Borrowing it
Nothing to install: this file belongs to WayneChou-bot/LLM-Wiki-Agent-Workflow-Demo. 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/WayneChou-bot/LLM-Wiki-Agent-Workflow-Demo/main/AGENTS.mdgit clone --depth 1 https://github.com/WayneChou-bot/LLM-Wiki-Agent-Workflow-DemoWrote 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/instructions/waynechou-bot/llm-wiki-agent-workflow-demo/agents-md)<a href="https://agentmods.dev/instructions/waynechou-bot/llm-wiki-agent-workflow-demo/agents-md"><img src="https://agentmods.dev/badge/instructions/waynechou-bot/llm-wiki-agent-workflow-demo/agents-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.
<a href="https://agentmods.dev/instructions/waynechou-bot/llm-wiki-agent-workflow-demo/agents-md"><img src="https://agentmods.dev/badge/instructions/waynechou-bot/llm-wiki-agent-workflow-demo/agents-md.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 | $0.00368 | $0.00368 |
| Opus 5 | $0.00184 | $0.00184 |
| Sonnet 5 | $0.00074 | $0.00074 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
LLM-Wiki-Agent-Workflow-Demo AGENTS.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 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.
What it actually says
LLM Wiki Agent Rules
This project is a demo of an LLM-maintained knowledge base.
Core Layers
raw/contains immutable source materials. Do not rewrite raw sources during ingest.wiki/contains compiled knowledge pages maintained by agents.wiki/index.mdis the navigation layer. Keep it concise.wiki/log.mdis the chronological operation log. Append every ingest, query archive, and lint run.templates/contains page patterns used by the demo.
Demo Agents
Programming Agent
Focus on technical architecture, implementation patterns, API integration, debugging notes, and reusable engineering decisions.
Write pages under wiki/programming/.
UI Design Agent
Focus on product experience, screen structure, interaction patterns, layout constraints, affordances, and design tradeoffs.
Write pages under wiki/ui-design/.
Project Manager Agent
Focus on goals, scope, roadmap, risks, decisions, milestones, dependencies, and execution planning.
Write pages under wiki/project-management/.
Personal Knowledge Agent
Focus on learning loops, personal operating systems, notes, reflective practice, habits, and long-term knowledge accumulation.
Write pages under wiki/personal/.
Operations
Ingest
- Read one source from
raw/. - Compile it into one or more topic pages under
wiki/. - Update
wiki/index.md. - Append to
wiki/log.md.
Query
- Read
wiki/index.md. - Read relevant pages.
- Answer from wiki content first.
- Only write a new page when the user chooses to archive the answer.
Lint
Check for missing index entries, empty pages, broken local links, and orphan topics. Report issues before making large structural 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.
- 9d ago First seen · 58 lines · 368 tokens per session scan A ab753f2e400b
LLM-Wiki-Agent-Workflow-Demo AGENTS.md is an instructions file published in the GitHub repository WayneChou-bot/LLM-Wiki-Agent-Workflow-Demo (18 stars, last pushed 26d ago), licensed MIT. It adds 368 tokens to every session, about $0.0018 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.