onboarding

onboarding is a skill for Claude Code from huytieu/COG-second-brain. It costs 28 tokens per session (112 once invoked), scanned A, original, MIT.

A guided setup process that creates a personal profile, interest list, and watchlist for COG, a content and research workflow.

In plain words
What is it for?
Use it to configure your interests and monitoring topics before using the other COG workflows.
Why use it?
It gives later tasks information about your preferences instead of making them start without context.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths; installed under .agents/ (shared by several agents).

Part of the COG-second-brain plugin — 33 skills, 10 agents shipped together

Good fit Use it to configure your interests and monitoring topics before using the other COG workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/huytieu/cog-second-brain/onboarding
About the project

COG is an AI-assisted second brain that stores knowledge in Markdown files and uses agents, skills, and version control to evolve it over time. It helps people manage knowledge and contacts while supporting several coding-agent tools; the catalogue entries are COG’s skills, agents, instructions, rules, and plugin surfaces.

huytieu/COG-second-brain · 1,175 stars · on GitHub

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.

Any agent
npx skills add huytieu/COG-second-brain --skill onboarding
Clone the repo
git clone --depth 1 https://github.com/huytieu/COG-second-brain

Made for: Claude Code.

Or install COG-second-brain, the plugin that ships this one along with the rest of its 33 skills, 10 agents.

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 onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/huytieu/cog-second-brain/onboarding.svg)](https://agentmods.dev/skills/huytieu/cog-second-brain/onboarding)
Your own site
<a href="https://agentmods.dev/skills/huytieu/cog-second-brain/onboarding"><img src="https://agentmods.dev/badge/skills/huytieu/cog-second-brain/onboarding.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 112 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

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 →

  • medium Agent Snooping · line 6
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
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 $0.00028 $0.00112
Opus 5 $0.00014 $0.00056
Sonnet 5 $0.00006 $0.00022
Haiku 4.5 $0.00003 $0.00011

Measured 7d ago against content hash 96840203d3e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

onboarding 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 7d 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.

.agents/skills/onboarding/SKILL.md · 11 lines

What it actually says

Read .claude/skills/onboarding/SKILL.md and execute it exactly as written — that file is the authoritative playbook. Then follow .agents/rules/cog.md.

Antigravity substitution: where the playbook delegates to a .claude/agents/<name> worker, invoke .agents/agents/<name>.md via invoke_subagent instead.

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. 7d ago First seen · 11 lines · 28 tokens per session scan A 96840203d3e4

Subscribe to this mod's changes

onboarding is a skill published in the GitHub repository huytieu/COG-second-brain (1,175 stars, last pushed 13d ago), licensed MIT. It adds 28 tokens to every session and 112 once invoked, about $0.0001 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 2026-08-30.

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