k-onboard

k-onboard is a skill for Claude Code from kunbo928/kflow. It costs 24 tokens per session (343 once invoked), scanned A, original, no licence file.

A guide for creating a repository’s first verified project map and agent collaboration agreement. A project map explains the codebase, while the agreement records how agents should work in it.

In plain words
What is it for?
Use it when onboarding an agent to a repository or documenting its structure, conventions, and collaboration rules.
Why use it?
It gives agents a shared, checked understanding of an unfamiliar repository before they make changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the kflow plugin — 14 skills shipped together

Good fit Use it when onboarding an agent to a repository or documenting its structure, conventions, and collaboration rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kunbo928/kflow/k-onboard
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 kunbo928/kflow --skill k-onboard
Clone the repo
git clone --depth 1 https://github.com/kunbo928/kflow

Made for: Claude Code.

Or install kflow, the plugin that ships this one along with the rest of its 14 skills.

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 k-onboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/kunbo928/kflow/k-onboard.svg)](https://agentmods.dev/skills/kunbo928/kflow/k-onboard)
Your own site
<a href="https://agentmods.dev/skills/kunbo928/kflow/k-onboard"><img src="https://agentmods.dev/badge/skills/kunbo928/kflow/k-onboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 343 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 unknown 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 $0.00024 $0.00343
Opus 5 $0.00012 $0.00171
Sonnet 5 $0.00005 $0.00069
Haiku 4.5 $0.00002 $0.00034

Measured 8d ago against content hash d128db2875be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

k-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 8d 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.

skills/k-onboard/SKILL.md · 22 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 8d ago First seen · 22 lines · 24 tokens per session scan A d128db2875be

Subscribe to this mod's changes

k-onboard is a skill published in the GitHub repository kunbo928/kflow (10 stars, last pushed 22d ago), with no licence file. It adds 24 tokens to every session and 343 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 2026-08-31.

Related

Other skills, from other repositories

opensrc

Fetch dependency source code to give AI agents deeper implementation context. Use when the agent needs to understand how a library works internally, read source code for a package, fetch implementation details for a dependency, or explore how an npm/PyPI/crates.io package is built. Triggers include "fetch source for"…

vercel-labs/opensrc · 103 tokens

{{BUCKET}}-management

Skill "{{BUCKET}}-management" from damusix/atomic-claude, covering purpose, doc shape and frontmatter contract.

damusix/atomic-claude · 0 tokens

creating-issues-and-pull-requests

Use when creating GitHub pull requests or issues with template compliance. Triggers: 'create a PR', 'open a pull request', 'file an issue', 'create issue'. Also invoked by finishing-a-development-branch. NOT for: deciding whether to merge or PR (use finishing-a-development-branch).

axiomantic/spellbook · 71 tokens

estimating-tickets

Algorithmically estimate engineering tickets, JIRA cards, test cards, or feature requests. Produces well-scoped, AI-productivity-adjusted, PERT-buffered estimates with 80/90/95% confidence intervals for single and multi-engineer execution. Triggers - "estimate this ticket", "estimate this card", "size this", "story…

axiomantic/spellbook · 113 tokens

gathering-requirements

Use when eliciting or clarifying feature requirements, defining scope, identifying constraints, or capturing user needs. Triggers: 'what are the requirements', 'define the requirements', 'scope this feature', 'user stories', 'acceptance criteria', 'what should this do', 'what problem are we solving', 'what are the…

axiomantic/spellbook · 82 tokens

jira-issue-create

Create one or more Jira issues through acli from user-approved drafts using heading-based Context, Acceptance criteria, and Engineering notes sections. Use only when explicitly invoked to create Jira issues; use jira-issue-refine when requirements still need refinement.

yarlson/yarstack · 53 tokens