opencodehub: Skill for Claude Code

.claude/skills/codehub-onboarding/SKILL.md

codehub-onboarding is a skill for Claude Code from theagenticguy/opencodehub. It costs 107 tokens per session (1,427 once invoked), scanned A, original, Apache-2.0.

A tool for creating an onboarding guide for a code repository or group of repositories. Onboarding is the process of helping a new engineer understand a project and start contributing.

In plain words
What is it for?
Use it to generate an ONBOARDING.md file that guides new engineers through the most important project files, routes, commands, and concepts.
Why use it?
It turns information about the project, its entry points, and its main processes into a ranked reading order instead of a generic checklist.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; mentions subagents.

This is theagenticguy/opencodehub's own configuration. It tells Claude Code how to work on opencodehub 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 opencodehub configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is - Read [architecture/system-overview.md](./docs/architecture/system-overview.md) if `codehub-document` has already produced it..

Reuse

Borrowing it

Nothing to install: this file belongs to theagenticguy/opencodehub. 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/theagenticguy/opencodehub/main/.claude/skills/codehub-onboarding/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/theagenticguy/opencodehub

Made for: Claude Code.

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 codehub-onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/theagenticguy/opencodehub/codehub-onboarding/github.svg)](https://agentmods.dev/skills/theagenticguy/opencodehub/codehub-onboarding)
Your own site
<a href="https://agentmods.dev/skills/theagenticguy/opencodehub/codehub-onboarding"><img src="https://agentmods.dev/badge/skills/theagenticguy/opencodehub/codehub-onboarding/github.svg" alt="Measured on agentmods" height="20"></a>

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.

agentmods 80×15 button for codehub-onboarding

Your own site · 80×15
<a href="https://agentmods.dev/skills/theagenticguy/opencodehub/codehub-onboarding"><img src="https://agentmods.dev/badge/skills/theagenticguy/opencodehub/codehub-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,427 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 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 $0.00107 $0.01427
Opus 5.5 $0.00043 $0.00571
Sonnet 5.5 $0.00021 $0.00285
Haiku 4.5 $0.00011 $0.00143

Measured 2mo ago against content hash 4ee1ace6eb0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codehub-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 2mo 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.

.claude/skills/codehub-onboarding/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

codehub-onboarding

Produces a single ONBOARDING.md with a ranked reading order drawn from graph centrality. The wedge is the ranked reading list — a generic README scaffold cannot produce this.

Preconditions

  1. mcp__codehub__list_repos returns the target. If not, emit Run codehub analyze first — repo <name> is not indexed. and stop.
  2. codehub status is fresh. If stale, emit Run 'codehub analyze' first — index is stale and stop. (Spec 001 AC-3-1.)

Arguments

  • [output-path] — where to write. Defaults:
    • without --committed: .codehub/ONBOARDING.md (gitignored)
    • with --committed: docs/ONBOARDING.md (gitignored default flipped)
  • --committed — write to a committed path instead of .codehub/.

Process

  1. Run the preconditions.
  2. mcp__codehub__project_profile({repo}) — languages, stacks, entry points, 2-sentence summary.
  3. mcp__codehub__route_map({repo}) — HTTP surface (if present).
  4. mcp__codehub__tool_map({repo}) — MCP/CLI surface (if present).
  5. mcp__codehub__sql({query: "SELECT name, file_path, in_degree + out_degree AS centrality FROM nodes WHERE kind IN ('File','Module','Class') ORDER BY centrality DESC LIMIT 15"}) — top-centrality nodes, the "read these first" candidates.
  6. For the top 8 of those: mcp__codehub__context({symbol: <id>}) to pull a one-line summary + owners.
  7. mcp__codehub__owners({path}) on the top-3 folders by file count — gives the "ask these humans" list.
  8. Dispatch a single Task with the doc-onboarding specialty role (inline in this skill — see references/onboarding-template.md).
  9. Assemble the output using the template below.
  10. Write to the resolved output path.

Output template

# <repo> · Onboarding

*Generated <ISO-8601>. Refresh via `/codehub-onboarding`.*

## TL;DR

2 sentences: what this repo does + the single most important mental model to hold.

## Stack

| Layer | Tech | Source |
|---|---|---|
| Runtime | Node 22 | `package.json:7` |
| Storage | SQLite (single-file, node:sqlite) | `packages/storage/src/index.ts:12` |
| ... | ... | ... |

## Read these 10 files first (in order)

1. `packages/cli/src/bin.ts` — CLI entry point. `(45 LOC)`
2. `packages/mcp/src/server.ts` — MCP server bootstrap. `(320 LOC)`
3. `packages/ingestion/src/pipeline.ts` — the phase DAG. `(180 LOC)`
... (ranked by centrality; each with a one-sentence reason)

## Walk one process end-to-end

Pick the highest-step-count process and walk it:

1. **Enter** at `packages/cli/src/commands/analyze.ts:14`.
2. **Dispatches** to `packages/ingestion/src/phases/parse.ts:22`.
3. **Writes** via `packages/storage/src/write.ts:88`.
4. **Exits** at `packages/cli/src/commands/analyze.ts:102`.

## Ask these humans

| Area | Owner | Share |
|---|---|---|
| `packages/mcp/` | alice@ | 72% |
| `packages/ingestion/` | bob@ | 45% |
| `packages/storage/` | charlie@ | 68% |

## Next steps

- Run `codehub analyze .` in your checkout to build the local graph.
- Ask the `code-analyst` subagent (or any MCP-aware client) "how does X work" to get a graph-grounded brief.
- Read [architecture/system-overview.md](./docs/architecture/system-overview.md) if `codehub-document` has already produced it.

Read the full file on GitHub · 112 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. 2mo ago First seen · 112 lines · 107 tokens per session scan A 4ee1ace6eb0b

Subscribe to this mod's changes

codehub-onboarding is a skill published in the GitHub repository theagenticguy/opencodehub (3 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 107 tokens to every session and 1,427 once invoked, about $0.0004 per session on Opus 5.5. 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

hr-onboarding

A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".

nexu-io/open-design · 62 tokens

book-mirror

Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…

garrytan/gbrain · 138 tokens

exam-forecast

Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.

anthropics/claude-for-legal · 73 tokens

lean-formalize

Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…

wanshuiyin/Auto-claude-code-research-in-sleep · 81 tokens

eli5

Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.

companion-inc/feynman · 63 tokens

deck-course-module

A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.

nexu-io/html-anything · 25 tokens