What is llm-wiki-newsroom GEMINI.md?

Instructions for maintaining a newsroom-style knowledge wiki about language-model news. They describe its content format, directory layout, source-ingestion process, automated build steps, and checks before publication.

Use them to add or update wiki content, ingest sources, rebuild indexes and graphs, and run the required lint checks before publishing.

They help prevent manual edits from being overwritten or generated files from becoming inconsistent. They also set rules for naming, sourcing, approvals, and validation.

How alfadur7/llm-wiki-newsroom configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to alfadur7/llm-wiki-newsroom. 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/alfadur7/llm-wiki-newsroom/main/GEMINI.md

Clone the repo

git clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroom

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/alfadur7/llm-wiki-newsroom/gemini-md/github.svg)](https://agentmods.dev/instructions/alfadur7/llm-wiki-newsroom/gemini-md)

Your own site

<a href="https://agentmods.dev/instructions/alfadur7/llm-wiki-newsroom/gemini-md"><img src="https://agentmods.dev/badge/instructions/alfadur7/llm-wiki-newsroom/gemini-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/alfadur7/llm-wiki-newsroom/gemini-md"><img src="https://agentmods.dev/badge/instructions/alfadur7/llm-wiki-newsroom/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,282 This file is loaded in full into every session.

When invoked 1,282 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.

Model	Per session	Once invoked
Fable 5.1	$0.01282	$0.01282
Opus 5	$0.00641	$0.00641
Sonnet 5	$0.00256	$0.00256
Haiku 4.5	$0.00128	$0.00128

Measured 12d ago against content hash b753425b2fc8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

llm-wiki-newsroom 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 12d 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 · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LLM Wiki Newsroom — Schema & Workflow Instructions

⚠️ LEGACY COMPATIBILITY MODE — read this first. This file describes the original "no scripts" workflow and has drifted from the current architecture. The source of truth is CLAUDE.md + .claude/ (5-role multi-agent flow, 9 slash commands, deterministic tools/ pipeline). Even in this minimal mode, four rules are non-negotiable:

Never hand-edit generated artifacts: wiki/index.md, wiki/sources/_catalog*.md, any  region, or anything under graph/ — run python tools/build.py instead.

Never hand-write graph/graph.html or graph/*.json — the HTML is a committed Sigma.js shell that fetches build artifacts.

Run python tools/lint.py and require exit 0 before treating content as published.

English TitleCase filenames are the default; non-Latin-script entities may use a native-script filename (e.g. 신한은행.md) — .claude/policies/naming.md; new person stubs need ≥3 distinct citing sources + operator approval.

This repo can be driven conversationally by any coding agent, but the deterministic tools/ scripts (stdlib + a few pip deps, no API key) are required for build/lint — they are not optional.

How to Use

Describe what you want in plain English:

"Ingest this file: raw/papers/my-paper.md"
"What does the wiki say about transformer models?"
"Check the wiki for orphan pages and contradictions"
"Build the knowledge graph"

Or use shorthand triggers:

ingest <file> → runs the Ingest Workflow
query: <question> → runs the Query Workflow
lint → runs the Lint Workflow
build graph → runs the Graph Workflow

Directory Layout

raw/          # Immutable source documents — never modify these
wiki/         # Agent owns this layer entirely
  index.md    # Catalog of all pages — generated by `python tools/build.py index`
  overview.md # Living synthesis across all sources
  sources/    # One summary page per source document
  entities/   # People, companies, projects, products
  concepts/   # Ideas, frameworks, methods, theories
  overviews/  # L2-3 cluster landscape overviews
  contradictions/ # L2-3 conflict-axis theme pages
  syntheses/  # Saved query answers
  timelines/  # Chronological hub pages
  trails/     # Associative trails (Memex)
graph/        # Auto-generated graph data (build.py output — do not hand-edit)
tools/        # Optional standalone Python scripts
log.md        # Append-only chronological record (repo root, not under wiki/)

Read the full file on GitHub · 157 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.

12d ago First seen · 157 lines · 1,282 tokens per session scan A b753425b2fc8

Subscribe to this mod's changes

llm-wiki-newsroom GEMINI.md is an instructions file published in the GitHub repository alfadur7/llm-wiki-newsroom (85 stars, last pushed 2d ago), licensed MIT. It adds 1,282 tokens to every session, about $0.0064 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 2026-08-30.

Claude Code Research Writing and docs agentic-ai ai-agents knowledge-base knowledge-graph local-first

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