maintainer-bar

maintainer-bar is a skill for Claude Code, Codex from OpenCoven/coven. It costs 52 tokens per session (1,035 once invoked), scanned A, original, MIT.

A workflow for operating MaintainerBar, a macOS menu-bar app for maintaining GitHub repositories. It connects to ghcrawl, a local tool that groups related issues and supports semantic search.

In plain words
What is it for?
Use it to refresh GitHub issue data, group related issues, search issues by meaning, check repository activity, manage notifications, and build or run the SwiftUI app.
Why use it?
It brings repository health checks, issue clustering, search, notifications, and data refreshes into one documented workflow. It also describes how to build and run the app and its backend.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to refresh GitHub issue data, group related issues, search issues by meaning, check repository activity, manage notifications, and build or run the SwiftUI app.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/opencoven/coven/maintainer-bar
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 OpenCoven/coven --skill maintainer-bar
Clone the repo
git clone --depth 1 https://github.com/OpenCoven/coven

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 maintainer-bar

README.md
[![agentmods](https://agentmods.dev/badge/skills/opencoven/coven/maintainer-bar/github.svg)](https://agentmods.dev/skills/opencoven/coven/maintainer-bar)
Your own site
<a href="https://agentmods.dev/skills/opencoven/coven/maintainer-bar"><img src="https://agentmods.dev/badge/skills/opencoven/coven/maintainer-bar/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 maintainer-bar

Your own site · 80×15
<a href="https://agentmods.dev/skills/opencoven/coven/maintainer-bar"><img src="https://agentmods.dev/badge/skills/opencoven/coven/maintainer-bar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,035 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 120
    Code scans file system directories looking for sensitive files. This could be reconnaissance for credential theft.
    Fix: Remove unnecessary filesystem scanning. If file access is needed, use explicit, scoped paths. Avoid reading ~/.ssh, ~/.aws, or credential directories.
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 $0.00052 $0.01035
Opus 5.5 $0.00021 $0.00414
Sonnet 5.5 $0.00010 $0.00207
Haiku 4.5 $0.00005 $0.00103

Measured 1mo ago against content hash 1f3bb5d96eee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

maintainer-bar 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 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.

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/maintainer-bar/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MaintainerBar — Maintainer Menu Bar Skill

Overview

MaintainerBar is a native macOS SwiftUI menu bar app for GitHub repo maintenance. It's backed by ghcrawl (local SQLite + OpenAI embeddings) for issue/PR clustering and semantic search.

Repo: ~/Documents/GitHub/OpenKnots/MaintainerBar Stack: SwiftUI (Swift Package Manager), macOS 14+ Backend: ghcrawl CLI (JSON mode) + GitHub API via gh Host: MB Black (macOS node)

Prerequisites

  • ghcrawl installed: ~/.nvm/versions/node/v24.13.0/bin/ghcrawl
  • Wrapper: ~/.local/bin/ghcrawl-op (injects GitHub token via gh auth + OpenAI key via 1Password)
  • Xcode 26+ / Swift 6.0+
  • gh CLI authenticated
  • op CLI (1Password) for OpenAI key

Build & Run

# Build
cd ~/Documents/GitHub/OpenKnots/MaintainerBar
swift build

# Run (debug)
swift run MaintainerBar

# Run built binary directly
.build/debug/MaintainerBar

ghcrawl Operations (via wrapper)

All ghcrawl commands should use the ghcrawl-op wrapper or inject env vars:

# Refresh a repo (sync + embed + cluster)
~/.local/bin/ghcrawl-op refresh openclaw/openclaw

# List clusters (JSON)
~/.local/bin/ghcrawl-op clusters openclaw/openclaw --min-size 2 --limit 30 --json

# Semantic search
~/.local/bin/ghcrawl-op search openclaw/openclaw --query "download stalls" --json

# Cluster detail
~/.local/bin/ghcrawl-op cluster-detail openclaw/openclaw --id 123 --json

# Specific threads
~/.local/bin/ghcrawl-op threads openclaw/openclaw --numbers 42,43,44 --json

# Author's open issues
~/.local/bin/ghcrawl-op author openclaw/openclaw --login someone --json

# Health check
~/.local/bin/ghcrawl-op doctor --json

Architecture

Sources/
├── MaintainerBarApp.swift      # @main entry, MenuBarExtra
├── Models/
│   ├── AppState.swift          # @MainActor ObservableObject
│   └── Models.swift            # IssueCluster, SearchResult, etc.
├── Services/
│   └── GhcrawlService.swift    # Actor wrapping ghcrawl CLI calls
└── Views/
    ├── MenuBarView.swift       # Main container with tabs
    ├── ClustersView.swift      # Issue cluster browser
    ├── SearchView.swift        # Semantic search
    ├── NotificationsView.swift # GitHub notifications (WIP)
    └── PulseView.swift         # Repo health dashboard (WIP)

Read the full file on GitHub · 132 lines

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 · 132 lines · 52 tokens per session scan A 1f3bb5d96eee

Subscribe to this mod's changes

maintainer-bar is a skill published in the GitHub repository OpenCoven/coven (73 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 1,035 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

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