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.
npx skills add ratnesh-maurya/cursor-claude-personas --skill wiki-onboardinggit clone --depth 1 https://github.com/ratnesh-maurya/cursor-claude-personasWrote 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.
[](https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/wiki-onboarding)<a href="https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/wiki-onboarding"><img src="https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/wiki-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.
<a href="https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/wiki-onboarding"><img src="https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/wiki-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.00927 |
| Opus 5 | $0.00018 | $0.00464 |
| Sonnet 5 | $0.00007 | $0.00185 |
| Haiku 4.5 | $0.00004 | $0.00093 |
Grade A, and why
wiki-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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wiki Onboarding Guide Generator
Generate two complementary onboarding documents that together give any engineer — from newcomer to principal — a complete understanding of a codebase.
When to Activate
- User asks for onboarding docs or getting-started guides
- User runs
/deep-wiki:onboardcommand - User wants to help new team members understand a codebase
Language Detection
Scan the repository for build files to determine the primary language for code examples:
package.json/tsconfig.json→ TypeScript/JavaScript*.csproj/*.sln→ C# / .NETCargo.toml→ Rustpyproject.toml/setup.py/requirements.txt→ Pythongo.mod→ Gopom.xml/build.gradle→ Java
Guide 1: Principal-Level Onboarding
Audience: Senior/staff+ engineers who need the "why" behind decisions.
Required Sections
- System Philosophy & Design Principles — What invariants does the system maintain? What were the key design choices and why?
- Architecture Overview — Component map with Mermaid diagram. What owns what, communication patterns.
- Key Abstractions & Interfaces — The load-bearing abstractions everything depends on
- Decision Log — Major architectural decisions with context, alternatives considered, trade-offs
- Dependency Rationale — Why each major dependency was chosen, what it replaced
- Data Flow & State — How data moves through the system (traced from actual code, not guessed)
- Failure Modes & Error Handling — What breaks, how errors propagate, recovery patterns
- Performance Characteristics — Bottlenecks, scaling limits, hot paths
- Security Model — Auth, authorization, trust boundaries, data sensitivity
- Testing Strategy — What's tested, what isn't, testing philosophy
- Operational Concerns — Deployment, monitoring, feature flags, configuration
- Known Technical Debt — Honest assessment of shortcuts and their risks
Rules
- Every claim backed by
(file_path:line_number)citation - Minimum 3 Mermaid diagrams (architecture, data flow, dependency graph)
- All Mermaid diagrams use dark-mode colors (see wiki-vitepress skill)
- Focus on WHY decisions were made, not just WHAT exists
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.
- 9d ago First seen · 84 lines · 36 tokens per session scan A 34edf9bc34b0
wiki-onboarding is a skill published in the GitHub repository ratnesh-maurya/cursor-claude-personas (8 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 927 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
solid-principles
SOLID design principles. Covers SRP, OCP, LSP, ISP, DIP. Use when designing classes and modules. USE WHEN: user mentions "SOLID", "single responsibility", "open closed", "Liskov", "interface segregation", "dependency inversion", "dependency injection", asks about "class design", "OOP principles", "extensibility"…
explain
Guided code tour of a file or subsystem this session touched — entry point, the load-bearing pieces, the edges, and what connects to it.
digest
Generate a structured vibe-learn learning digest of the current coding session from .vibe-learn/session-log.jsonl.
learn
Explain recent vibe-learn session activity or answer a question about what was built, grounded in .vibe-learn/session-log.jsonl.
quiz
Check your understanding of the vibe-learn session — recall questions grounded in the session log, with results tracked across sessions in the knowledge ledger.
vibe-learn
Explain, digest, quiz, and tour the code of the current vibe-learn coding session, with cross-session knowledge tracking and optional Obsidian save and recall workflows grounded in .vibe-learn/session-log.jsonl.