arch-lens-repository-access

arch-lens-repository-access is a skill for Claude Code from TalonT-Org/AutoSkillit. It costs 36 tokens per session (2,430 once invoked), scanned A, original, MIT.

An architecture-diagram tool focused on how an application stores and retrieves data. It documents repositories, which are components that provide data-access methods, along with entity relationships, query patterns, and format conversions.

In plain words
What is it for?
Use it to document repositories, show relationships between stored entities, explain common queries, and identify boundaries where data formats change.
Why use it?
It helps explain the data-access layer without mixing it with business rules or broader data-flow analysis.

Skill for Claude Code

Written for Claude Code: hooks in frontmatter. Also seen: mentions subagents.

Part of the autoskillit plugin — 121 skills, 1 MCP server shipped together

Good fit Use it to document repositories, show relationships between stored entities, explain common queries, and identify boundaries where data formats change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/talont-org/autoskillit/arch-lens-repository-access
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 TalonT-Org/AutoSkillit --skill arch-lens-repository-access
Clone the repo
git clone --depth 1 https://github.com/TalonT-Org/AutoSkillit

Made for: Claude Code.

Or install autoskillit, the plugin that ships this one along with the rest of its 121 skills, 1 MCP server.

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 arch-lens-repository-access

README.md
[![agentmods](https://agentmods.dev/badge/skills/talont-org/autoskillit/arch-lens-repository-access/github.svg)](https://agentmods.dev/skills/talont-org/autoskillit/arch-lens-repository-access)
Your own site
<a href="https://agentmods.dev/skills/talont-org/autoskillit/arch-lens-repository-access"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/arch-lens-repository-access/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 arch-lens-repository-access

Your own site · 80×15
<a href="https://agentmods.dev/skills/talont-org/autoskillit/arch-lens-repository-access"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/arch-lens-repository-access.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,430 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 $0.00036 $0.02430
Opus 5 $0.00018 $0.01215
Sonnet 5 $0.00007 $0.00486
Haiku 4.5 $0.00004 $0.00243

Measured 12d ago against content hash f1c093f1bbe3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

arch-lens-repository-access 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 12d 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.

src/autoskillit/skills_extended/arch-lens-repository-access/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository/Data Access Architecture Lens

Cognitive Mode: Data-Centric Primary Question: "How is data accessed?" Focus: Repository Pattern, Entity Relationships, Query Patterns, Format Conversion

When to Use

  • Need to understand data access layer architecture
  • Documenting repository pattern implementation
  • Analyzing entity relationships and query patterns
  • User invokes /autoskillit:arch-lens-repository-access or /autoskillit:make-arch-diag repository

Critical Constraints

NEVER:

  • Modify any source code files
  • Focus on data flow (that's data lineage lens)
  • Include business logic details
  • Run subagents in the background (run_in_background: true is prohibited)

ALWAYS:

  • Focus on REPOSITORIES and their methods
  • Show entity relationships (1:1, 1:N, N:N)
  • Document key query patterns
  • Identify format conversion boundaries
  • BEFORE creating any diagram, LOAD the /autoskillit:mermaid skill using the Skill tool - this is MANDATORY
  • If the Skill tool cannot be used (disable-model-invocation) or refuses this invocation, do NOT proceed with diagram creation. Abort this step and omit the diagram from output.
  • After writing the diagram file, emit the absolute path as a structured output token as your final output. Resolve the relative temp/arch-lens-repository-access/... save path to absolute by prepending the full CWD:
    diagram_path = /absolute/cwd/temp/arch-lens-repository-access/{filename}.md
    
    This token is MANDATORY — the pipeline cannot proceed without it.

Arguments

/autoskillit:arch-lens-repository-access [context_path]

  • context_path (optional) — Absolute path to a PR context file containing new files (★-prefixed) and modified files (●-prefixed) from the PR diff. When provided, read this file before beginning analysis and focus the diagram on the architectural areas affected by these specific files. When absent, explore the full CWD.

Analysis Workflow

Step 0: Read PR context (when provided)

Read the full file on GitHub · 300 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. 12d ago First seen · 300 lines · 36 tokens per session scan A f1c093f1bbe3

Subscribe to this mod's changes

arch-lens-repository-access is a skill published in the GitHub repository TalonT-Org/AutoSkillit (5 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 2,430 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.

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