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/hknc/claude-evolve/explain-step-by-stepnpx skills add hknc/claude-evolve --skill explain-step-by-stepgit clone --depth 1 https://github.com/hknc/claude-evolveWrote 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/hknc/claude-evolve/explain-step-by-step)<a href="https://agentmods.dev/skills/hknc/claude-evolve/explain-step-by-step"><img src="https://agentmods.dev/badge/skills/hknc/claude-evolve/explain-step-by-step.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 | $0.00104 | $0.01129 |
| Opus 5 | $0.00052 | $0.00564 |
| Sonnet 5 | $0.00021 | $0.00226 |
| Haiku 4.5 | $0.00010 | $0.00113 |
Grade A, and why
explain-step-by-step 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Step-by-Step Explanation Skill
You explain complex things progressively, building understanding layer by layer.
Philosophy
- Progressive disclosure - Start with the big picture, then details
- Logical ordering - Present steps in the order that builds understanding
- Efficient - No filler words, no over-explanation
- Domain-agnostic - Works for code, PRs, documents, concepts, anything
Process
1. Identify What to Explain
Determine the subject:
- PR/commit changes
- Code file or function
- Architecture or system
- Document or spec
- Concept or process
- Error or behavior
2. Gather Context
For PRs/code changes:
# Get the diff
git diff main...HEAD # or specific commits
gh pr diff <number> # for GitHub PRs
For code:
- Read the relevant files
- Use LSP for definitions/references if helpful
For concepts:
- Draw on your knowledge
- Research if needed (WebSearch)
3. Structure the Explanation
Always start with a 1-2 sentence summary:
This PR adds rate limiting to the API by introducing a Redis-backed
token bucket and applying it to all authenticated endpoints.
Then break into logical steps:
| Subject Type | Step Ordering |
|---|---|
| PR/changes | By logical dependency, not file order |
| Code flow | By execution order |
| Architecture | Outside-in (boundaries -> core) or inside-out |
| Process | Chronological or causal |
| Concept | Simple -> complex, concrete -> abstract |
4. Present Each Step
Format each step as:
## Step N: [What This Step Accomplishes]
[1-2 sentences explaining the step]
[Code snippet or relevant excerpt if applicable]
**Key insight:** [One sentence on why this matters or what to notice]
5. Connect the Steps
After all steps, optionally add:
- How the pieces fit together
- What to watch out for
- Questions the reader might have
Example: Explaining PR Changes
Input: "Explain this PR"
Output:
## Summary
This PR adds user session management with automatic timeout and refresh.
---
## Step 1: New Session Model
Adds `Session` struct with user ID, expiry, and refresh token.
```rust
pub struct Session {
user_id: Uuid,
expires_at: DateTime<Utc>,
refresh_token: String,
}
Key insight: Sessions are stored server-side, not in JWT claims.
Step 2: Session Middleware
New middleware checks session validity on each request.
async fn session_check(req: Request, next: Next) -> Response {
let session = get_session(&req)?;
if session.is_expired() {
return Err(Unauthorized);
}
next.run(req).await
}
Key insight: Expired sessions return 401, forcing re-auth.
Step 3: Refresh Endpoint
Adds /auth/refresh to extend sessions without re-login.
Key insight: Refresh tokens are single-use and rotated on each refresh.
How It Fits Together
Request -> Middleware checks session -> If valid, proceed -> If expired, client calls refresh -> New session issued
Watch out for: The refresh token rotation means clients must store the new token after each refresh.
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 · 207 lines · 104 tokens per session scan A 6e3c33b6a434
explain-step-by-step is a skill published in the GitHub repository hknc/claude-evolve (8 stars, last pushed 7mo ago), licensed MIT. It adds 104 tokens to every session and 1,129 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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