How do I install the Bernstein Run skill?

Run npx skillmds@latest add sipyourdrink-ltd/bernstein-run in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Bernstein Run safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Bernstein Run?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Bernstein Run free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Bernstein Run?

sipyourdrink-ltd (@sipyourdrink-ltd) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Bernstein Run by sipyourdrink-ltd — Agent Skill

Name: Bernstein Run
Author: sipyourdrink-ltd

Bernstein Run

Run a verified multi-agent goal with Bernstein. Use when a task is too large for a single agent session: Bernstein decomposes the goal into tasks, spawns CLI coding agents in parallel git worktrees, verifies their output, and merges results. Also use to check run status, costs, and to verify a finished run against its lineage and audit chain.

sipyourdrink-ltd 257dea9 2 files · 5.2 KB Updated Sep 17, 2026

File contents

Run a verified multi-agent goal

Bernstein is the open-source governance layer for AI agents, with a deterministic multi-agent scheduler. This skill wraps the three-step operator loop: submit a goal, monitor progress, and verify the finished run against its Merkle-chained lineage journal and HMAC audit chain.

Prerequisites

bernstein on PATH (pip install bernstein or uv tool install bernstein).
Run commands from the project root (the directory holding .sdd/ after the first run).
First-time setup: bernstein init scaffolds config and templates.

Workflow

1. Submit

bernstein run -g "<goal>"

The goal is a plain-English description of what to build or fix.
Bernstein plans tasks, assigns roles (backend, frontend, qa, security, devops), and spawns agents in isolated git worktrees.
Preview without spending: bernstein run --dry-run -g "<goal>".

2. Monitor

bernstein status
bernstein cost

status shows task summary and agent health.
cost shows the spend so far against configured budgets.

3. Verify

bernstein lineage verify <run_id>
bernstein audit verify

lineage verify recomputes the run's Merkle hash chain and every HMAC tag; exit 0 means the chain is intact and non-empty.
audit verify checks the HMAC audit chain and Merkle tree across the whole workspace; run it before trusting or shipping the result.

Report the run as complete only when both verifications exit 0.

Verifying this skill's own install

Installs of this skill are receipt-backed. To confirm bernstein is on PATH and the bundled skill asset resolves in this session:

bernstein skills package show

To prove the skill content the session is driving matches what was installed:

bernstein skills package verify --dest <path-to-this-skill-directory>

Exit 0 means the installed tree's content address matches a receipt anchored in the lineage spine and audit chain. These two commands are the self-check contract the multi-host conformance sweep replays per agent host (bernstein skills package conformance).

Notes

Never mark a goal done from agent output alone; the lineage and audit verifications are the completion evidence.
If bernstein is not installed, say so and point at the prerequisites above; do not attempt to reimplement orchestration inline.
See references/worked-examples.md for end-to-end transcripts and per-host invocation notes.

---name: bernstein-rundescription: Run a verified multi-agent goal with Bernstein. Use when a task is too large for a single agent session: Bernstein decomposes the goal into tasks, spawns CLI coding agents in parallel git worktrees, verifies their output, and merges results. Also use to check run status, costs, and to verify a finished run against its lineage and audit chain.---# Run a verified multi-agent goalBernstein is the open-source governance layer for AI agents, with adeterministic multi-agent scheduler. This skill wraps the three-step operator loop: submit a goal,monitor progress, and verify the finished run against its Merkle-chainedlineage journal and HMAC audit chain.## Prerequisites- `bernstein` on PATH (`pip install bernstein` or `uv tool install bernstein`).- Run commands from the project root (the directory holding `.sdd/` after the first run).- First-time setup: `bernstein init` scaffolds config and templates.## Workflow### 1. Submit```bashbernstein run -g "<goal>"```- The goal is a plain-English description of what to build or fix.- Bernstein plans tasks, assigns roles (backend, frontend, qa, security, devops), and spawns agents in isolated git worktrees.- Preview without spending: `bernstein run --dry-run -g "<goal>"`.### 2. Monitor```bashbernstein statusbernstein cost```- `status` shows task summary and agent health.- `cost` shows the spend so far against configured budgets.### 3. Verify```bashbernstein lineage verify <run_id>bernstein audit verify```- `lineage verify` recomputes the run's Merkle hash chain and every HMAC tag; exit 0 means the chain is intact and non-empty.- `audit verify` checks the HMAC audit chain and Merkle tree across the whole workspace; run it before trusting or shipping the result.Report the run as complete only when both verifications exit 0.## Verifying this skill's own installInstalls of this skill are receipt-backed. To confirm `bernstein` is on PATHand the bundled skill asset resolves in this session:```bashbernstein skills package show```To prove the skill content the session is driving matches what wasinstalled:```bashbernstein skills package verify --dest <path-to-this-skill-directory>```Exit 0 means the installed tree's content address matches a receiptanchored in the lineage spine and audit chain. These two commands are theself-check contract the multi-host conformance sweep replays per agent host(`bernstein skills package conformance`).## Notes- Never mark a goal done from agent output alone; the lineage and audit verifications are the completion evidence.- If `bernstein` is not installed, say so and point at the prerequisites above; do not attempt to reimplement orchestration inline.- See `references/worked-examples.md` for end-to-end transcripts and per-host invocation notes.

Frequently asked questions