wolbarg-coordination

wolbarg-coordination is a skill for Claude Code, Codex from wolbarg/cursor. It costs 72 tokens per session (593 once invoked), scanned A, original, MIT.

A coordination skill for sharing work between multiple Cursor coding agents through Wolbarg. It records workspace context, claimed areas, findings, dead ends, and handoffs.

In plain words
What is it for?
Use it when several agents work in the same codebase, when continuing another agent’s work, or when handing a task to a different agent. It helps reserve file areas and share progress.
Why use it?
It reduces duplicated work and makes parallel agents aware of each other’s changes and discoveries. Wolbarg must be initialized before its coordination steps are used.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/wolbarg/cursor/wolbarg-coordination
Any agent
npx skills add wolbarg/cursor --skill wolbarg-coordination
Clone the repo
git clone --depth 1 https://github.com/wolbarg/cursor

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 wolbarg-coordination

README.md
[![agentmods](https://agentmods.dev/badge/skills/wolbarg/cursor/wolbarg-coordination.svg)](https://agentmods.dev/skills/wolbarg/cursor/wolbarg-coordination)
Your own site
<a href="https://agentmods.dev/skills/wolbarg/cursor/wolbarg-coordination"><img src="https://agentmods.dev/badge/skills/wolbarg/cursor/wolbarg-coordination.svg" alt="Measured on agentmods" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 593 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00072 $0.00593
Opus 5 $0.00036 $0.00296
Sonnet 5 $0.00014 $0.00119
Haiku 4.5 $0.00007 $0.00059

Measured 4d ago against content hash c7134b632f2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wolbarg-coordination 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 4d 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.

skills/wolbarg-coordination/SKILL.md · 72 lines

What it actually says

Wolbarg Coordination

Hard prerequisite — wolbarg init

npx wolbarg init

If tools return WOLBARG_NOT_INITIALIZED, init then reload MCP. Skipping init is not supported.

Workflow

1. Brief (race-aware)

workspace_briefing
  query: "auth"            # keep SHORT (1–3 tokens)
  wait_ms: 5000            # when siblings may still be writing
  min_findings: 1          # optional soft-sync thresholds
  min_active_claims: 0
  min_handoffs: 0

Or omit query for a full snapshot.

Read hints.retrySuggested / hints.messages. If briefing is empty and parallel agents are expected, retry once with wait_ms rather than assuming the store is blank.

Conflict with another exclusive claim only while that lease is active. After release_claim / TTL expiry, the scope is free.

2. Claim

claim_scope
  actor_id: <stable label, e.g. "agent-payments">
  scopes: ["src/payments/**"]
  mode: "exclusive"
  purpose: "Fix webhook timing-safe verify"

On ok: false, inspect flat conflicts[] (actor_id, overlapping_scopes, …). Pick a non-overlapping scope, wait, or ask the user.

Set WOLBARG_ACTOR_ID to your actor_id so preToolUse hooks ignore your own leases.

3. Record findings

kind use for
dead_end Tried X, failed because Y
decision Chose approach A over B and why
fact Durable codebase truth
open_question Unresolved blocker
artifact_pointer PR / commit / file:line pointer

Tag findings (auth, payments, …) so siblings can find them with short queries.

4–6. Work board, pulse/heartbeat, handoff

upsert_work_item, pulse_update, heartbeat_claim, then release_claim + create_handoff.

Soft-fail

Coordination is best-effort unless .wolbarg/coordination.json enables fail-closed protected globs. Hooks remain advisory by default.

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. 4d ago First seen · 72 lines · 72 tokens per session scan A c7134b632f2b

Subscribe to this mod's changes

wolbarg-coordination is a skill published in the GitHub repository wolbarg/cursor (0 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 593 once invoked, about $0.0004 per session on Opus 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.

Related

Other skills, from other repositories

openakashic

Persistent memory for AI agents across sessions. Search what others figured out, write what you learn, publish what deserves a wider audience.

szara7678/OpenAkashic · 30 tokens

image-generate

Generate an image from a text prompt via the cloud LLM image proxy, persist it as a content-addressed workspace asset, and return a ContentBlock that downstream renderers can attach. Use whenever the user asks "draw / generate / make an image of …", an agent needs a diagram / illustration as a follow-up artifact, or a…

Prismer-AI/PrismerCloud · 103 tokens

claim-agent-ownership

Orchestrator skill for resolving multi-daemon binding contention. Use when you (the orchestrator) detect an agent.binding.contested sync event indicating two daemons are racing for the same agent — explicitly rebind ownership to a chosen target daemon so subsequent dispatches route deterministically. Implements Gap…

Prismer-AI/PrismerCloud · 101 tokens

assets

Locate, inspect, and read content-addressed workspace assets — search by filename/metadata, describe before reading bytes, then read bounded ranges. Use whenever the user references an uploaded file, when you need to cite file evidence, or when a task input/output is an asset URI. Executes via the cloud asset CLI and…

Prismer-AI/PrismerCloud · 69 tokens

web-artifacts-builder

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Prismer-AI/PrismerCloud · 64 tokens

prismer-setup

Set up Prismer API key — opens browser, auto-registers, zero copy-paste.

Prismer-AI/PrismerCloud · 23 tokens