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.
npx skills add kumaran-is/claude-code-onboarding --skill code-explainergit clone --depth 1 https://github.com/kumaran-is/claude-code-onboardingWrote 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.
[](https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/code-explainer)<a href="https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/code-explainer"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/code-explainer/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.
<a href="https://agentmods.dev/skills/kumaran-is/claude-code-onboarding/code-explainer"><img src="https://agentmods.dev/badge/skills/kumaran-is/claude-code-onboarding/code-explainer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00087 | $0.01266 |
| Opus 5 | $0.00044 | $0.00633 |
| Sonnet 5 | $0.00017 | $0.00253 |
| Haiku 4.5 | $0.00009 | $0.00127 |
Grade A, and why
code-explainer 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Explainer
Iron Law
TWO LEVELS EVERY TIME — NEVER COLLAPSE THEM INTO ONE
Level 1 is for someone who uses the code. Level 2 is for someone who changes it. They need different information. Mixing them makes both audiences worse off.
When to Use
- Inheriting code you did not write
- Onboarding a new developer to an existing module
- Preparing to modify something you haven't touched in months
- Handing off ownership to another team
- Writing documentation from code
The Four Outputs (All Mandatory)
Level 1 — For the User (what it does)
Explain what this code accomplishes in plain language. No jargon. A non-technical stakeholder should be able to read this and understand:
- What problem the code solves
- What inputs it needs
- What it produces or causes to happen
Write this as if you're explaining to a product manager, not a developer.
Level 2 — For the Modifier (why it is built this way)
Explain the architectural decisions. A senior engineer about to touch this code needs to know:
- Why is it structured this way? (not just what it does)
- What would break if you changed X?
- What are the dependencies — internal and external?
- Where are the edge cases? What inputs cause unexpected behavior?
- What assumptions are baked in that aren't obvious from reading?
- What would a senior engineer want to verify before touching this?
Do not dumb this down. Level 2 readers are technical.
The Fragile Part (1 sentence, mandatory)
The section of this code most likely to break under unexpected conditions — unusual inputs, concurrent access, external failures, edge-case data. Name the specific location (function, line, block), not a general area.
The Assumption (1 sentence, mandatory)
The key assumption baked into this code that, if wrong, causes it to fail. This is not an edge case — it's a design premise. Examples: "assumes the caller always passes a non-null user object", "assumes the upstream API returns items in chronological order", "assumes this runs in a single-threaded context".
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.
- 6d ago First seen · 113 lines · 0 tokens per session scan A 13527f471e4d
code-explainer is a skill published in the GitHub repository kumaran-is/claude-code-onboarding (35 stars, last pushed 2mo ago), licensed MIT. It adds 87 tokens to every session and 1,266 once invoked, about $0.0004 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.
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