manager

manager is a skill for Claude Code, Codex from sipyourdrink-ltd/bernstein. It costs 14 tokens per session (416 once invoked), scanned A, original, Apache-2.0.

A planning skill for coordinating several AI coding agents. It studies the codebase, breaks a larger goal into smaller tasks with acceptance criteria, sends those tasks to a task server, and checks completion signals.

In plain words
What is it for?
It is for planning backend, frontend, testing, security, DevOps, documentation, architecture, and other software tasks that can be assigned to separate agents.
Why use it?
It removes the need to divide complex work manually and gives each agent a defined responsibility. This makes parallel development easier to organize and review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for planning backend, frontend, testing, security, DevOps, documentation, architecture, and other software tasks that can be assigned to separate agents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sipyourdrink-ltd/bernstein/manager
About the project

Bernstein is an open-source governance layer for AI agents that applies written policies, schedules agent work deterministically, controls approvals, and records verifiable execution history. It is used to coordinate CLI coding agents and other agent workloads, including parallel runs and offline review, while the catalogue entries provide its agent workflows and controls.

sipyourdrink-ltd/bernstein · 1,260 stars · on GitHub · bernstein.run

Install

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.

Any agent
npx skills add sipyourdrink-ltd/bernstein --skill manager
Clone the repo
git clone --depth 1 https://github.com/sipyourdrink-ltd/bernstein

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/sipyourdrink-ltd/bernstein/manager/github.svg)](https://agentmods.dev/skills/sipyourdrink-ltd/bernstein/manager)
Your own site
<a href="https://agentmods.dev/skills/sipyourdrink-ltd/bernstein/manager"><img src="https://agentmods.dev/badge/skills/sipyourdrink-ltd/bernstein/manager/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.

agentmods 80×15 button for manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/sipyourdrink-ltd/bernstein/manager"><img src="https://agentmods.dev/badge/skills/sipyourdrink-ltd/bernstein/manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 416 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.00416
Opus 5.5 $0.00006 $0.00166
Sonnet 5.5 $0.00003 $0.00083
Haiku 4.5 $0.00001 $0.00042

Measured 1mo ago against content hash 1c8ab727c720, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

manager 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

task-creation curl syntax (completion signals, owned_files, API base),
templates/skills/manager/SKILL.md · 52 lines

What it actually says

Manager Skill

You lead a team of AI coding agents. Decompose the goal into tasks, create them on the task server, and ensure quality.

Responsibilities

  1. Analyze - read the codebase to understand current state.
  2. Plan - break the goal into specific, actionable tasks with clear acceptance criteria.
  3. Create tasks - POST each task to the task server API.
  4. Verify - include completion signals so the janitor can verify work.

Available roles for tasks

backend, frontend, qa, security, devops, docs, architect, reviewer, ml-engineer, retrieval, prompt-engineer, visionary, analyst, resolver, ci-fixer.

Priority / scope / complexity

  • Priority: 1 = critical, 2 = normal, 3 = nice-to-have.
  • Scope: small (<30 min), medium (30-120 min), large (2-8 h).
  • Complexity: low, medium, high.

When done planning

Mark your own task complete with the first-class CLI - it reads your token and the server port itself, so there is no auth header or JSON body to hand-quote:

bernstein task complete {YOUR_TASK_ID} --summary "Created N tasks to achieve goal: ..."

Then exit.

Call load_skill(name="manager", reference="task-api.md") for the full task-creation curl syntax (completion signals, owned_files, API base), or reference="planning-rules.md" for how to size tasks and avoid file-ownership collisions.

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 1mo ago First seen · 52 lines · 14 tokens per session scan A 1c8ab727c720

Subscribe to this mod's changes

manager is a skill published in the GitHub repository sipyourdrink-ltd/bernstein (1,260 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 416 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

Agent Audit Trail

Append-only, hash-chained audit log for AI agents. Records agent actions, tool calls, decisions, and external writes with provenance, timestamps, and sha256 chain integrity. Designed for compliance with EU AI Act Article 12 automatic event recording requirements for high-risk AI systems.

lxyeternal/MalSkillBench · 59 tokens

akf-trust-metadata

The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.

sickn33/agentic-awesome-skills · 60 tokens

data-cleaning

Use when a raw table is too dirty to trust — nulls, sentinels, duplicate rows, category sprawl, mixed types, bad dates — and you need a re-runnable clean() plus a schema gate that fails loud. NOT emitting .xlsx (that is spreadsheet-ops), NOT acquiring rows (that is data-scraper), NOT parsing PDF/HTML into rows (that…

ericrisco/rsc-harness · 88 tokens

ai-research-reproduction

Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted…

lllllllama/RigorPilot-Skills · 136 tokens

techpack-creator

Scan a repository that already has Claude Code configuration (hooks, skills, CLAUDE.md, settings, MCP servers) and package it into a valid MCS techpack.yaml for distribution via mcs. Use this skill whenever the user wants to create a tech pack from an existing repo, convert a Claude Code setup into a shareable MCS…

mcs-cli/mcs · 190 tokens

explore-run

Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with…

lllllllama/RigorPilot-Skills · 117 tokens