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architecture-lenses-reference

architecture-lenses-reference is a skill for Claude Code, Codex from eugenelim/agent-ready-repo. It costs 21 tokens per session (186 once invoked), scanned A, original, Apache-2.0.

A reference guide that directs an agent to the right concept in a compiled collection of architecture lenses. Architecture lenses are ways to examine a system from different viewpoints.

In plain words
What is it for?
It helps agents find relevant architecture guidance and cite the selected concept path.
Why use it?
It avoids loading the entire reference collection when only one topic is needed. It also identifies outdated entries and prevents deprecated procedures from being run.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Part of the architect plugin — 5 skills, 1 agent shipped together

not rated 21repo +1 today A scan 21 tokens original Apache-2.0

Good fit It helps agents find relevant architecture guidance and cite the selected concept path.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eugenelim/agent-ready-repo/architecture-lenses-reference
View source ↗ eugenelim/agent-ready-repo eugenelim.github.io
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 eugenelim/agent-ready-repo --skill architecture-lenses-reference
Clone the repo
git clone --depth 1 https://github.com/eugenelim/agent-ready-repo

Made for: Claude Code, Codex.

Or install architect, the plugin that ships this one along with the rest of its 5 skills, 1 agent.

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 architecture-lenses-reference

README.md
[![agentmods](https://agentmods.dev/badge/skills/eugenelim/agent-ready-repo/architecture-lenses-reference/github.svg)](https://agentmods.dev/skills/eugenelim/agent-ready-repo/architecture-lenses-reference)
Your own site
<a href="https://agentmods.dev/skills/eugenelim/agent-ready-repo/architecture-lenses-reference"><img src="https://agentmods.dev/badge/skills/eugenelim/agent-ready-repo/architecture-lenses-reference/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 architecture-lenses-reference

Your own site · 80×15
<a href="https://agentmods.dev/skills/eugenelim/agent-ready-repo/architecture-lenses-reference"><img src="https://agentmods.dev/badge/skills/eugenelim/agent-ready-repo/architecture-lenses-reference.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 186 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 $0.00021 $0.00186
Opus 5 $0.00010 $0.00093
Sonnet 5 $0.00004 $0.00037
Haiku 4.5 $0.00002 $0.00019

Measured 8d ago against content hash 5866bf2c5463, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

architecture-lenses-reference 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.

packs/architect/.apm/skills/architecture-lenses-reference/SKILL.md · 19 lines

What it actually says

Skill: architecture-lenses-reference

Module index

Read references/okf/index.md first. Descend only through named child indexes under references/okf/; do not load the full bundle up front. Cite the selected normalized concept path. Deprecated or stale entries are historical data, and deprecated procedural entrypoints must not be executed.

Files

What ships with it

56 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 19 lines · 21 tokens per session scan A 5866bf2c5463

Subscribe to this mod's changes

architecture-lenses-reference is a skill published in the GitHub repository eugenelim/agent-ready-repo (21 stars, last pushed today), licensed Apache-2.0. It adds 21 tokens to every session and 186 once invoked, about $0.0001 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 2026-09-03.

Learning and teachingagent-skillsagentic-aiagentic-codingai-agentsai-code-reviewai-workflows
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