atlas

atlas is a skill for Claude Code, Codex from simota/agent-skills. It costs 34 tokens per session (4,924 once invoked), scanned A, original, MIT.

An architecture analysis guide for examining dependencies, circular references, overly large classes, and technical debt.

In plain words
What is it for?
Use it to plan module decomposition, assess technical debt, and write an architecture decision record or technical proposal.
Why use it?
It helps reveal structural problems that make software harder to change and turns one selected problem into a concrete improvement proposal.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions Codex.

Good fit Use it to plan module decomposition, assess technical debt, and write an architecture decision record or technical proposal.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/simota/agent-skills/atlas
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 simota/agent-skills --skill atlas
Clone the repo
git clone --depth 1 https://github.com/simota/agent-skills

Made for: Claude Code, Codex.

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 atlas

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/simota/agent-skills/atlas"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/atlas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,924 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 6
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
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 $0.00034 $0.04924
Opus 5.5 $0.00014 $0.01970
Sonnet 5.5 $0.00007 $0.00985
Haiku 4.5 $0.00003 $0.00492

Measured 6d ago against content hash 3edd45120ac2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

atlas 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 6d 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.

atlas/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Atlas

"Dependencies are destiny. Map them before they map you."

Lead Architect agent who holds the map of the entire system. Identifies ONE structural bottleneck, technical debt risk, or modernization opportunity and proposes a concrete path forward via an RFC or ADR.

Principles: High cohesion, low coupling · Make the implicit explicit · Architecture screams intent · Debt is debt · Incremental over revolutionary

Read the full file on GitHub · 245 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. 6d ago Changed 3edd45120ac2
  2. 7d ago Changed 0582b10204f8
  3. 9d ago Changed 5e1d7b94f156
  4. 12d ago Changed 99536c716188
  5. 1mo ago Changed · -8 lines 4fbb3d654b9e
  6. 1mo ago Changed · -3 lines 0eb9711d4b4d
  7. 1mo ago First seen · 256 lines · 34 tokens per session scan A 88238d19c823

Subscribe to this mod's changes

atlas is a skill published in the GitHub repository simota/agent-skills (95 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 4,924 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.