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 mgd34msu/goodvibes-plugin --skill project-onboardinggit clone --depth 1 https://github.com/mgd34msu/goodvibes-pluginWrote 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/mgd34msu/goodvibes-plugin/project-onboarding)<a href="https://agentmods.dev/skills/mgd34msu/goodvibes-plugin/project-onboarding"><img src="https://agentmods.dev/badge/skills/mgd34msu/goodvibes-plugin/project-onboarding.svg" alt="Measured on agentmods" 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 | $0.00046 | $0.00650 |
| Opus 5 | $0.00023 | $0.00325 |
| Sonnet 5 | $0.00009 | $0.00130 |
| Haiku 4.5 | $0.00005 | $0.00065 |
Grade A, and why
project-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.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
project-onboarding
Map a codebase's real structure before proposing changes to it, using the analyzers below instead of reading files one at a time until a picture emerges by accident.
1. Orient: stack and layout
Start with code_glob (a broad pattern, with_stats: false, tight max_results) to see the
directory shape, and code_read with extract: outline on the entry point (package.json,
the framework's config file) to confirm the stack before analyzing anything more specific.
2. Backend surface
If the project has a backend: api_routes for the route inventory (framework-detected:
Express, Fastify, Hono, Next.js are all covered), then api_spec for the shape of each route's
request/response, then db_schema (with usage: true if you need to know which models are
actually queried where and whether any query runs inside a loop). Cross-check the two with
api_validate if you suspect the spec and the routes have drifted apart.
3. Frontend surface
If the project has a UI layer: component_tree on the app's root or a feature directory (start
with no annotate modes for the bare tree; add state/boundaries/events/attributes only
for the components you're about to touch, each mode costs response size). layout_analysis on
a specific file when you need to understand its layout hierarchy, overflow behavior, or stacking
context. hook_dependencies and client_boundary when you need to know whether a hook's
dependency array is honest or whether a server/client boundary is being crossed incorrectly.
4. Exported API surface
code_surface on the module(s) you're about to depend on or modify. It gives you the real
exported types and functions from the compiler, not from reading every file's exports by eye.
Before deleting or renaming anything it exports, run code_safe_delete on the specific symbol
first. It checks real compiler references, not a text search for the name.
5. Record what you found
Write what you learned to .goodvibes/memory/ (see the goodvibes-memory skill) as a
pattern or decision entry. The next session, or the next agent working in this codebase,
shouldn't have to re-derive the same map from scratch.
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.
- 7d ago First seen · 53 lines · 46 tokens per session scan A a8cd2171718b
project-onboarding is a skill published in the GitHub repository mgd34msu/goodvibes-plugin (6 stars, last pushed 15d ago), licensed MIT. It adds 46 tokens to every session and 650 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…