Borrowing it
Nothing to install: this file belongs to mlorentedev/hive. 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/mlorentedev/hive/master/AGENTS.mdgit clone --depth 1 https://github.com/mlorentedev/hiveWrote 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/mlorentedev/hive/agents-md)<a href="https://agentmods.dev/instructions/mlorentedev/hive/agents-md"><img src="https://agentmods.dev/badge/instructions/mlorentedev/hive/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/mlorentedev/hive/agents-md"><img src="https://agentmods.dev/badge/instructions/mlorentedev/hive/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 | $0.03073 | $0.03073 |
| Opus 5.5 | $0.01229 | $0.01229 |
| Sonnet 5.5 | $0.00615 | $0.00615 |
| Haiku 4.5 | $0.00307 | $0.00307 |
Grade A, and why
hive AGENTS.md scanned grade A with 1 finding 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 1mo 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- **All `subprocess.run` calls MUST catch broad `Exception`**, not just `CalledProcessError` — git invocations on Windows raise things like `FileNotFoundError` that would otherwise crash a write tool. How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for AI coding agents (Claude Code, OpenCode, Copilot, Cursor, Codex, Antigravity) operating in this repo.
Behavioural SSOT lives in dotfiles:
$DOTFILES_REPO_DIR/AGENTS.md(the dotfiles repo root, resolved per-machine via the path cascade: explicit env →~/.config/dotfiles/machine.json→env-contract.jsondefault; ADR-025). Read it FIRST — Identity, Standing Orders, Decision Hierarchy, Model Selection, Neural Hive protocol, MCP usage rules, Spec-Driven Development gate, and operational rules. This file adds ONLY what is specific to the Hive repo. The Claude-specific tooling overlay is.claude/CLAUDE.md.
What this repo is
Hive — vault-native AI orchestration: a unified MCP server giving AI coding assistants on-demand access to an Obsidian vault plus delegation to local/cheap workers.
Build/operate docs live in docs/ (docs-as-code): docs/adr/ (architecture decisions + sequence-diagrams.md), docs/runbooks/, docs/troubleshooting/, docs/lessons.md. Per-feature specs live in specs/. Task state lives in the bitácora GitHub Project (filter by Repo = hive), not here. The cross-project brain and AI memory live in the maintainer's vault.
Big-picture architecture
Hive is an MCP server (stdio transport, FastMCP framework) with three responsibilities:
- Vault tools — query, search, list, write, patch markdown files in an Obsidian vault. All writes auto-commit to git (best-effort; git failure never crashes the server) and validate YAML frontmatter.
- Session tools —
session_briefingassembles tasks + lessons + git log + health in one call so an AI client gets ~50 lines of context instead of ~800. - Worker tools —
delegate_taskandcapture_lessoneach make one attempt against one OpenAI-compatible worker. No internal fallback: the caller owns the chain, and failures are classified as pool unavailable vs task failed so the caller can tell a retryable one from a real one.
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.
- 1mo ago Changed · -1 lines · +33 tokens per session 06a2bb3e5d2b
- 1mo ago First seen · 132 lines · 3,040 tokens per session scan A 2c3e3fdca43c
hive AGENTS.md is an instructions file published in the GitHub repository mlorentedev/hive (11 stars, last pushed 2d ago), licensed MIT. It adds 3,073 tokens to every session, about $0.0123 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
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
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, cache eligibility and rollout and applying the notice (cutover).
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.
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).
deepseek-harness AGENTS.md
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.