multi-agent-collaboration-system: Skill for Claude Code

.agents/skills/before-dev/SKILL.md

before-dev is a skill for Claude Code, Codex from lxyer/multi-agent-collaboration-system. It costs 68 tokens per session (352 once invoked), scanned A, a copy of trellis-before-dev, MIT.

A pre-development guide that finds and supplies project-specific coding rules before implementation starts. It reads specification indexes and the relevant guidelines for the package being changed.

In plain words
What is it for?
Finding the packages and specification layers that apply to a task, reading the required development guides, and preparing the agent before code changes begin.
Why use it?
It reduces the risk of writing code that conflicts with the repository's conventions, checklists, or package-specific requirements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is lxyer/multi-agent-collaboration-system's own configuration. It tells Claude Code and Codex how to work on multi-agent-collaboration-system itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything multi-agent-collaboration-system configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 ./.trellis/scripts/get_context.py --mode packages.

Reuse

Borrowing it

Nothing to install: this file belongs to lxyer/multi-agent-collaboration-system. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lxyer/multi-agent-collaboration-system/main/.agents/skills/before-dev/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/lxyer/multi-agent-collaboration-system

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 before-dev

README.md
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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.

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Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 352 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 89% copy Near-identical to another mod 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 $0.00068 $0.00352
Opus 5.5 $0.00027 $0.00141
Sonnet 5.5 $0.00014 $0.00070
Haiku 4.5 $0.00007 $0.00035

Measured 1mo ago against content hash 8ba9c9703b6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

before-dev 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 1mo 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.

Origin

This is a copy

89% identical to trellis-before-dev — 20 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/before-dev/SKILL.md · 35 lines

What it actually says

Read the relevant development guidelines before starting your task.

Execute these steps:

  1. Discover packages and their spec layers:

    python3 ./.trellis/scripts/get_context.py --mode packages
    
  2. Identify which specs apply to your task based on:

    • Which package you're modifying (e.g., cli/, docs-site/)
    • What type of work (backend, frontend, unit-test, docs, etc.)
  3. Read the spec index for each relevant module:

    cat .trellis/spec/<package>/<layer>/index.md
    

    Follow the "Pre-Development Checklist" section in the index.

  4. Read the specific guideline files listed in the Pre-Development Checklist that are relevant to your task. The index is NOT the goal — it points you to the actual guideline files (e.g., error-handling.md, conventions.md, mock-strategies.md). Read those files to understand the coding standards and patterns.

  5. Always read shared guides:

    cat .trellis/spec/guides/index.md
    
  6. Understand the coding standards and patterns you need to follow, then proceed with your development plan.

This step is mandatory before writing any code.

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. 1mo ago First seen · 35 lines · 68 tokens per session scan A 8ba9c9703b6f

Subscribe to this mod's changes

before-dev is a skill published in the GitHub repository lxyer/multi-agent-collaboration-system (1 stars, last pushed 6mo ago), licensed MIT. It adds 68 tokens to every session and 352 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to trellis-before-dev, differing in 20 lines, and is treated as a copy.