Borrowing it
Nothing to install: this file belongs to DataViking-Tech/Althing. 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/DataViking-Tech/Althing/main/CLAUDE.mdgit clone --depth 1 https://github.com/DataViking-Tech/AlthingWrote 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/dataviking-tech/althing/claude-md)<a href="https://agentmods.dev/instructions/dataviking-tech/althing/claude-md"><img src="https://agentmods.dev/badge/instructions/dataviking-tech/althing/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/dataviking-tech/althing/claude-md"><img src="https://agentmods.dev/badge/instructions/dataviking-tech/althing/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 | $0.02028 | $0.02028 |
| Opus 5.5 | $0.00811 | $0.00811 |
| Sonnet 5.5 | $0.00406 | $0.00406 |
| Haiku 4.5 | $0.00203 | $0.00203 |
Grade A, and why
Althing 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 6d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
althing
A lightweight, LLM-agnostic research harness for running synthetic focus groups using AI personas.
Architecture
Pure Python 3.10+ with minimal dependencies (httpx for HTTP, pyyaml for YAML parsing). Optional deps: mcp (MCP server).
src/althing/
├── llm/ # Provider-agnostic LLM client
│ ├── client.py # Unified send/stream interface
│ ├── aliases.py # Model alias resolution (sonnet → claude-sonnet-4-6)
│ ├── errors.py # Error types and retry logic
│ ├── models.py # Data models (CompletionRequest, CompletionResponse, etc.)
│ └── providers/ # Provider implementations
│ ├── anthropic.py # Claude
│ ├── openai_compat.py # OpenAI, local models
│ ├── xai.py # Grok
│ └── gemini.py # Google Gemini
├── runtime.py # Agent session loop (turns, tool calls, compaction)
├── orchestrator.py # Parallel panelist execution (ThreadPoolExecutor)
├── structured/ # Schema-validated responses via tool-use forcing
├── cost.py # Token tracking, model pricing, budget enforcement
├── persistence.py # Session save/load/fork (JSON + JSONL)
├── plugins/ # Manifest-based extension system with hooks
├── instrument.py # v1/v2/v3 instrument parser + DAG validator
├── routing.py # v3 router predicates (contains/equals/matches)
├── mcp/ # MCP server (12 tools, stdio transport)
│ ├── server.py # MCP server entry point
│ └── data.py # Persona + instrument pack and result persistence
├── packs/instruments/ # 5 bundled v3 branching instrument packs
├── cli/ # CLI framework
│ ├── parser.py # argparse setup
│ ├── commands.py # Subcommand handlers (prompt, panel run)
│ ├── repl.py # Interactive REPL
│ ├── slash.py # Slash command registry
│ └── output.py # Output formatting (text, json, ndjson)
└── main.py # Entry point
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.
- 6d ago Changed · +6 lines · +99 tokens per session 46cdfea5e950
- 1mo ago First seen · 199 lines · 1,929 tokens per session scan A 1af43971c9ea
Althing CLAUDE.md is an instructions file published in the GitHub repository DataViking-Tech/Althing (2 stars, last pushed 2d ago), licensed MIT. It adds 2,028 tokens to every session, about $0.0081 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.
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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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.
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AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).