firstmate is an agent distribution that lets one coding agent coordinate a crew of autonomous agents working in separate git worktrees. It is for running parallel fixes, investigations, plans, and audits while receiving completed pull requests, merges, or reports through one supervising agent. The catalogue entries provide skills, hooks, instructions, and settings for operating this workflow.
Borrowing it
Nothing to install: this file belongs to kunchenguid/firstmate. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kunchenguid/firstmate/main/.agents/skills/quota-array-dispatch/SKILL.mdgit clone --depth 1 https://github.com/kunchenguid/firstmateWrote 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.
[](https://agentmods.dev/skills/kunchenguid/firstmate/quota-array-dispatch)<a href="https://agentmods.dev/skills/kunchenguid/firstmate/quota-array-dispatch"><img src="https://agentmods.dev/badge/skills/kunchenguid/firstmate/quota-array-dispatch/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.
<a href="https://agentmods.dev/skills/kunchenguid/firstmate/quota-array-dispatch"><img src="https://agentmods.dev/badge/skills/kunchenguid/firstmate/quota-array-dispatch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Rogue Agent · line 13 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.02595 |
| Opus 5.5 | $0.00009 | $0.01038 |
| Sonnet 5.5 | $0.00004 | $0.00519 |
| Haiku 4.5 | $0.00002 | $0.00260 |
Grade A, and why
quota-array-dispatch 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
quota-array-dispatch
This skill is the single owner of the completion-aware profile-array selection procedure.
AGENTS.md section 4 owns the always-loaded intake boundary, load trigger, malformed-config refusal, every-candidate accounting, and strongest-reasoning/tie safety rules.
harness-adapters owns harness verification, model/provider discovery, and effort fallback.
quota-axi remains data-only: it publishes spendPriority as a comparable scalar and never recommends, selects, ranks, or infers a route.
Do not add a daemon, opaque composite score, routing wrapper, hard-coded model-specific policy, or producer-side route recommendation.
The worker helper and typed resolver own their deterministic mapping boundaries.
Worker-side quota helper
The canonical shell helper for a worker that has already performed its model-selection reasoning and now needs to pick the first viable candidate is bin/fm-quota-choose.sh.
Pass it the intake's already-captured default TOON or permitted JSON fallback through stdin or --snapshot; it never takes another quota snapshot, so it selects from the same quota state as the intake.
Pass each candidate as harness:model, with earlier candidates preferred.
The helper's header owns its provider mapping and quota selection mechanics.
An exhausted_now runway vetoes the candidate.
The helper selects a candidate only when its applicable quota has a known effectivePercentRemaining greater than zero.
This is an optional narrow helper with a known limitation: it maps each harness to one primary provider family only, so a candidate whose established provider differs from that primary family is checked against the wrong quota row.
omp has no primary family, so the helper keys an omp: candidate on its model prefix, mapping only openai-codex/ and claude-bridge/ and refusing every other prefix; the helper's header owns that mapping.
Authoritative multi-provider routing - including provider discovery from the harness catalog and quota matching by that explicit provider - stays owned by this skill's intake procedure above and AGENTS.md section 4, not by the helper.
Use it only when the brief already fixed the candidate order and every candidate's provider is the harness's primary family.
It does not replace the reasoning-class, runway-feasibility, or authentication gates above.
Firstmate can optionally arm bin/fm-procevent-quota.sh for a recurring mid-task check that wakes when the tracked provider drops below its configured threshold or its runway becomes exhausted_now.
The opt-in typed resolver has its own documented gates.
It never removes this skill's authority, and its ambiguous, escalate, and error outcomes return here.
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.
- yesterday Changed 689c9347a7c6
- 2d ago Changed c7bd2e99b7bc
- 4d ago Changed · -3 lines · -30 tokens per session 8986e8a36010
- 1mo ago Changed · +1 lines 82c09ed8b349
- 1mo ago Changed · +1 lines 1d8ada0939c3
- 1mo ago Changed · +1 lines 0bf04859d512
- 1mo ago Changed · +14 lines 411900a7af94
- 1mo ago First seen · 118 lines · 52 tokens per session scan A 0967f36f6e7c
quota-array-dispatch is a skill published in the GitHub repository kunchenguid/firstmate (8,295 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 2,595 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 2026-08-30.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
component-fixtures
Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.