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/drn/dots/agents-mdgit clone --depth 1 https://github.com/drn/dotsWhat 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 | $0.04627 | $0.04627 |
| Opus 5 | $0.02313 | $0.02313 |
| Sonnet 5 | $0.00925 | $0.00925 |
| Haiku 4.5 | $0.00463 | $0.00463 |
Grade B, and why
dots AGENTS.md scanned grade B with 2 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
| agents | Agent skills, custom agents, hooks, and status line (symlinks agents/skills → ~/.claude/skills + ~/.agents/skills, agents/custom → ~/.claude/agents, agents/AGENTS.md → ~/.claude/CLAUDE.md, registers hooks and Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| pi | pi.dev coding agent CLI + config (installs pi via curl pi.dev/install.sh, symlinks pi/agent/models.json → ~/.pi/agent/models.json, and seeds defaultProvider/defaultModel for Ollama qwen3:32b in ~/.pi/agent/setting How it starts
The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenSpec Instructions
These instructions are for AI assistants working in this project.
Always open @/openspec/AGENTS.md when the request:
- Mentions planning or proposals (words like proposal, spec, change, plan)
- Introduces new capabilities, breaking changes, architecture shifts, or big performance/security work
- Sounds ambiguous and you need the authoritative spec before coding
Use @/openspec/AGENTS.md to learn:
- How to create and apply change proposals
- Spec format and conventions
- Project structure and guidelines
Keep this managed block so 'openspec update' can refresh the instructions.
AGENTS.md
This file provides essential context for AI assistants working with the dots repository.
Quick Start
Build and run the CLI:
go install ./...
dots
Essential Commands for Development
Building & Testing
go install ./... # Build all binaries
revive -set_exit_status ./... # Run linter
Core CLI Commands
dots install all # Full system setup
dots install <component> # Install specific component
dots update # Update configuration
dots doctor # Run diagnostics
Spec-Driven Development (OpenSpec)
Route every spec-worthy change through openspec/ before writing code. Any behavioral change
— new CLI command or component, changed install/update behavior, new skill/custom agent/hook, an
altered convention or invariant — gets a change folder first:
- Create
openspec/changes/<name>/withproposal.md, delta specs underspecs/<capability>/spec.md, andtasks.md. Use a kebab-case, verb-ledchange-id(add-,update-,remove-,refactor-). - Run
openspec validate <name> --strictand get approval before implementing. - Implement against the tasks, keeping deltas in sync as requirements shift.
- Archive within the same PR, before merge — run
openspec archive <name> --yes(or apply it by hand: merge the delta requirements into the base specs underopenspec/specs/<capability>/and move the change folder toopenspec/changes/archive/<YYYY-MM-DD>-<name>/) and commit the result on the change branch. Squash-merge applies the work immediately, so the base-spec update must land atomically with the PR — do NOT leave archiving as a separate post-merge step (that strands the base specs behind shipped code).
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 · 293 lines · 4,627 tokens per session scan B b588d666d9e0
dots AGENTS.md is an instructions file published in the GitHub repository drn/dots (23 stars, last pushed 3d ago), licensed MIT. It adds 4,627 tokens to every session, about $0.0231 per session on Opus 5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
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.
buildNext
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).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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).
spec-kit 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.
langchain 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.