session-management

session-management is a skill for Claude Code from josstei/maestro-orchestrate. It costs 15 tokens per session (47 once invoked), scanned A, original, Apache-2.0.

A method for managing Maestro's saved orchestration sessions, including their state, tracking, and resumption.

In plain words
What is it for?
Use it when a project needs to track session progress and resume unfinished orchestration work.
Why use it?
It keeps multi-step work organized across interruptions and phases.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the maestro plugin — 19 skills, 33 agents, 1 MCP server shipped together

Good fit Use it when a project needs to track session progress and resume unfinished orchestration work.

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

Made for: Claude Code.

Or install maestro, the plugin that ships this one along with the rest of its 19 skills, 33 agents, 1 MCP server.

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 session-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/josstei/maestro-orchestrate/session-management/github.svg)](https://agentmods.dev/skills/josstei/maestro-orchestrate/session-management)
Your own site
<a href="https://agentmods.dev/skills/josstei/maestro-orchestrate/session-management"><img src="https://agentmods.dev/badge/skills/josstei/maestro-orchestrate/session-management/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 session-management

Your own site · 80×15
<a href="https://agentmods.dev/skills/josstei/maestro-orchestrate/session-management"><img src="https://agentmods.dev/badge/skills/josstei/maestro-orchestrate/session-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 47 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.
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 $0.00015 $0.00047
Opus 5.5 $0.00006 $0.00019
Sonnet 5.5 $0.00003 $0.00009
Haiku 4.5 $0.00002 $0.00005

Measured 10d ago against content hash 0ded3818475a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

session-management 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 10d 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.

claude/skills/session-management/SKILL.md · 8 lines

What it actually says

Methodology loaded via MCP. Call get_skill_content(resources: ["session-management"]).

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. 10d ago First seen · 8 lines · 15 tokens per session scan A 0ded3818475a

Subscribe to this mod's changes

session-management is a skill published in the GitHub repository josstei/maestro-orchestrate (484 stars, last pushed 6d ago), licensed Apache-2.0. It adds 15 tokens to every session and 47 once invoked, about $0.0001 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 2026-10-07.

Related

Other skills, from other repositories

spec-kitty-implement-review

Orchestrate the implement-review loop for Spec Kitty work packages using any configured agent. Covers agent dispatch, state transitions, rejection cycles, arbiter escalation, and dependency-aware sequencing across all 13 supported coding agents. Triggers: "implement and review WPs", "run the implement-review loop"…

Priivacy-ai/spec-kitty · 120 tokens

spec-kitty-runtime-review

Review runtime-owned outputs using the Spec Kitty review workflow surface, then direct approval or rejection with structured feedback. Triggers: "review this work package", "check runtime output", "approve this step", "review WP", "is this WP ready to approve", "check this implementation". Does NOT handle: setup-only…

Priivacy-ai/spec-kitty · 85 tokens

01-sdlc

Orchestrates a request from framing to a draft pull request, autonomous or supervised, isolating implementation, independent review, and final outcome challenge. Use when the user wants to deliver a change end to end. Not for one step.

ai-driven-dev/framework · 52 tokens

00-async-dev

Drive the async-dev pipeline from one entry point, whether setup, run, or review. Use when the user wants to install async dev, run a ready issue, or address PR review comments, or on a webhook trigger. Not for plain status checks.

ai-driven-dev/framework · 56 tokens

ticket-manager

Expertise in managing Linear tickets locally using Markdown files. Use when you need to create, update, search, or break down features into atomic implementation tickets.

galdawave/pickle-rick-extension · 34 tokens

conductor-review

Reviews a completed track against its plan and guidelines; auto-archives on pass, auto-deletes and restarts on fail.

vasilistsavalias/conductor_for_codex · 28 tokens