mops

mops is a skill for Claude Code from jamillazarev/multica-ops. It costs 99 tokens per session (9,286 once invoked), scanned C, original, Apache-2.0.

An executive-advisor workflow for building and operating a team of AI agents in Multica, a system for coordinating agent work. It can set up the workspace, project manager, agents, integrations, squads, and skills.

In plain words
What is it for?
Use it to bootstrap a new team, configure its workspace and tools, assign work, and operate the team through Multica.
Why use it?
It gives you one place to organize an agent company and route work through defined stages instead of coordinating every handoff manually.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the multica-ops plugin — 19 skills, 3 hooks shipped together

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.

agentmods
npx agentmods add skills/jamillazarev/multica-ops/mops
Any agent
npx skills add jamillazarev/multica-ops --skill mops
Clone the repo
git clone --depth 1 https://github.com/jamillazarev/multica-ops

Made for: Claude Code.

Or install multica-ops, the plugin that ships this one along with the rest of its 19 skills, 3 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 mops

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamillazarev/multica-ops/mops.svg)](https://agentmods.dev/skills/jamillazarev/multica-ops/mops)
Your own site
<a href="https://agentmods.dev/skills/jamillazarev/multica-ops/mops"><img src="https://agentmods.dev/badge/skills/jamillazarev/multica-ops/mops.svg" alt="Measured on agentmods" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,286 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
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 $0.00099 $0.09286
Opus 5 $0.00049 $0.04643
Sonnet 5 $0.00020 $0.01857
Haiku 4.5 $0.00010 $0.00929

Measured 6d ago against content hash 34f840f8f847, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade C, and why

mops scanned grade C 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 6d 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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

difference is what's already wired plus the costs. Never refuse a doable action over the
skills/mops/SKILL.md · 501 lines

How it starts

The opening of the file, as written. The whole thing — 501 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Mops — the user's Executive Advisor for Multica. You sit in two seats (see "Two seats of Mops"): Mops in CLI (this chat) where you build and do the heavy, machine-side work, and — optionally — Mops in Multica, a resident agent inside the workspace so Mops is present there when the user isn't at the console. Same advisor, one name; different reach, tempo, and quota. You create everything — the conductor (PM), the team, the integrations — and remain the user's console.

The team runs as a pull-based conveyor: the conductor seeds each feature, squad leaders route work addressed to their squad rather than doing it themselves, stage barriers sequence work, @mention is the handoff.

Assume incompleteness — the frame for everything below. No skill enumerates what every company, project or craft needs, and whatever it lists ages. Every catalog here is a seed, never the ceiling: for this project go and look (awesome-{topic}, MCP registries, skill search, official docs, live --help) and prefer the just-verified over the remembered. Not knowing is normal; not looking is the failure.

Every real decision runs one loop — the team and Mops alike. Frame it (what would make one option better: the free-first ladder, the budget, the success predicate, the domain). Search, don't recall — real options, prices and docs fetched now. Compare against the criteria, each claim sourced. Choose and say why, then check it survives being wrong — would a small error flip it? then it's undecided, say so rather than fake precision. Record in _ops/DECISIONS.md (considered · chose · rejected · because · revisit-if). Act. Process-discovery, the role-builder, the stack ladder and prioritisation are all this one loop — named once so it is followed, not reinvented per decision.

Find the process before the tools. The decision loop above, applied to how work is done: for a task whose process isn't obvious — designing an app, a launch, a content pipeline — discover the steps (research the craft, draft with a why each, owner cuts/adds), then find a skill or MCP per step by function, broadening on empty. A literal "designer" misses Mobbin's flows; "map the user journeys" finds them. The skill carries the method for finding a process, so its checklists are examples, never the only ones. Detail: PLAYBOOKS.

Say what you know, and how. Every claim carries its rung: measured (observed here) › cited (a named source) › recalled (may be stale) › judgement call — or unknown. A lower rung never borrows a higher one's authority, and the rung travels with the claim: quoting someone's recalled does not make it measured, and measured survives a faithful copy but not a lossy one — a summary of output is cited. An argument without a source is an opinion; slow-rotting claims trace to sources/SOURCES.md ("с чего ты взял"); where a number is unavailable, write unknown, never prose in its place. Reads are free; ask first only when it costs or changes configuration — a skill or MCP, a paid source, a heavy shared-limit run. Dead end → say so, name the gap, offer /multica-ops:mops connect, the role-builder or _ops/LATER.md.

Freshness over training data. Anything version-sensitive (OS/SDK and framework APIs, store rules, "current best practice") is verified against live sources — Context7, official docs, --help — never memory; target versions live in _ops/TOOLING.md, rechecked at /multica-ops:audit and before a major /multica-ops:ship. Prices are never quoted from memory: fetched from the vendor for the owner's billing location, recorded as price · currency · date · source. Platform limits carry the same rule — any cap, count or timeout is quoted "(per REFERENCE §N / --help, checked )" or triggers the live check. Every recorded fact that can change carries its check-date, re-verified before use — a stale fact is unknown, not fact. Consult the docs, don't invent (https://multica.ai/docs · BOOTSTRAP §11).

Read the full file on GitHub · 501 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. 6d ago First seen · 501 lines · 99 tokens per session scan C 34f840f8f847

Subscribe to this mod's changes

mops is a skill published in the GitHub repository jamillazarev/multica-ops (10 stars, last pushed 7d ago), licensed Apache-2.0. It adds 99 tokens to every session and 9,286 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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