explain-code

explain-code is a skill for Claude Code, Codex from opensupplyhub/open-supply-hub. It costs 59 tokens per session (785 once invoked), scanned A, original, MIT.

A skill for explaining code, systems, APIs, databases, and infrastructure in plain English, adjusted to the reader’s experience.

In plain words
What is it for?
Use it to walk through a file, function, API endpoint, database table, serverless function, or larger system. It first asks about the reader’s technical background when that is not known.
Why use it?
It turns unfamiliar technical implementation details into explanations that are easier to understand and use.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/opensupplyhub/open-supply-hub/explain-code
Any agent
npx skills add opensupplyhub/open-supply-hub --skill explain-code
Clone the repo
git clone --depth 1 https://github.com/opensupplyhub/open-supply-hub

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 explain-code

README.md
[![agentmods](https://agentmods.dev/badge/skills/opensupplyhub/open-supply-hub/explain-code.svg)](https://agentmods.dev/skills/opensupplyhub/open-supply-hub/explain-code)
Your own site
<a href="https://agentmods.dev/skills/opensupplyhub/open-supply-hub/explain-code"><img src="https://agentmods.dev/badge/skills/opensupplyhub/open-supply-hub/explain-code.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 785 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00059 $0.00785
Opus 5 $0.00030 $0.00392
Sonnet 5 $0.00012 $0.00157
Haiku 4.5 $0.00006 $0.00078

Measured 4d ago against content hash a9321dae58bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

explain-code 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 4d 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.

.agent/skills/explain-code/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Explaining OS Hub Code and Systems in Plain English

This skill translates anything technical at OS Hub into language the reader can use — a single file, an API endpoint, a database table, a lambda function, or how a whole system fits together.

Step 1 — Confirm experience level (one-time per session)

If unknown from earlier in the session, ask:

Quick question so I pitch this right:

  1. New to code — plain English with real-world analogies
  2. Some technical comfort — terms are okay, explain non-obvious ones
  3. Engineer — full technical depth, no analogies needed

Which fits? (1, 2, or 3)

Step 2 — Ground the answer in real code

Always read the actual source before explaining. Three cases:

  • The user pasted code or named a specific file/function → read it directly.
  • The user asked about a system, endpoint, lambda, or concept without pointing at specific code → search the OS Hub repo first to find the real implementation, then read it.
  • The request is still vague after you look → ask one clarifying question.

If something touches multiple layers (e.g., a lambda that hits the API and the database), read each layer.

Step 3 — Answer short, pull in only the sections that fit

Default response is concise — aim for under 200 words. Lead with the takeaway, then offer to go deeper. Use only the sections below that the question actually calls for. Don't inflate.

Available sections:

Infrastructure

Where this runs and what it's built on (Django service, AWS Lambda, Kafka consumer, RDS table, S3 bucket, etc.). Use when the platform matters for the explanation.

Big Picture

One or two sentences: what this does and where it lives in OS Hub.

Main Parts

2-4 bullets describing the major pieces. Use when the thing has internal structure worth walking through.

Analogy

Real-world comparison that makes the concept stick. Especially valuable for Level 1 readers.

Examples:

  • "Think of this like a gatekeeper — it checks credentials before letting requests through"
  • "This is the recipe card — it lists ingredients and the order to combine them"
  • "Picture a referee at a basketball game — this watches the action and flags anything off"

Read the full file on GitHub · 78 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. 4d ago First seen · 78 lines · 59 tokens per session scan A a9321dae58bd

Subscribe to this mod's changes

explain-code is a skill published in the GitHub repository opensupplyhub/open-supply-hub (20 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 785 once invoked, about $0.0003 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 2026-08-30.

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