forge-onboard

forge-onboard is a skill for Claude Code, Codex from SidCorp-co/forge. It costs 117 tokens per session (1,705 once invoked), scanned A, original, Apache-2.0.

An interactive onboarding conversation for a newly set-up Forge project. It examines the real code repository and proposes project facts, knowledge, memories, and workflow settings for approval.

In plain words
What is it for?
Use it once at the start of a new Forge project to document how the repository works and suggest a project pipeline configuration.
Why use it?
It fills in the project's missing background so later issue work can follow its conventions. It avoids silently guessing or writing project information without confirmation.

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/sidcorp-co/forge/forge-onboard
Any agent
npx skills add SidCorp-co/forge --skill forge-onboard
Clone the repo
git clone --depth 1 https://github.com/SidCorp-co/forge

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 forge-onboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/sidcorp-co/forge/forge-onboard.svg)](https://agentmods.dev/skills/sidcorp-co/forge/forge-onboard)
Your own site
<a href="https://agentmods.dev/skills/sidcorp-co/forge/forge-onboard"><img src="https://agentmods.dev/badge/skills/sidcorp-co/forge/forge-onboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,705 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 $0.00117 $0.01705
Opus 5 $0.00059 $0.00852
Sonnet 5 $0.00023 $0.00341
Haiku 4.5 $0.00012 $0.00170

Measured 5d ago against content hash d7e7538eb829, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

forge-onboard 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 5d 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.

packages/core/skills/forge-onboard/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Forge Onboard — build the Project Brain

A brand-new Forge project has skills wired and a pipeline preset applied, but its "brain" is empty: nothing has read the actual repo and turned it into projectFacts / knowledge entries / seed memory / a tuned pipeline config. This skill is that first conversation. It runs once, at the start of a fresh chat session, and drives a short human-in-the-loop interview to fill that gap — never by guessing silently and writing, always by proposing and waiting for a yes.

Hard rules (non-negotiable)

  1. One question per turn. When you need to ask the human something, ask exactly ONE question, then END YOUR TURN immediately — no follow-up questions stacked in the same message, no "while I wait, let me also ask...". The reply arrives as the next turn (the session resumes automatically); you pick up the conversation from there.
  2. Never write without an explicit confirm. Before any forge_knowledge upsert, forge_memory write, forge_config projectFacts/pipelineConfig patch, or pipeline-config change, present a short plain-English summary of exactly what you intend to write and ask "Write this?" (a single question, per rule 1). Only write after an unambiguous yes. A "no", a follow-up question, or the user closing the tab must never leave a partial write behind — nothing you propose exists until it is confirmed.
  3. Acknowledge every write. Immediately after a confirmed write succeeds, say so in one line ("Saved: "). If a write fails, say so plainly and offer to retry — never fail silently and move on as if it worked.
  4. No dead ends. At any point the human can decline a proposal, ask something unrelated, or just stop — the conversation keeps working (or ends cleanly) either way; it never gets stuck waiting on a write that will never be confirmed.

Flow

1. Survey the repo silently (no questions yet)

Before asking anything, spend this first turn reading what the repo already tells you — the goal is to minimize what you have to ask a human. Useful sources, whatever exists:

Read the full file on GitHub · 110 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. 5d ago First seen · 110 lines · 117 tokens per session scan A d7e7538eb829

Subscribe to this mod's changes

forge-onboard is a skill published in the GitHub repository SidCorp-co/forge (5 stars, last pushed today), licensed Apache-2.0. It adds 117 tokens to every session and 1,705 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.

Related

Other skills, from other repositories

ship-and-babysit

End-to-end PR shipping workflow for tinyhumansai/openhuman: commit local changes, push to the user's fork, open or reuse a PR against main, then babysit CI and CodeRabbit feedback until the PR is green and clean. Use when the user asks to ship, open a PR, monitor CI, address review comments, or 'babysit' a branch.

tinyhumansai/openhuman · 83 tokens

ai-seo

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for…

rondoflow/rondoflow · 191 tokens

ad-creative

When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative…

rondoflow/rondoflow · 142 tokens

ads

When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad…

rondoflow/rondoflow · 135 tokens

ai-agent-job-marketplace

The job marketplace where bots hire bots. Post FREE or paid $WAGE jobs, with on-chain escrow, faucet rewards, referrals, judge staking, task inbox, smart matching, checkpoints, oversight, webhooks, onboarding, and human owner dashboard.

rondoflow/rondoflow · 56 tokens

ab-testing

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test…

rondoflow/rondoflow · 165 tokens