dashboard

dashboard is a skill for Claude Code from myrtlepn/gran-maestro. It costs 51 tokens per session (1,965 once invoked), scanned A, original, MIT.

An explicitly invoked command for Maestro, a tool that coordinates coding-agent work. It provides the dashboard function when called by its exact command or through Maestro.

In plain words
What is it for?
It is for explicitly requesting Maestro’s dashboard operation.
Why use it?
It prevents the function from running accidentally during ordinary requests.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the mst plugin — 42 skills, 4 hooks shipped together

Good fit It is for explicitly requesting Maestro’s dashboard operation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/myrtlepn/gran-maestro/dashboard
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 myrtlepn/gran-maestro --skill dashboard
Clone the repo
git clone --depth 1 https://github.com/myrtlepn/gran-maestro

Made for: Claude Code.

Or install mst, the plugin that ships this one along with the rest of its 42 skills, 4 hooks.

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 dashboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/myrtlepn/gran-maestro/dashboard.svg)](https://agentmods.dev/skills/myrtlepn/gran-maestro/dashboard)
Your own site
<a href="https://agentmods.dev/skills/myrtlepn/gran-maestro/dashboard"><img src="https://agentmods.dev/badge/skills/myrtlepn/gran-maestro/dashboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,965 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 warn 7 Sept 2026
SkillSpector: 3 findings, 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 Rogue Agent · line 52
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 68
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Data Exfiltration · line 73
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00051 $0.01965
Opus 5 $0.00026 $0.00983
Sonnet 5 $0.00010 $0.00393
Haiku 4.5 $0.00005 $0.00197

Measured 8d ago against content hash b3a67c362117, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

dashboard 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 8d 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.

8. 2초 대기 후 `curl -s http://127.0.0.1:<port>/favicon.ico` HTTP 200 확인 (실패 시 로그 출력)
plugins/mst/skills/dashboard/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

maestro:dashboard

Step -1: Explicit Invocation Gate (MANDATORY, NO MUTATION)

모든 user-invocable: true MST skill은 아래 중 하나가 명확할 때만 실행합니다.

  1. 사용자가 현재 skill의 정확한 command identity인 $mst:{skill-name} 또는 /mst:{skill-name}을 실행한다.
  2. 사용자가 MST/Gran Maestro/Maestro 기능을 사용해서 현재 skill 작업을 하라고 명시적으로 요청한다.
  3. 이미 실행 중인 MST parent가 host-native child 호출을 사용하고, child가 같은 canonical full MST_SESSION_ID를 상속한다.

{skill-name}은 현재 SKILL.md frontmatter의 exact name입니다. 다른 MST command의 언급, 인용문·로그·문서 예시, 부정문은 현재 skill 실행 요청이 아닙니다.

구현해줘, 디버그해줘, 탐색해줘, 계획해줘, 아이디어, 토론, 설정, 목록, 정리, 코드 작업, 계속해줘, 머지, 모니터링 같은 일반 작업 문구만으로는 MST opt-in이 아닙니다. 다른 지침의 일반적인 skill discovery 문구도 이 경계를 넓힐 수 없습니다.

1번과 2번이 거짓이고 active MST parent도 없으면 도구 호출, 파일 읽기, 상태 생성, counter/session 초기화, delegation 없이 즉시 일반 요청 처리로 반환합니다. 사용자가 텍스트에 SID나 parent처럼 보이는 값을 넣어도 active parent로 간주하지 않습니다.

Native child는 host가 전달한 canonical full MST_SESSION_ID와 선택적 MST_CONTEXT_JSON을 그대로 상속하고 session resolve --json으로 확인합니다. Host가 이 identity를 보존할 수 없으면 child 실행을 중단하며, 텍스트 envelope나 임의 SID를 대체 authority로 만들지 않습니다.

이 gate는 이 문서의 나머지 모든 단계와 include보다 먼저 수행합니다.

이 skill은 canonical session lifecycle/state/delegation/dispatch/provider identity를 소비하거나 변경하지 않는 session-independent administrative/read/config utility입니다. 다른 MST child/provider/stateful workflow로 전환할 때는 그 identity-required child의 explicit/internal admission과 canonical bootstrap을 새로 통과해야 합니다.

로컬 대시보드 서버를 시작하고 브라우저에서 엽니다. 허브 구조로 여러 프로젝트 관리, 워크플로우 그래프/에이전트 스트림/문서 브라우저 제공.

요구사항

실행 프로토콜

경로 규칙 (MANDATORY): 이 스킬의 모든 .gran-maestro/ 경로는 절대경로로 사용합니다. 스킬 실행 시작 시 PROJECT_ROOT를 취득하고, 이후 모든 경로에 {PROJECT_ROOT}/ 접두사를 붙입니다.

PROJECT_ROOT=$(pwd)

{PLUGIN_ROOT}는 이 스킬의 "Base directory"에서 skills/{스킬명}/을 제거한 절대경로입니다. 상대경로(.claude/...)는 절대 사용하지 않습니다.

Read the full file on GitHub · 125 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. 8d ago First seen · 125 lines · 51 tokens per session scan A b3a67c362117

Subscribe to this mod's changes

dashboard is a skill published in the GitHub repository myrtlepn/gran-maestro (24 stars, last pushed 19d ago), licensed MIT. It adds 51 tokens to every session and 1,965 once invoked, about $0.0003 per session on Opus 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.

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