init

An optional onboarding workflow for the mARC agent team, a group of coding assistants that work together in a repository. It prepares persistent team configuration so those assistants can use repository-specific settings in later sessions.

In plain words
What is it for?
Use it to discover the repository's organization and project, prepare a team.toml configuration file, and optionally prepare an AGENTS.md file. It is intended for setting up persistent agent-team behavior.
Why use it?
Without configuration, the team relies on temporary session memory and must rediscover repository details. The workflow also makes every proposed file change visible and requires separate approval before writing it.

Skill for Claude CodeCodex

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/nexaduo/marc/init
Any agent
npx skills add NexaDuo/mARC --skill init
Clone the repo
git clone --depth 1 https://github.com/NexaDuo/mARC

Made for: Claude Code, Codex.

Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,354 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00122 $0.03354
Opus 5 $0.00061 $0.01677
Sonnet 5 $0.00024 $0.00671
Haiku 4.5 $0.00012 $0.00335

Measured 2d ago against content hash d6ab7d33c5ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

init 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 2d 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.

core/skills/init/SKILL.md · 290 lines

How it starts

The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/marc:init — opt-in onboarding & config scaffolding

You are running the mARC onboarding flow. Your job is to help the user turn a zero-config repo into one with a persistent, versioned team binding, so @techlead and the specialists stop relying on ephemeral session memory and read the repo's concrete facts from {{ agents_dir }}/team.toml (and optionally AGENTS.md) at the start of every session.

The one rule that overrides everything

Nothing is ever written silently. For every artifact you produce you MUST:

  1. Discover / compose the exact content.
  2. Show that exact content to the user (fenced, verbatim).
  3. Ask for an explicit "yes" for that specific artifact.
  4. Write only on that confirmation, to the path shown.

There are three independent, individually opt-in artifacts. The user may accept any subset (including none). Never bundle them into one confirmation. Never infer approval from silence or from a "yes" to a different artifact. If the user declines everything, the repo is left byte-for-byte unchanged and zero-config behavior is fully preserved.

Do not invent facts. Anything you cannot discover empirically becomes a clearly-marked TODO placeholder, never a guess.


Step 0 — Discover the repo facts at runtime (no hardcoded values)

Mirror the tech-lead skill's runtime-discovery pattern. Resolve values from gh against the checked-out repo; do not hardcode any org, repo slug, or project number in this flow.

Batch the probes into ONE block. Run all discovery in a single Bash invocation so onboarding doesn't fire a permission prompt per gh call (a dogfood run fired ~7). This block is read-only discovery — the Write confirmations below (steps 2-4 of the one rule) are the intentional safety gate and are NOT what we are reducing; every file write still stops for an explicit "yes".

# Where onboarding writes (the CONSUMING repo, not the plugin):
ROOT="${{{ project_dir_env }}:-$PWD}"

# --- ORG + REPO (from the checked-out repo) ---
GH_REPO="$(gh repo view --json nameWithOwner -q .nameWithOwner 2>/dev/null)"
GH_ORG="${GH_REPO%%/*}"

# --- PROJECT (v2) candidates for the org, if any ---
# Needs the `project` scope; if it errors with "missing required scopes", tell the
# user to run `gh auth refresh -s project,read:project` once, then retry. Do not
# fabricate a number — leave it as a TODO if it can't be read. LIST candidates
# (number + title); the guard below decides — never auto-pick .projects[0].
echo "== org/repo: ${GH_REPO:-<unresolved>} =="
gh project list --owner "$GH_ORG" --format json 2>/dev/null \
  | jq -r '.projects[] | "\(.number)\t\(.title)"'

Read the full file on GitHub · 290 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. 2d ago First seen · 290 lines · 122 tokens per session scan A d6ab7d33c5ca

Subscribe to this mod's changes

init is a skill published in the GitHub repository NexaDuo/mARC (6 stars, last pushed 2d ago), licensed MIT. It adds 122 tokens to every session and 3,354 once invoked, about $0.0006 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 2026-08-31.

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