§BRAND_BINARY_NAME§-operator

§BRAND_BINARY_NAME§-operator is a skill for Claude Code, Codex from liza-mas/liza. It costs 75 tokens per session (11,154 once invoked), scanned A, original, Apache-2.0.

An operations guide for supervising a running multi-agent job from outside the group of agents doing the implementation. It covers health checks, checkpoints, stalled runs, agent environments, and deciding when to involve a person.

In plain words
What is it for?
Use it to start, monitor, repair, and plan runs of a multi-agent command-line system while escalating only decisions that genuinely need human input.
Why use it?
It provides a repeatable way to keep a multi-agent run moving and recover from routine failures. It also records lessons so safeguards address general problems rather than only the last incident.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it to start, monitor, repair, and plan runs of a multi-agent command-line system while escalating only decisions that genuinely need human input.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/liza-mas/liza/liza-operator
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 liza-mas/liza --skill liza-operator
Clone the repo
git clone --depth 1 https://github.com/liza-mas/liza

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 §BRAND_BINARY_NAME§-operator

README.md
[![agentmods](https://agentmods.dev/badge/skills/liza-mas/liza/liza-operator/github.svg)](https://agentmods.dev/skills/liza-mas/liza/liza-operator)
Your own site
<a href="https://agentmods.dev/skills/liza-mas/liza/liza-operator"><img src="https://agentmods.dev/badge/skills/liza-mas/liza/liza-operator/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 §BRAND_BINARY_NAME§-operator

Your own site · 80×15
<a href="https://agentmods.dev/skills/liza-mas/liza/liza-operator"><img src="https://agentmods.dev/badge/skills/liza-mas/liza/liza-operator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,154 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: 5 findings, up to high

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 →

  • high Memory Poisoning · line 109
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
  • 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 Rogue Agent · line 84
    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 Rogue Agent · line 84
    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.
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 $0.00075 $0.11154
Opus 5.5 $0.00030 $0.04462
Sonnet 5.5 $0.00015 $0.02231
Haiku 4.5 $0.00007 $0.01115

Measured 4d ago against content hash 7f13613191db, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

§BRAND_BINARY_NAME§-operator 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.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/critical-paths.py, scripts/test_critical_paths.py, scripts/test_watch_until.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/liza-operator/SKILL.md · 588 lines

How it starts

The opening of the file, as written. The whole thing — 588 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You operate the operator §BRAND_BINARY_NAME§ CLI in Pairing mode while §BRAND_NAME_TITLE§ agents do the implementation work. Do not join the agent pool for routine work, and never hand-edit §BRAND_PROJECT_DIRNAME§/state.yaml; that bypasses the state machine. You have full delegated authority for routine operations (act, then log) and a standing delegation for rulings, and you escalate only at genuine forks. Your objective is to keep the run progressing smoothly. Continuous watch is the default operating mode: investigate every concern and either resolve it within delegated authority or escalate it. Merely reporting a concern and continuing is not sufficient.

The run's §BRAND_PROJECT_DIRNAME§/operator-notes.md is its durable incident journal: retain resolved incidents and append their outcomes. Its separate timeless-lessons list is curated guidance; update or retire a lesson when it stops matching reality. Capture transferable principles and generalizing triggers, and tag version-specific guidance "(as of <build/date>; verify)".


Session start

  1. Tools known-good first. Before trusting a run, make sure §BRAND_BINARY_NAME§ and the review CLI (e.g. codex) are on a known-good, freshly-built version. Update — but "latest" is not always right: a new build can regress. If agents start failing in a new way right after an update, suspect the build: pin to last-known-good, rebuild, re-verify. Rebuild after pulling §BRAND_BINARY_NAME§ source (e.g. go build the binary you run). A mid-run rebuild reaches CLI calls at once but supervisors only on restart; restart every supervisor, watch and TUI together, never piecemeal: mixed binaries can disagree on liveness. While old processes remain, diff the state model between the builds: an old process silently drops a new state field it rewrites. Heartbeats live in side records beside state.yaml, so read liveness through the CLI, not by parsing state.yaml.
  2. Goal — what feature, where's the spec, what is the intended deliverable of this run (planning-only counts)? Unclear → ask first.
  3. State — §BRAND_BINARY_NAME§ status + §BRAND_BINARY_NAME§ get tasks; validation — §BRAND_BINARY_NAME§ validate before trusting state.
  4. Authority — rebuild the standing grants from the notes (trigger, permitted action, exclusions, rollback, revocation) and apply them across rounds and restarts; record new grants the same way. The standing delegation for rulings applies unless the notes narrow or revoke it. Typical grants: clearing a hold whose input the reviewed plan already gates downstream; switching to a pre-validated provider configuration during a quota outage (reviewer lists are quorum slots, not fallbacks; restore it afterwards).
  5. Start the default watch — use the human's latest requested interval for the rest of the session; otherwise default to ten minutes (/loop or the available recurring mechanism). Use on-call reporting only when explicitly requested. Keep running rounds until the human stops the watch, the run reaches a terminal state, or an escalation blocks progress. Between rounds, run event legs of python3 ~/§BRAND_GLOBAL_DIRNAME§/skills/§BRAND_BINARY_NAME§-operator/scripts/watch-until.py in the background and relaunch one after each exit with that exit's --from-offset: a leg ends on any severity-marked alert, a mode change, run completion or the round tick, so the watch lasts for the run, not for a tool timer. Smoke-test one short leg (--tick 30) at session start. A watch rebuilt ad hoc in session scratch space is not a fix. Before the human leaves the operator unattended, pre-flight one harmless relay in exactly the command form you will use, while they can still approve a prompt.
  6. First report — starting state, the goal you understood, the current delivery objective, the delegation in force, and the dominant blocking chain if any.

Read the full file on GitHub · 588 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 Changed 7f13613191db
  2. 8d ago Changed · +3 lines c26dcf33dc9c
  3. 13d ago Changed · +1 lines 973bed278e88
  4. 20d ago Changed · +92 lines 6146978ce5ab
  5. 22d ago Changed a53a43ebc71e
  6. 23d ago Changed · +47 lines ef1237a668c4
  7. 25d ago Changed · +35 lines 6cc0ccd9e261
  8. 26d ago Changed 2f19d90cc2c5
  9. 1mo ago Changed · +3 lines 752f6315ae62
  10. 1mo ago First seen · 407 lines · 75 tokens per session scan A 23767a8bed71

Subscribe to this mod's changes

§BRAND_BINARY_NAME§-operator is a skill published in the GitHub repository liza-mas/liza (417 stars, last pushed yesterday), licensed Apache-2.0. It adds 75 tokens to every session and 11,154 once invoked, about $0.0003 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.

Related

§BRAND_BINARY_NAME§-operator compared with skills from other repositories

§BRAND_BINARY_NAME§-operator next to 6 skills from other repositories
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playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
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chat-pet-sprite-creationmicrosoft/vscodeSkill195ktodayMITA53Claude Code, Codex