Borrowing it
Nothing to install: this file belongs to krishddd/llm-wiki. 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/krishddd/llm-wiki/main/CLAUDE.mdgit clone --depth 1 https://github.com/krishddd/llm-wikiWrote 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/krishddd/llm-wiki/claude-md)<a href="https://agentmods.dev/instructions/krishddd/llm-wiki/claude-md"><img src="https://agentmods.dev/badge/instructions/krishddd/llm-wiki/claude-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/krishddd/llm-wiki/claude-md"><img src="https://agentmods.dev/badge/instructions/krishddd/llm-wiki/claude-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 | $0.07304 | $0.07304 |
| Opus 5.5 | $0.02922 | $0.02922 |
| Sonnet 5.5 | $0.01461 | $0.01461 |
| Haiku 4.5 | $0.00730 | $0.00730 |
Grade A, and why
llm-wiki 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 2mo 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 — 472 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — LLM-Wiki v2 Schema
Read by Claude Code at the start of every session. Defines the wiki architecture, memory tiers, conventions, and workflows. Update this file when conventions change. Companion
AGENTS.mdis the agent-facing tool catalogue.
Models
| Role | Model | Strengths |
|---|---|---|
| Summarise, extract | gemma4:e4b |
Fast, strong instruction-following |
| Reason, route, lint, claims | qwen3:14b |
Deep reasoning, thinking mode |
| Quantitative reasoning specialist | vibethinker:3b |
AIME-class maths / STEM / code; routed to ADAPTIVELY for quantitative questions |
| Embeddings | nomic-embed-text:latest |
274 MB, MTEB-strong |
| STEM embeddings (optional) | bge-m3 |
Domain-routed embedder for maths/science/econ/eng; enable with EMBED_STEM_ENABLED |
| Vision (image captions) | llava:7b |
Optional — used when ingest_caption_images=true |
All models served via Ollama at OLLAMA_HOST (default http://localhost:11434).
MODEL_FAST = MODEL_REASON is intentional — disables a missing-llama3.2 fallback.
Multi-provider LLM fleet (v4, llm_wiki/providers.py)
Each role can be routed to a hosted, OpenAI-compatible provider instead of
Ollama via PROVIDER_<ROLE> (summary / reason / fast / solver / embed /
vision), default ollama. Vision routes the llava image-caption role to a
multimodal provider via the OpenAI image_url content schema. Providers (v6 roster,
PROVIDER_DEFS registry): groq, github (GitHub Models), gemini, openai,
anthropic (Claude via api.anthropic.com/v1 OpenAI-compat; force_max_tokens),
xai (Grok), openrouter (100+ OSS models, one key), and custom — any
OpenAI-compatible gateway (vLLM / LM Studio / llama.cpp / Together / DeepSeek …)
via CUSTOM_BASE_URL/CUSTOM_MODEL (key optional for local gateways).
Embeddings: ollama | gemini | openai | custom only.
resolve_chat_provider() returns None (→ Ollama) when the role is ollama or its
key/model is unset, so routing is opt-in and self-healing. A provider HTTP error is
re-raised as OllamaError so the existing role fallbacks (e.g. reason→fast) still fire.
Keys are read from env ONLY — never committed. .env.example documents every knob.
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.
- 2mo ago First seen · 472 lines · 7,304 tokens per session scan A e9238632573e
llm-wiki CLAUDE.md is an instructions file published in the GitHub repository krishddd/llm-wiki (5 stars, last pushed 2mo ago), licensed MIT. It adds 7,304 tokens to every session, about $0.0292 per session on Opus 5.5. 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.
llm-wiki CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| llm-wiki CLAUDE.mdkrishddd/llm-wiki | Instructions file | 5 | 2mo ago | MIT | A | 7,304 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |