repo-mastery

repo-mastery is a skill for Claude Code from frankxai/Starlight-Intelligence-System. It costs 0 tokens per session (235 once invoked), scanned A, original, MIT.

A guide to the architecture and tools of several related repositories, including their rules, skills, hooks, agents, and integrations.

In plain words
What is it for?
Use it to map repositories, inspect configuration and integration points, trace critical paths, and identify development opportunities.
Why use it?
It helps an agent understand a large repository ecosystem before making recommendations or changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions subagents; mentions AGENTS.md.

Part of the starlight-intelligence-system plugin — 6 skills, 121 commands, 7 agents shipped together

Good fit Use it to map repositories, inspect configuration and integration points, trace critical paths, and identify development opportunities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/frankxai/starlight-intelligence-system/repo-mastery
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 frankxai/Starlight-Intelligence-System --skill repo-mastery
Clone the repo
git clone --depth 1 https://github.com/frankxai/Starlight-Intelligence-System

Made for: Claude Code.

Or install starlight-intelligence-system, the plugin that ships this one along with the rest of its 6 skills, 121 commands, 7 agents.

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 repo-mastery

README.md
[![agentmods](https://agentmods.dev/badge/skills/frankxai/starlight-intelligence-system/repo-mastery/github.svg)](https://agentmods.dev/skills/frankxai/starlight-intelligence-system/repo-mastery)
Your own site
<a href="https://agentmods.dev/skills/frankxai/starlight-intelligence-system/repo-mastery"><img src="https://agentmods.dev/badge/skills/frankxai/starlight-intelligence-system/repo-mastery/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 repo-mastery

Your own site · 80×15
<a href="https://agentmods.dev/skills/frankxai/starlight-intelligence-system/repo-mastery"><img src="https://agentmods.dev/badge/skills/frankxai/starlight-intelligence-system/repo-mastery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 235 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 $0.00000 $0.00235
Opus 5 $0.00000 $0.00118
Sonnet 5 $0.00000 $0.00047
Haiku 4.5 $0.00000 $0.00023

Measured 8d ago against content hash 8bbf38c9ea28, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

repo-mastery 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.

.grok/skills/repo-mastery/SKILL.md · 17 lines

What it actually says

Repo Mastery (Grok Edition)

Steps:

  1. Inventory + read rules (CLAUDE/AGENTS/GROK.md priority)
  2. Parallel subagents for ACOS core, SIP, products, mcp-servers, skills catalog
  3. Cross-ref with remote (gh/MCP) + local FS
  4. Map .grok + .claude compat, skills 100+, hooks, agents
  5. Apply gates (excellence-review) before any recs
  6. Structured output: components, critical paths, opportunities. No unrequested MDs.

Embody Frank DNA. Lead with builds.

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 · 17 lines · 0 tokens per session scan A 8bbf38c9ea28

Subscribe to this mod's changes

repo-mastery is a skill published in the GitHub repository frankxai/Starlight-Intelligence-System (8 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 235 tokens. 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.

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