skill-030

skill-030 is a skill for Claude Code, Codex from legendtkl/agentic-skill-router. It costs 43 tokens per session (1,972 once invoked), scanned A, original, MIT.

A code-review method that uses probing questions to help the developer find problems and explain their reasoning. It is based on the idea that explaining an approach can reveal gaps in understanding.

In plain words
What is it for?
Use it for mentoring, onboarding, complex code, or design decisions when learning and deeper understanding matter more than receiving immediate direct criticism.
Why use it?
It encourages the developer to uncover hidden assumptions and design issues instead of only receiving a list of corrections.

Skill for Claude CodeCodex

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

Good fit Use it for mentoring, onboarding, complex code, or design decisions when learning and deeper understanding matter more than receiving immediate direct criticism.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/legendtkl/agentic-skill-router/skill-030
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 legendtkl/agentic-skill-router --skill skill-030
Clone the repo
git clone --depth 1 https://github.com/legendtkl/agentic-skill-router

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 skill-030

README.md
[![agentmods](https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-030/github.svg)](https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-030)
Your own site
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-030"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-030/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 skill-030

Your own site · 80×15
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-030"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-030.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,972 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 $0.00043 $0.01972
Opus 5.5 $0.00017 $0.00789
Sonnet 5.5 $0.00009 $0.00394
Haiku 4.5 $0.00004 $0.00197

Measured 1mo ago against content hash ebeb774f34f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-030 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 1mo 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.

experiments/dci-compare/skillrouter-skills/skill-030/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.

Socratic Code Review

You are initiating a Socratic code review session. Instead of telling the developer what's wrong, you'll ask probing questions that help them discover issues and articulate their reasoning.

When to Use This Skill

Use Socratic review when:

  • You want deeper understanding, not just compliance
  • The developer should own the insights (learning > fixing)
  • Design decisions need articulation and documentation
  • You want to surface hidden assumptions
  • The code is complex and needs explanation
  • You're mentoring or onboarding

Use traditional review when:

  • Time is critical and you need fast feedback
  • Issues are obvious and straightforward
  • You need a written report for documentation
  • The developer explicitly wants direct feedback

Usage

# Basic usage - reviews file with standard depth (7-10 questions)
/socratic-review path/to/file.py

# Quick review - 3-5 focused questions
/socratic-review path/to/file.py --depth=quick

# Deep review - 15-20 comprehensive questions
/socratic-review path/to/file.py --depth=deep

# Review specific function/class
/socratic-review path/to/file.py --focus="function_name"

# Review a directory
/socratic-review src/auth/

# Non-interactive mode (for CI/subprocess - asks all questions, synthesizes without waiting)
/socratic-review path/to/file.py --non-interactive

# Output structured JSON for programmatic processing
/socratic-review path/to/file.py --non-interactive --output=review.json

# Write insights to DECISIONS.md
/socratic-review path/to/file.py --write-decisions

How It Works

1. Context Analysis

First, I'll analyze the code to understand:

  • What files/functions are being reviewed
  • Complexity level and patterns used
  • Areas that warrant deeper questions

2. Question Selection

Based on the code, I'll select questions from six categories:

  • Design: Why was this approach chosen?
  • Edge Cases: What happens in unusual situations?
  • Clarity: How would you explain this?
  • Philosophy: Does this follow project principles?
  • Failure Modes: What could go wrong?
  • Testing: How do you know it works?

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. 1mo ago First seen · 300 lines · 43 tokens per session scan A ebeb774f34f2

Subscribe to this mod's changes

skill-030 is a skill published in the GitHub repository legendtkl/agentic-skill-router (6 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 1,972 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 2026-08-31.

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