ai-content-kb: Instructions file for Codex

AGENTS.md

ai-content-kb AGENTS.md is an instructions file for Codex, OpenCode from mrbear1024/ai-content-kb. It costs 1,765 tokens per session, scanned A, original, MIT.

Instructions for working in an AI-assisted personal content knowledge system, including natural-language workflows for adding material and building wiki indexes. They cover where content belongs, how to preserve sources, and when to ask for missing material.

In plain words
What is it for?
Use them when adding notes, articles, links, or attachments to the knowledge base, checking related pages, or preparing index entries for review.
Why use it?
They provide a repeatable way to store content without losing provenance or copying material that cannot be redistributed.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md.

This is mrbear1024/ai-content-kb's own configuration. It tells Codex and OpenCode how to work on ai-content-kb 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 ai-content-kb configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mrbear1024/ai-content-kb. 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/mrbear1024/ai-content-kb/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mrbear1024/ai-content-kb

Made for: Codex, OpenCode.

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.

agentmods badge for ai-content-kb AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mrbear1024/ai-content-kb/agents-md.svg)](https://agentmods.dev/instructions/mrbear1024/ai-content-kb/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/mrbear1024/ai-content-kb/agents-md"><img src="https://agentmods.dev/badge/instructions/mrbear1024/ai-content-kb/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,765 This file is loaded in full into every session.
When invoked 1,765 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 $0.01765 $0.01765
Opus 5 $0.00882 $0.00882
Sonnet 5 $0.00353 $0.00353
Haiku 4.5 $0.00177 $0.00177

Measured 7d ago against content hash 7b10ceee2b13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

ai-content-kb 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 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.

AGENTS.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Operating Rules

This repository is an AI-assisted personal content knowledge system. Follow CLAUDE.md and KNOWLEDGE_BASE_GUIDE.md.

If this is a new session, read START_HERE.md first.

Natural-Language Workflows

Treat the following phrases as repository workflow intents. They are natural-language shortcuts, not application slash commands. Accept close Chinese or English variants.

加入知识库 / add to knowledge base

When the user provides or references material:

  1. Inspect the complete material and determine provenance.
  2. Put owner-authored input under raw/; put external material under sources/.
  3. Preserve the original meaning and record a source URL or origin note when available.
  4. Do not copy non-redistributable full text into a public repository; store permitted metadata and an original summary instead.
  5. Check existing aliases and related pages.
  6. Create candidate wiki pages under .kb/staging/wiki/ and candidate sidecars under .kb/staging/links/ when useful.
  7. Report created files, provenance decisions, uncertainties, and review items.

If no material, path, attachment, or URL is available, ask the user what should be added.

增加 Wiki 索引 / add wiki index

For the specified material or topic:

  1. Read the relevant originals, not only existing wiki summaries.
  2. Reuse canonical concepts and aliases where possible.
  3. Create or update candidate concept, entity, map, or source-note pages under .kb/staging/wiki/.
  4. Include repository-relative citations to raw/, sources/, or products/.
  5. Create matching candidate graph sidecars under .kb/staging/links/.
  6. Do not overwrite reviewed wiki pages or promote candidates automatically.

审核并发布索引 / review and publish index

Review the requested staged wiki pages and sidecars. Validate citations, aliases, paths, edge semantics, and source hashes. Promote accepted files to wiki/ and .kb/links/, then update wiki/changelog.md. Report anything left in staging.

查询知识库 / query knowledge base

Read the full file on GitHub · 174 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. 7d ago First seen · 174 lines · 1,765 tokens per session scan A 7b10ceee2b13

Subscribe to this mod's changes

ai-content-kb AGENTS.md is an instructions file published in the GitHub repository mrbear1024/ai-content-kb (121 stars, last pushed 1mo ago), licensed MIT. It adds 1,765 tokens to every session, about $0.0088 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.

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