archify-review

archify-review is a skill for Claude Code, Codex from tt-a1i/archify. It costs 42 tokens per session (309 once invoked), scanned A, original, MIT.

A structured way to review issues, proposed changes, and code by weighing their value, cost, and effect on users and future maintenance.

In plain words
What is it for?
Use it to triage issues, assess pull requests, review code quality, compare approaches, and identify maintenance risks or unanswered questions.
Why use it?
It helps separate worthwhile work from low-value fixes and makes decisions traceable to checked facts rather than assumptions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to triage issues, assess pull requests, review code quality, compare approaches, and identify maintenance risks or unanswered questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tt-a1i/archify/archify-review
About the project

Archify is a system that turns codebases or system descriptions into interactive architecture, workflow, sequence, data-flow, and lifecycle diagrams. Developers use it to inspect, review, compare, and share system designs, while its catalogue skill provides the agent workflow for creating and validating those diagrams.

tt-a1i/archify · 84,044 stars · on GitHub · archify.si

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 tt-a1i/archify --skill archify-review
Clone the repo
git clone --depth 1 https://github.com/tt-a1i/archify

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 archify-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/tt-a1i/archify/archify-review/github.svg)](https://agentmods.dev/skills/tt-a1i/archify/archify-review)
Your own site
<a href="https://agentmods.dev/skills/tt-a1i/archify/archify-review"><img src="https://agentmods.dev/badge/skills/tt-a1i/archify/archify-review/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 archify-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/tt-a1i/archify/archify-review"><img src="https://agentmods.dev/badge/skills/tt-a1i/archify/archify-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 309 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
  • Socket pass 16 Sept 2026
  • Snyk warn 16 Sept 2026
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 $0.00042 $0.00309
Opus 5.5 $0.00017 $0.00124
Sonnet 5.5 $0.00008 $0.00062
Haiku 4.5 $0.00004 $0.00031

Measured 11d ago against content hash 811eb78d6936, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

archify-review 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 11d 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

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/archify-review/SKILL.md · 23 lines

What it actually says

Archify Review

Judge whether a problem is worth addressing and an approach is worth maintaining over time.

  • Value: Identify the real problem, who benefits, how often it occurs, its consequences, and whether it is worth addressing now.
  • Cost: Consider implementation and verification effort, along with the future cost of understanding, changing, and maintaining the code. Prefer existing capabilities and keep the solution proportional to the problem.
  • Impact: Identify affected behavior and modules, consequences for users and future development, and whether the change improves maintainability or adds coupling and constraints.

Consider maintainability, complexity, compatibility, performance, and other relevant concerns within these three dimensions, according to the specific problem.

Ground judgments in evidence: verify the target revision and relevant facts, distinguish direct verification from existing evidence and assumptions, and choose checks that resolve the key uncertainties.

Explain whether the work is worthwhile, the approach's cost and impact, any better alternatives, and unresolved questions that matter to the decision. Give reasons and scale the detail to the importance of each concern.

For repository-specific review and contribution requirements, consult REVIEWING.md and CONTRIBUTING.md as needed.

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. 11d ago Changed · +2 lines 811eb78d6936
  2. 29d ago First seen · 21 lines · 42 tokens per session scan A 83791ccbe789

Subscribe to this mod's changes

archify-review is a skill published in the GitHub repository tt-a1i/archify (84,044 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 309 once invoked, about $0.0002 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 2026-09-17.

Related

Other skills, from other repositories

harbor

Harbor intake for external work — the captain only handles unresolved decisions. Sweeps incoming issues and PRs, verifies every claim before disposition, reuses every decision already made, and hands the maintainer a docket whose pending items each carry one question with options, recommendation, impact and evidence.…

Yeachan-Heo/oh-my-claudecode · 83 tokens

pr

Draft a PR body from OMC's paper trail — the smallest visual that proves the change, evidence consumed from the verify protocol (never re-collected), reversibility from the ADR test on the diff, glossary language throughout.

Yeachan-Heo/oh-my-claudecode · 47 tokens

plannotator

Reference for using Plannotator (its plannotator tool when you have one, otherwise the CLI): plan review, code review, annotating files, URLs, folders, and running local apps, annotating the last assistant message, browsing archived plan decisions, exporting or sharing Guided Reviews, and the Plannotator Inbox…

backnotprop/plannotator · 138 tokens

refactor

Guides a refactor, cleanup, or restructure with the right decomposition. Use when the user asks to refactor, simplify, extract, or modernize code.

code-yeongyu/oh-my-openagent · 36 tokens

work-with-pr

Full PR lifecycle in a fresh task-owned git worktree: implement via the ulw-loop skill with mandatory evidence-bound manual QA → reviewer-readable English PR → verification loop (CI + Cubic, where Cubic is skipped only when its quota is exhausted) → merge by default → worktree cleanup. Decomposes one task into the…

code-yeongyu/oh-my-openagent · 211 tokens

remove-ai-slops

Removes AI-generated code smells from branch changes or an explicit file list behind regression tests. Use when the user asks to clean up, deslop, or remove AI-slop patterns from recent changes.

code-yeongyu/oh-my-openagent · 45 tokens