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.
curl -O https://raw.githubusercontent.com/mrbear1024/ai-content-kb/main/CLAUDE.mdgit clone --depth 1 https://github.com/mrbear1024/ai-content-kbWrote 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/mrbear1024/ai-content-kb/claude-md)<a href="https://agentmods.dev/instructions/mrbear1024/ai-content-kb/claude-md"><img src="https://agentmods.dev/badge/instructions/mrbear1024/ai-content-kb/claude-md.svg" alt="Measured on agentmods" 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 | $0.00920 | $0.00920 |
| Opus 5 | $0.00460 | $0.00460 |
| Sonnet 5 | $0.00184 | $0.00184 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
ai-content-kb CLAUDE.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.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Base Operating Rules
This file contains detailed instructions for AI agents working in the vault. AGENTS.md contains the shorter portable rule set. Follow both files together with KNOWLEDGE_BASE_GUIDE.md.
If this is a new session, read START_HERE.md first.
Repository Roles
raw/stores original writing, spoken notes, judgments, research conclusions, and owned drafts.sources/stores external web clips, papers, books, reports, and media transcripts.products/stores reviewed articles, courses, scripts, and other published or delivered work.wiki/stores human-readable concepts, entities, maps, and source summaries..kb/stores rebuildable machine indexes, relationship data, staging output, reports, and logs.
Provenance
- Treat
raw/,sources/, andproducts/as authoritative for their respective roles. - Treat
wiki/as a navigation and synthesis layer. - Every important wiki claim must identify a repository-relative source path.
- Keep personal judgment distinguishable from external claims.
- Record translations and adaptations with
derived_fromedges.
Safe Editing
- Preserve historical raw notes. Prefer a dated correction or follow-up note over silently rewriting history.
- Preserve external source captures unless the user explicitly requests cleanup.
- Preserve published product bodies and their existing build workflow.
- Never add vault-specific syntax to many product files without explicit approval.
- Never treat generated summaries, drafts, or graph candidates as reviewed knowledge.
- Never store secrets, API keys, cookies, private URLs, personal absolute paths, or binary media.
AI Output Lifecycle
generate -> .kb/staging -> human review -> promote or discard
Use these destinations:
.kb/staging/drafts/for unreviewed prose;.kb/staging/course-drafts/for course control-file drafts;.kb/staging/wiki/for candidate concept, entity, map, and source-note pages;.kb/staging/links/for candidate graph sidecars;raw/drafts/for drafts the owner has chosen to develop;wiki/for reviewed knowledge pages;.kb/links/for reviewed relationship data;products/for reviewed output ready for publication or maintenance.
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 · 101 lines · 920 tokens per session scan A a3bba4f8f6a4
ai-content-kb CLAUDE.md is an instructions file published in the GitHub repository mrbear1024/ai-content-kb (121 stars, last pushed 1mo ago), licensed MIT. It adds 920 tokens to every session, about $0.0046 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.