explain

explain is a skill for Claude Code, Codex from patrick-fu/awesome-skills. It costs 71 tokens per session (904 once invoked), scanned A, original, MIT.

A guidance skill for explaining code and designs, recovering context from an earlier task, and drafting common project messages such as pull-request text or incident replies.

In plain words
What is it for?
Use it for code walkthroughs, decision-history summaries, diagrams, pull-request or merge-request text, issue and incident replies, and quality-assurance notes.
Why use it?
It helps keep explanations grounded in available evidence, preserve important conditions, and separate known facts from guesses. It also prevents routine implementation work from being mixed with explanation or writing tasks.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the communication-and-writing plugin — 2 skills shipped together

Good fit Use it for code walkthroughs, decision-history summaries, diagrams, pull-request or merge-request text, issue and incident replies, and quality-assurance notes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/patrick-fu/awesome-skills/explain
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 patrick-fu/awesome-skills --skill explain
Clone the repo
git clone --depth 1 https://github.com/patrick-fu/awesome-skills

Made for: Claude Code, Codex.

Or install communication-and-writing, the plugin that ships this one along with the rest of its 2 skills.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/patrick-fu/awesome-skills/explain/github.svg)](https://agentmods.dev/skills/patrick-fu/awesome-skills/explain)
Your own site
<a href="https://agentmods.dev/skills/patrick-fu/awesome-skills/explain"><img src="https://agentmods.dev/badge/skills/patrick-fu/awesome-skills/explain/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 explain

Your own site · 80×15
<a href="https://agentmods.dev/skills/patrick-fu/awesome-skills/explain"><img src="https://agentmods.dev/badge/skills/patrick-fu/awesome-skills/explain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 904 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 $0.00071 $0.00904
Opus 5.5 $0.00028 $0.00362
Sonnet 5.5 $0.00014 $0.00181
Haiku 4.5 $0.00007 $0.00090

Measured 11d ago against content hash 297cc186b362, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

explain 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.

explain/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.

Explain

Scope. Apply to requested explanation, context recovery, or writing work. Ordinary implementation and its routine wrap-up remain in their existing workflow.

Route. Choose the primary outcome from the requested action and final deliverable before retrieving material. Load only the references needed for it.

User request Primary deliverable Reference
Explain a concept, code, or current design; explain it differently Mechanism, execution path, or example Relevant material; usually no branch reference
Explain an existing PR/MR Change illustration, verification evidence, and merge impact Delivery
Write or edit PR/MR titles or bodies, issue/incident replies, or QA handoffs Usable destination text Delivery
Recover a named task or explain a historical decision Grounded status and next action, or decision rationale Orientation

“Write an MR” routes to writing even when it needs background recovery or diagrams. For any scenario, read Views when a diagram, structural view, or interaction helps. These are presentation choices, not a replacement for the requested deliverable. For a bare link, use the conversation's active request; ask only if the intended action remains materially ambiguous. Review and debugging use their own workflows; Explain may support a requested explanation or writing subtask within them. When asked to resume work, follow the recovery reference through the next authorized action.

Reuse. Use supported material already in context; retrieve only facts needed for the request that are missing, stale, or conflicting.

Ground. Preserve consequential conditions. Distinguish recorded facts, mechanism-based inference, and unknowns; bound benefit and completion claims to evidence for the described artifact.

Frame. Answer first, or establish the current position when catching up. Reframe a confusing explanation with a different structure, example, or view. Apply ISO 24495-1's outcome standard: the intended reader can find, understand, and use the result. Borrow ASD-STE100's controlled-expression discipline—stable terms, direct sentence patterns, and explicit actions or conditions—without importing its English-only word list. Keep each section around one idea and match the requested depth. Prefer a compact visual beside brief prose when explaining relationships or changes; use prose alone when a visual adds no information.

Language. For each deliverable, use the user's explicitly requested language first. Otherwise follow their established language preference in the current conversation, inferring it from their own messages when unstated. In a mixed conversation without an established preference, use the language of the latest substantive user request. The language of these instructions, examples, quoted sources, code, or templates does not set the output language.

Apply the resolved language consistently to titles, body text, summaries, headings at every level, subheadings, captions, diagram labels, and explanatory pseudocode. Use supplied terminology and the project's GLOSSARY.md when available. Translate ordinary explanatory terms into established domain terms in the resolved language, without redundant foreign-language equivalents; explain unfamiliar terms locally. Descriptive source vocabulary is prose, not a code identifier. Keep source spelling where it identifies actual code symbols, paths, commands, protocol fields, or proper names, adding a gloss in the resolved language when useful.

Re-entry. When the user names ADHD or asks for low cognitive load, optimize resuming rather than simplifying away substance: foreground the current position and next action, use short labeled units, and attach conditions to the decision they constrain.

Anchor code walkthroughs in the relevant execution path.

Output. Honor explicit language and destination-format requests. Answer in chat by default; create a file when requested or required by the chosen visual medium.

Read the full file on GitHub · 78 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · +31 lines · +19 tokens per session 297cc186b362
  2. 13d ago Changed · +8 lines 380cd88fbbb2
  3. 15d ago First seen · 39 lines · 52 tokens per session scan A ba1376fd22d5

Subscribe to this mod's changes

explain is a skill published in the GitHub repository patrick-fu/awesome-skills (69 stars, last pushed 4d ago), licensed MIT. It adds 71 tokens to every session and 904 once invoked, about $0.0003 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 2026-10-11.

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