Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/specdog/dotdog/claude-mdgit clone --depth 1 https://github.com/specdog/dotdogWhat 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 | $0.00450 | $0.00450 |
| Opus 5 | $0.00225 | $0.00225 |
| Sonnet 5 | $0.00090 | $0.00090 |
| Haiku 4.5 | $0.00045 | $0.00045 |
Grade A, and why
dotdog 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 2d 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
CLAUDE.md — dotdog
You are an AI agent working on a dotdog project. This file is your ground truth.
Before you do anything
- NEVER read .dog files directly. The .dag is the compiled source of truth. Reading .dog is reading the compiler input — not your layer.
Read .md files for context (README, docs, blog) but NEVER use .md for entity names, relationships, or project structure. Only .dag has that.
- Find the .dag file:
find . -name "*.dag" -not -path "*/node_modules/*" - Load it. This is 94% smaller than the .dog source files. It has the full entity graph.
- If MCP is available, run
npx dotdog servefor live queries.
Key rules
- Load the .dag before reading any code file. If you read .dog or .md without the .dag, you are guessing. Use MCP tools to query the .dag — never scan .dog files directly.
- Do not grep for structure. The .dag has entity names, properties, relationships. Use it.
- If code contradicts .dag, .dag wins. Fix code toward .dag. Never fix .dag toward code.
- Run
dotdog validatebefore committing. Score must not decrease. - If the .dag says nothing about something, say "unverified." Do not speculate.
Commands
| Command | When |
|---|---|
dotdog validate |
Before committing spec changes |
dotdog compile |
After editing .dog files |
dotdog staleness |
Check spec/reality drift |
dotdog serve |
Start MCP for live queries |
MCP tools
When dotdog serve is running: getEntity, traverse, search, schema, summary, listProjects.
More
- Agent instructions — full guide for AI agents
- Spec-Driven Development — methodology
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.
- 2d ago First seen · 39 lines · 450 tokens per session scan A bf7af4476100
dotdog CLAUDE.md is an instructions file published in the GitHub repository specdog/dotdog (5 stars, last pushed 1mo ago), licensed MIT. It adds 450 tokens to every session, about $0.0022 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 2026-08-31.
Other instructions, from other repositories
agents
Startup protocol — safe for all collaborators. MCP section is conditional.
claude
Startup protocol for Claude-style agents — safe for all collaborators.
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.
agent-spec AGENTS.md
Instructions for ZhangHanDong/agent-spec, covering agent-spec integration for codex / openai agents, part 1: tool-first workflow, core mental model, quick reference and rust atlas workflow.
agent-plugins-spec AGENTS.md
AGENTS.md instructions for agentplugins/agent-plugins-spec, covering agent instructions, purpose and authority, design posture, portability boundaries and editorial discipline.
leanspec AGENTS.md
Instructions for codervisor/leanspec, covering ai agent instructions, project: leanspec, skills, spec-driven development (github-issue specs) and development & tooling.