live-agent-lifecycle

live-agent-lifecycle is a skill for Claude Code, Codex from baphuongna/pi-crew. It costs 18 tokens per session (1,937 once invoked), scanned A, original, MIT.

A system for registering and managing AI workers while they are running, including their workspace, status, activity, messages, and termination.

In plain words
What is it for?
Use it to create isolated worker sessions, monitor their activity, send follow-up instructions, stop them, and remove inactive sessions.
Why use it?
It keeps live worker sessions separate from saved records and helps the application track workers reliably during restarts and concurrent work.

Skill for Claude CodeCodex

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

Good fit Use it to create isolated worker sessions, monitor their activity, send follow-up instructions, stop them, and remove inactive sessions.

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Install with agentmods
npx agentmods add skills/baphuongna/pi-crew/live-agent-lifecycle
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 baphuongna/pi-crew --skill live-agent-lifecycle
Clone the repo
git clone --depth 1 https://github.com/baphuongna/pi-crew

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 live-agent-lifecycle

README.md
[![agentmods](https://agentmods.dev/badge/skills/baphuongna/pi-crew/live-agent-lifecycle/github.svg)](https://agentmods.dev/skills/baphuongna/pi-crew/live-agent-lifecycle)
Your own site
<a href="https://agentmods.dev/skills/baphuongna/pi-crew/live-agent-lifecycle"><img src="https://agentmods.dev/badge/skills/baphuongna/pi-crew/live-agent-lifecycle/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 live-agent-lifecycle

Your own site · 80×15
<a href="https://agentmods.dev/skills/baphuongna/pi-crew/live-agent-lifecycle"><img src="https://agentmods.dev/badge/skills/baphuongna/pi-crew/live-agent-lifecycle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,937 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 MCP Rug Pull · line 204
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00018 $0.01937
Opus 5 $0.00009 $0.00968
Sonnet 5 $0.00004 $0.00387
Haiku 4.5 $0.00002 $0.00194

Measured 9d ago against content hash a5a2ec63581d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

live-agent-lifecycle 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 9d 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/live-agent-lifecycle/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

live-agent-lifecycle

Live agents are real-time, in-memory worker sessions managed by LiveAgentManager (src/runtime/live-agent-manager.ts). They are distinct from CrewAgentRecord files on disk — live agents provide real-time activity (tool names, response text, turn count) while agent records are durable snapshots.

Architecture

LiveAgentHandle is the core data structure:

interface LiveAgentHandle {
  agentId: string;        // unique per run
  taskId: string;         // maps to task
  runId: string;          // run this agent belongs to
  workspaceId: string;   // manifest.cwd — workspace boundary
  role?: string;
  agent?: string;
  modelName?: string;
  session: LiveSessionHandle; // steer/prompt/abort/dispose
  status: CrewAgentRecord["status"];
  pendingSteers: string[];
  pendingFollowUps: string[];
  pendingMessages: IrcMessage[];
  activity: LiveAgentActivity; // real-time tracking
  createdAt: string;
  updatedAt: string;
}

The in-memory liveAgents Map stores all active handles. It is never persisted — on Pi restart, the Map is empty and agents are re-created from agent records.

Registration

registerLiveAgent(input, eventLogFn?, eventsPath?) is called when a live session worker starts. It:

  1. Creates or reuses the handle in liveAgents Map
  2. Preserves pending steers/followups from previous sessions
  3. Emits live_agent.registered event to events.jsonl
  4. Flushes any pending steers/followups immediately if the session already has the methods

Key caller sites:

  • live-session-runtime.ts — when a live session agent starts
  • live-executor.ts — when spawning a live task
  • (workspaceId is passed through the entire call chain)

Workspace Isolation

workspaceId: string field is the workspace boundary. Set to manifest.cwd at registration time.

Why it matters: When Pi has multiple workspace folders open, agents from workspace A must not be visible or controllable from workspace B. Every handle carries its origin workspace.

Read the full file on GitHub · 207 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. 9d ago First seen · 207 lines · 18 tokens per session scan A a5a2ec63581d

Subscribe to this mod's changes

live-agent-lifecycle is a skill published in the GitHub repository baphuongna/pi-crew (52 stars, last pushed 4d ago), licensed MIT. It adds 18 tokens to every session and 1,937 once invoked, about $0.0001 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 2026-08-30.

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