skillsight: Skill for Claude Code

.claude/skills/packmind-onboard/SKILL.md

packmind-onboard is a skill for Claude Code from PackmindHub/skillsight. It costs 38 tokens per session (2,203 once invoked), scanned A, a copy of packmind-onboard, Apache-2.0.

An automated Packmind onboarding workflow that analyzes a codebase, creates or selects a package, and prepares draft coding standards and commands. Packmind is a tool for recording and applying development practices.

In plain words
What is it for?
Onboarding a codebase into Packmind, generating up to five draft standards and five draft commands, and creating them through the Packmind CLI.
Why use it?
It helps a team capture existing project patterns without changing source files during analysis. Drafts and evidence can be reviewed before anything is created.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: names the AskUserQuestion tool.

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

Reuse

Borrowing it

Nothing to install: this file belongs to PackmindHub/skillsight. 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/PackmindHub/skillsight/main/.claude/skills/packmind-onboard/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/PackmindHub/skillsight

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 packmind-onboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/packmindhub/skillsight/packmind-onboard/github.svg)](https://agentmods.dev/skills/packmindhub/skillsight/packmind-onboard)
Your own site
<a href="https://agentmods.dev/skills/packmindhub/skillsight/packmind-onboard"><img src="https://agentmods.dev/badge/skills/packmindhub/skillsight/packmind-onboard/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 packmind-onboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/packmindhub/skillsight/packmind-onboard"><img src="https://agentmods.dev/badge/skills/packmindhub/skillsight/packmind-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,203 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 98% copy Near-identical to another mod 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 $0.00038 $0.02203
Opus 5.5 $0.00015 $0.00881
Sonnet 5.5 $0.00008 $0.00441
Haiku 4.5 $0.00004 $0.00220

Measured 1mo ago against content hash 2a64854151dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

packmind-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 1mo 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.

Origin

This is a copy

98% identical to packmind-onboard — 13 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/packmind-onboard/SKILL.md · 329 lines

How it starts

The opening of the file, as written. The whole thing — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.

packmind-onboard

Run "packmind-cli --version" to get the current cli installation.

Find the highest version at or below the cli version in this list:

  • 0.16.0
  • 0.23.0 Remember this value as $PACKMIND_CLI_VERSION for the rest of the skill.

Action skill. Provides complete automated onboarding for Packmind:

  1. Creates or selects a package
  2. Analyzes codebase for patterns
  3. Generates draft Standards and Commands
  4. Creates items via CLI

Automatic package creation when none exist, user selection when packages are available.

Guarantees

  • Read-only analysis. Analysis phase does not modify any project files.
  • Drafts before creation. All items are written as drafts first, allowing review before creation.
  • Preserve existing. Never overwrite existing artifacts. If a slug already exists, create -2, -3, etc.
  • Evidence required. Every reported insight must include file-path evidence (and line ranges when feasible).
  • Focused output. Max 5 Standards and 5 Commands generated per run.
  • Graceful failure. Partial failures don't lose successful work; failed drafts are preserved.
  • User control. When packages exist, users confirm package selection before creation.

Definitions

  • Pattern (non-linter): a convention a linter cannot reliably enforce (module boundaries, cross-domain communication, workflow parity, error semantics, etc).
  • Evidence: path[:line-line] entries; omit line ranges only when the file isn't text-searchable.

Step 0 — Introduction

Print exactly:

I'll start the Packmind onboarding process. I'll create your first standards and commands and send them to your Packmind organization. This usually takes ~3 minutes.

Step 1 — Get Repository Name

Get the repository name for package naming:

basename "$(git rev-parse --show-toplevel)"

Remember this as the repository name for package creation in Step 2.

Also run packmind-cli whoami and extract the Host: value from the output. Remember this URL for the completion summary.

Read the full file on GitHub · 329 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. 1mo ago First seen · 329 lines · 38 tokens per session scan A 2a64854151dd

Subscribe to this mod's changes

packmind-onboard is a skill published in the GitHub repository PackmindHub/skillsight (9 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 2,203 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to packmind-onboard, differing in 13 lines, and is treated as a copy.

Related

Other skills, from other repositories

batch-api

Prepare a many-file, single-turn transform (translate, rewrite, extract) as a plan and submit it to the asynchronous, half-price DashScope Batch API; results are delivered as new files hours later. Invoke explicitly with /batch-api.

QwenLM/qwen-code · 51 tokens

repo-hygiene

Use when the scheduled repo-hygiene workflow runs from GitHub Actions (or an operator dry-run) to scan the repository for small, certain docs/test/code hygiene issues and fix them as one batched branch.

QwenLM/qwen-code · 48 tokens

test-failure-explorer

Import and query an existing Vitest 3.2 JSON report to explore test failures, file-level errors and original diagnostic evidence.

QwenLM/qwen-code · 32 tokens

chinese-documentation

A Chinese technical-documentation style guide covering spacing, punctuation, numbers, terminology, and links when Chinese and English appear together.

jnMetaCode/superpowers-zh · 62 tokens

build-teaql-app

Build or change a TeaQL application in Java, Rust, Go, Swift, Python, C#/.NET, or TypeScript, including Kotlin/JVM applications that consume Java-generated libraries. Mandatory order: first draft and save a complete KSML model, then verify the client and evaluate that saved model, repair it through repeated evaluation…

teaql/teaql-agent-kit · 112 tokens

context-exclusion

Maintain .agent-no-read.md markers for approved generated directories using deterministic scripts. Use when configuring generated-code context exclusion or restoring markers after regeneration, not for ordinary ignore rules or OS permissions.

teaql/teaql-agent-kit · 41 tokens