular agent suggestions (>= 3 occurrences) to tracker.md + tracker stats from DB
  2. npm run deploy — pushes prototype/ to Cloudflare Pages (includes Functions: API + MCP). Always deploy to --project-name=knowledgelib-io.
  3. npm run indexnow:new — submits only new URLs to IndexNow (Bing, Google, Yandex)

Read the full file on GitHub · 263 lines

Changes

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.

  1. 8d ago First seen · 263 lines · 4,716 tokens per session scan A ddb6614c2309

Subscribe to this mod's changes

knowledgelib-io GEMINI.md is an instructions file published in the GitHub repository peterbeck111/knowledgelib-io (1 stars, last pushed 2mo ago), licensed MIT. It adds 4,716 tokens to every session, about $0.0236 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 2026-08-31.

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