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 agentmods add skills/mikestangdevs/craft-skills/explain-backnpx skills add mikestangdevs/craft-skills --skill explain-backgit clone --depth 1 https://github.com/mikestangdevs/craft-skillsWrote 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/mikestangdevs/craft-skills/explain-back)<a href="https://agentmods.dev/skills/mikestangdevs/craft-skills/explain-back"><img src="https://agentmods.dev/badge/skills/mikestangdevs/craft-skills/explain-back.svg" alt="Measured on agentmods" 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 | $0.00103 | $0.01504 |
| Opus 5 | $0.00051 | $0.00752 |
| Sonnet 5 | $0.00021 | $0.00301 |
| Haiku 4.5 | $0.00010 | $0.00150 |
Grade A, and why
explain-back 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 5d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explain Back
The failure mode this fixes
The most expensive bug in AI-assisted development isn't wrong code — it's code that looks right that nobody understands. The agent writes 80 lines, the human skims, says "looks good," and merges. Six weeks later it breaks and no one — human or agent — can say why it existed.
explain-back inverts review. Before code is trusted, the agent must explain it back in plain language until the human confirms the model is correct. If the agent can't explain a line, that line is suspect. If the human can't follow the explanation, the code is too clever. Either way, you find out now, not at 3am.
When to Use This Skill
- Right after you (the agent) generate a non-trivial change, before declaring it done
- When reviewing code an agent wrote and the diff "looks fine" but no one built a model of it
- When onboarding to an unfamiliar file before changing it
- When the human catches themselves about to approve something they can't explain
- Before building new logic on top of existing code whose behavior is assumed, not known
Don't use when: the change is a trivial rename, a config value, or a one-line typo fix. Reserve it for logic that someone will later have to reason about.
Instructions
Work through these phases in order. Do not skip to a fix or a "looks good" — the whole point is to surface the gap between what the code says and what everyone thinks it says.
1. Restate the intent (before reading the code closely)
State, in one sentence, what this code is supposed to do — from the requirement, the PR title, or the conversation. Do not look at the implementation yet. This is the contract you'll check the code against.
"This function is supposed to deduplicate incoming webhook events so we never process the same payment twice."
2. Explain it back, line group by line group
Walk the code in small chunks. For each chunk, say in plain language:
- What it does (the mechanic)
- Why it's there (the intent it serves)
- What breaks if it's wrong or removed
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.
- 5d ago First seen · 108 lines · 103 tokens per session scan A 79e1ed0fa456
explain-back is a skill published in the GitHub repository mikestangdevs/craft-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 103 tokens to every session and 1,504 once invoked, about $0.0005 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 2026-08-31.
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