Borrowing it
Nothing to install: this file belongs to specdog/dotdog. 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/specdog/dotdog/main/AGENTS.mdgit clone --depth 1 https://github.com/specdog/dotdogWrote 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/specdog/dotdog/agents-md)<a href="https://agentmods.dev/instructions/specdog/dotdog/agents-md"><img src="https://agentmods.dev/badge/instructions/specdog/dotdog/agents-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/specdog/dotdog/agents-md"><img src="https://agentmods.dev/badge/instructions/specdog/dotdog/agents-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 | $0.00526 | $0.00526 |
| Opus 5.5 | $0.00210 | $0.00210 |
| Sonnet 5.5 | $0.00105 | $0.00105 |
| Haiku 4.5 | $0.00053 | $0.00053 |
Grade A, and why
dotdog 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 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — dotdog
This repo is the dotdog CLI tool. For spec graphs, use
npx dotdog serve(MCP) ordotdog compile.
Quick Start (read this first)
NEVER read .dog files directly. Query the .dag via MCP. The .dog is human format. The .dag is agent format.
- .md: read for context (README, docs, blog) but NOT for entity/relationship/project structure
- .dog: NEVER read. Human writes it. Agent never touches it.
- .dag: ALWAYS query via MCP. This is your source of truth for project structure.
- If .dag doesn't have it: report "unverified" — never fall back to .dog
MCP: npx dotdog serve (11 tools: getEntity, traverse, path, search, schema, summary, listProjects, workspace.list, context, impact, infraVerify)
Workflow (lean):
- 1 issue → 1 PR → 1 merge
- spec/.dag first, code second
- no unrelated edits
- verify with targeted test, then full
bun test - update docs/spec in the same PR if behavior changes
- never merge without explicit user ask
Token efficiency:
- keep truth in .dag/spec, not chat
- preserve IDs, file paths, and test results verbatim
- compress chatter/logs, not constraints or state
- prefer short status: changed / verified / next
Public site/docs: keep README, docs, and specdog.github.io in sync when adding commands, docs, blog posts, or discovery pages.
Commands (when modifying dotdog source)
dotdog validate → check completeness (run before commits)
dotdog doctor → baseline health check (run before commits)
dotdog analyze → gap detection + contradiction checking
dotdog compile → rebuild .dag from .dog files
dotdog index → build search index
dotdog search "q" → lexical search across indexed sections
dotdog status → read-only graph freshness (not correctness)
Key Rules
- Use conventional commits (feat:, fix:, docs:, chore:)
- Never commit dist/
- Keep the first unreleased 1.0 candidate at
1.0.0; bump versions per release, not per development commit - Dogfood: test against
npx dotdog@latest validatebefore shipping
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 · +17 tokens per session fd71020d655d
- 2mo ago First seen · 50 lines · 509 tokens per session scan A 61322e71c825
dotdog AGENTS.md is an instructions file published in the GitHub repository specdog/dotdog (7 stars, last pushed 6d ago), licensed MIT. It adds 526 tokens to every session, about $0.0021 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.
dotdog AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dotdog AGENTS.mdspecdog/dotdog | Instructions file | 7 | 6d ago | MIT | A | 526 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | 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 | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |