Agent skill

Code Walkthrough

by testdouble in testdouble/han

Walks a person through code changes one step at a time in conversation, starting at the entry point and following the flow that changes, showing a small chunk per step and explaining it in plain…

MITAuto-check passedDevelopment

Install Code Walkthrough

skills CLI
$ npx skills add testdouble/han --skill code-walkthrough -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install testdouble/han code-walkthrough --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/testdouble/han.git skills-src && mkdir -p .claude/skills && cp -r skills-src/han-coding/skills/code-walkthrough .claude/skills/code-walkthrough && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
code-walkthrough
GitHub stars
279
Token cost
~4.4k tokens
SKILL.md length
2,539 words
Files
2 (incl. references)
Skills in repo
54
Repo updated
First seen
Licence
MIT

At a glance

Walks a person through code changes one step at a time in conversation, starting at the entry point and following the flow that changes, showing a small chunk per step and explaining it in plain…

  • Works in 5 steps: Resolve the Scope → Classify Size and Trace the Flow → Build the Itinerary and Announce It → …
  • Someone wants to be walked through
  • SKILL.md covers Project Context, Operating Principles, Step 1: Resolve the Scope and Step 2: Classify Size and…, plus 3 more sections
  • Calls git, gh and bash; reaches github.com

What it does

Code Walkthrough is an agent skill from testdouble/han. Walks a person through code changes one step at a time in conversation, starting at the entry point and following the flow that changes, showing a small chunk per step and explaining it in plain language. Defaults to the current branch's changes, and walks the code from the perspective of any context provided instead — a file, directory, symbol, pull request, plan, or ticket. Use when someone wants to be walked through, taught, paced through, or shown around code or a branch step by step, or to learn how a change…

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/walkthrough-step-format.md`).

It sits in Development, covering Code review, Debugging and Plain language and style rules. It works with Git. The repository describes itself as: Han: AI skills and agents for "Solo" product engineers and small teams. The licence is MIT.

When your agent uses it

  • Someone wants to be walked through
  • Shown around code
  • A branch step by step
  • Learn how a change works before reviewing

Example prompts

  • “Use the code-walkthrough skill to walk a person through code changes one step at a time in conversation, starting at the entry point and following…”
  • “/code-walkthrough”

Requirements

  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Agent, Bash(git *), Bash(gh *), Bash(find *), Bash(bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh")

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Resolve the Scope
  2. Classify Size and Trace the Flow
  3. Build the Itinerary and Announce It
  4. Walk One Step Per Turn
  5. Close the Walk

What it can do on your machine

Read from SKILL.md and the folder at commit abba73a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • Agent
    • Bash(git *)
    • Bash(gh *)
    • Bash(find *)
    • Bash(bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh")

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • gh
    • bash
    • go

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Code Walkthrough loads about 4.4k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 230 tokens; SKILL.md has 2,539 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~230
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from testdouble/han at commit abba73a, republished under its MIT licence (© testdouble). 2,539 words, ~4,398 tokens.

Download SKILL.mdSave it as .claude/skills/code-walkthrough/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
code-walkthrough
description
Walks a person through code changes one step at a time in conversation, starting at the entry point and following the flow that changes, showing a small chunk per step and explaining it in plain language. Defaults to the current branch's changes, and walks the code from the perspective of any context provided instead — a file, directory, symbol, pull request, plan, or ticket. Use when someone wants to be walked through, taught, paced through, or shown around code or a branch step by step, or to learn how a change works before reviewing or extending it. Stops after every step and waits, so the learner sets the pace. Paces through code that already exists and builds nothing — to build new work while being paced through it, use pairing. Does not produce a written overview to read alone — use code-overview. Does not review code quality — use code-review. Does not diagnose bugs — use investigate.
allowed-tools
Read, Glob, Grep, Agent, Bash(git *), Bash(gh *), Bash(find *), Bash(bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh")
arguments
size
argument-hint
[size: small | medium | large | dynamic] [target: a file, directory, symbol, PR reference, or plan — defaults to the current branch's changes]

Project Context

  • git installed: !which git 2>/dev/null || echo "not installed"
  • gh installed: !which gh 2>/dev/null || echo "not installed"
  • current branch: !git branch --show-current 2>/dev/null || echo "no git branch"
  • default branch: !git symbolic-ref --short refs/remotes/origin/HEAD 2>/dev/null || echo unknown
  • repository root: !git rev-parse --show-toplevel 2>/dev/null || pwd
  • CLAUDE.md: !find . -maxdepth 1 -name "CLAUDE.md" -type f
  • project-discovery.md: !find . -maxdepth 3 -name "project-discovery.md" -type f
  • personal config directory: !bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh" 2>/dev/null || echo "$HOME/.claude"
  • project .han/config.md: !cat .han/config.md 2>/dev/null || echo ""

As your first action, use the Read tool on .han/config.md inside the personal config directory path above. A read that returns no file is no personal configuration: continue silently. When that file or the project .han/config.md probe supplies content, apply it per config-rule.md, which governs precedence between the two files, relative-path resolution, and what to do with a file that reads but cannot be used.

Operating Principles

Read these before doing anything. They constrain every step below.

  • One step per turn, then stop and wait. Present exactly one walkthrough step, then end the turn. Never chain two steps together, never run ahead to finish the itinerary, and never treat a short acknowledgement as permission to batch. BECAUSE the pacing is the deliverable: a learner who receives six steps at once is reading a document, which is code-overview's job, and the understanding this skill exists to build comes from stopping long enough to ask a question. The single exception is an explicit request for more than one step ("show me the rest", "give me the next three"), which you honor as asked.
  • A question holds your place; it never advances it. When the learner asks about the step just presented instead of moving on, answer at the same plain-language level, then re-offer the same next step. The step counter does not move. BECAUSE the question is the learning happening, and advancing past it silently abandons the reason they asked.
  • Every step names the full path from the repository root. Each step's heading carries the complete repository-root-relative path (han-coding/skills/code-review/SKILL.md), never a bare filename (SKILL.md) and never a path fragment. BECAUSE a bare filename is unsearchable and ambiguous in any repository with a SKILL.md, an index.ts, or a README.md in more than one directory, and the learner's next move is reliably to open the file themselves.
  • Small chunks, always. Each step shows a few lines up to roughly thirty — the smallest excerpt that carries the point — never a whole file and never an entire diff hunk pasted for completeness. BECAUSE the excerpt is an illustration of the sentence you just wrote, not the evidence for it; a wall of code moves the reading work back onto the person the walkthrough is supposed to be teaching.
  • Plain language, and the why before the what. Explain each step as a problem being solved or a goal being served, then what the code does about it. Keep the explanation to a short paragraph a person could read aloud. Source the standard by invoking han-communication:explanation-guidance (Step 3) and hold it for every turn of the session.
  • Follow the flow, then name the rest. The itinerary follows the execution path from the entry point through the change. Files off that path — tests, docs, index entries, config, mechanical renames — are named together in the closing step with one line each on why they changed. BECAUSE a flow the learner can follow is worth more than file-by-file completeness, and silently dropping a changed migration or test file is the gap that bites them later.
  • Teaching, never judging. The walkthrough raises no findings, no severities, and no recommended changes, and it never grades the code it is explaining. BECAUSE judging the change is code-review's job, and a learner who cannot yet follow the flow has no basis to evaluate a critique of it. Saying "this is the part people find confusing" as navigation is fine; saying "this should have been extracted" is not.
  • Accurate to the code, always. Every claim — the entry point, the order of the flow, what each chunk does, why it changed — must be grounded in code you actually read. Never infer a step you did not verify, and never invent a rationale the evidence does not support; where the why is inferred rather than stated anywhere, say it is inferred. BECAUSE a confidently wrong walkthrough builds a mental model the learner will trust and act on for months.
  • Read-only, and writes nothing. The skill explains; it never edits the target and never writes a file. The conversation is the whole deliverable. BECAUSE a durable written artifact is code-overview's output, and the absence of one here is what keeps the two skills distinct.
  • Default to small. Start size classification at small and escalate only on a clear signal. BECAUSE under-dispatching is recoverable by exploring more mid-walk, while over-dispatching burns the context this session needs to survive across many turns.
  • The step format lives at references/walkthrough-step-format.md. Render that format; do not invent a structure inline.

Walk Someone Through Code

Step 1: Resolve the Scope

Bind $size. If the first positional argument is small, medium, large, or dynamic, bind $size to it. Anything else is part of the target, not a size; bind $size to the literal none provided.

Note tool availability. Read git installed and gh installed from Project Context. If git installed is empty or reads not installed, git is unavailable — see the degraded paths below.

Resolve the target by this fixed precedence, so an ambiguous string never silently selects the wrong scope:

  1. No target given → the current branch's changes against the default branch. This is the default and the most common invocation. It needs git, not a remote pull request.
  2. A pull request reference or URL (#82, https://github.com/owner/repo/pull/82) → that pull request's changes. Requires gh.
  3. An existing file or directory path (confirm it resolves with Glob or find) → that code, walked as it stands rather than as a change.
  4. A symbol (a function, class, type, or other named entity) → that symbol, resolved with Grep across the repository.
  5. Any other context — a plan file, a ticket, a described capability, a conversation above — → walk the code from that context's perspective, covering the code that context concerns and ordering the walk by what that context cares about.

Handle the unresolvable and empty cases (state the problem plainly and stop; never guess):

  • No target given and the working tree is clean with no branch changes → say the branch has no changes to walk and ask for a target.
  • No target given and git is unavailable → say the branch default needs git, and ask for a file, directory, or symbol, which still works without it.
  • A pull request reference with gh unavailable or unreachable → say so and offer a local target instead.
  • A path or symbol that resolves to nothing, or a symbol ambiguous across several definitions → report exactly what could not be resolved and ask the learner to disambiguate.

Resolve project context. If CLAUDE.md is present, read its ## Project Discovery section for conventions; fall back to project-discovery.md. These settle language and framework questions so the explorers infer less. If neither exists, note that surrounding-code inference applies and pass that into the briefs.

Step 2: Classify Size and Trace the Flow

Classify the target's size. Default to small, and stay at the smaller band when a signal is borderline.

  • Small (default) — one file, one symbol, or a change touching a few files in one subsystem.
  • Medium — a directory or module, or a change across one or two adjacent subsystems.
  • Large — several subsystems, or a change spanning many files across them.

Apply the size override. If $size is not none provided, use it: a band value is the band and skips the signal-based classification, while dynamic forces the signal-based classification even when the project config sets a default band. If $size is none provided and the project config supplies a band via default-swarm-size (per ../../references/config-rule.md), use that band and name the config as the source in Step 3's announcement. A conversational override ("walk me through it in detail") is equivalent.

Gather the input. For a branch or pull request, capture the change set and its intent:

  • Current branch: determine the default branch from Project Context (default branch), falling back to main or master. Capture git diff {default-branch}...HEAD for committed work, then git diff and git diff --cached for uncommitted work, each as its own Bash command so a large diff streams incrementally. Capture git log {default-branch}..HEAD --pretty=format:%B for intent. When gh is available, also run gh pr view --json title,body to pick up the change's stated purpose; if no pull request exists for the branch, skip this without failing.
  • A named pull request: run gh pr view {ref} --json title,body for intent and gh pr diff {ref} for the change set.
  • A file, directory, symbol, or other context: read the target and enough of its neighbors to know its boundary — what it imports and what imports it.

Dispatch han-core:codebase-explorer to trace the flow. Scale the count to the band and launch every agent in a single message so they run concurrently:

  • Small — one explorer over the target or the changed files.
  • Medium — two or three explorers, each over a coherent slice.
  • Large — three to five explorers, each scoped to one subsystem or one area of the change.

Each brief must contain the resolved target (and, for a change, the changed-file set and the captured intent), the project conventions from Step 1 or a note that surrounding-code inference applies, and the instruction to report where the flow starts and the order it runs in — the entry point a request, command, or event actually arrives at, each subsequent hop, and which changed files sit on that path versus off it — as concrete findings citing repository-root-relative paths. Instruct each explorer to report what it found and not to assess quality, and to say so plainly where the entry point or the why is not recoverable rather than inferring one.

Wait for the whole wave before building the itinerary. Dispatching to trace the flow rather than reading everything inline keeps the main context lean, which matters here BECAUSE this session runs across many turns and a context exhausted at step 2 cannot finish the walk.

Show full SKILL.md (843 more words)Show less

Step 3: Build the Itinerary and Announce It

Invoke han-communication:explanation-guidance to surface Han's standard for explaining technical work to a reader who will not implement it. It runs inline and hands control straight back. That standard governs every turn of this session, BECAUSE every turn goes to a person who is trying to learn the code rather than write it.

Order the itinerary by the flow, starting at the entry point. Read references/walkthrough-step-format.md and apply its ordering rules. Each step is one stop on the execution path, identified by its full repository-root-relative path and the one idea it teaches. Bound the length to the band: roughly three to five steps at small, five to eight at medium, and eight to twelve at large. Where the flow is longer than the band allows, keep the stops where the change's behavior actually turns and fold the pass-through hops into the neighboring step.

Reserve the closing step for everything off the flow — tests, documentation, index entries, configuration, mechanical renames — with one line each on why it changed. Every changed file lands either on the flow or in that closing step; none is dropped.

Announce the walk in one short turn, then present step 1 in that same turn. The announcement states what is being walked, the size band and why, and the number of steps ahead — for example, Walking the current branch, size medium: 6 steps following a review request from the slash command through agent dispatch. Name tool degradation in the same line when it applies, and name the config when it supplied the band. Do NOT stop for approval here: this skill is read-only and re-runnable, so a gate on a reversible operation only trains the learner to approve without reading. Honor any adjustment they make.

Step 4: Walk One Step Per Turn

This is the loop the whole skill exists for. Repeat it until the itinerary is done.

  1. Present exactly one step, rendered per references/walkthrough-step-format.md: the position and the full repository-root-relative path, a short plain-language explanation leading with why, a small code or diff excerpt, and a one-line handoff naming what the next step covers and inviting a question.
  2. End the turn. Wait for the learner. Do not continue, do not summarize what is coming, and do not present the next step in the same turn.
  3. Read what comes back and route it:
    • An advance (next, continue, go on) → present the next step.
    • A request to go deeper → read more of the current file or its neighbors and expand on the current step, still as one step, then re-offer the next one.
    • A request to skip, jump to a named file, or go back → move the position there, say in one line where you moved to, and continue from there.
    • A request for several steps or the rest of the walk → honor it as asked; this is the one case where more than one step goes out in a turn.
    • A request to stop → stop, and say where in the itinerary they stopped so they can resume later.
    • Anything else is a question, and a question never advances the walk. Answer it at the same plain-language level, then re-offer the same next step with the counter unmoved. This is the case to get right: the instinct is to answer and roll straight into the next step, which silently spends the stop the learner just used to ask.
  4. Revise the itinerary when the code contradicts it. If tracing reveals the flow goes somewhere the plan did not predict, change the remaining steps, say so in one line, and carry on. NEVER walk a step you now know is wrong just because it was in the plan.

If a step's file cannot be read or a symbol no longer resolves, say exactly what failed, skip that step, and continue the walk. NEVER abandon the session over one unreadable file, BECAUSE the learner keeps the value of every step already walked and every step still ahead.

Step 5: Close the Walk

After the last flow step, present the closing turn:

  1. The off-flow changes, as the itinerary reserved them: each remaining changed file by its full repository-root-relative path, with one line on why it changed. Omit this entirely when the walk was not of a change set, or when every changed file sat on the flow.
  2. A short recap — three or four plain sentences tying the steps back together into what the change does and why it exists. Carry no file paths, no type names, and no symbol names in these sentences, and write them under the explanation standard sourced in Step 3, BECAUSE the learner's reliable next move is to repeat this summary to someone else in their own words.
  3. One line on where to go next, naming the sibling skill that fits what they said they wanted the understanding for: code-review to audit the change, code-overview for a written document they can keep or share, investigate to chase a bug they spotted. Recommend nothing about the code itself.

© testdouble, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in han-coding/skills/code-walkthrough of testdouble/han.

  • SKILL.md
  • references/walkthrough-step-format.md

Open the folder on GitHubat commit abba73a

Compare with similar skills

Code Walkthrough next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Code Walkthrough compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Code Walkthrough this skilltestdouble/han279—~4.4kAutomated safety check: PassMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything85k1 repos~1.4kAutomated safety check: PassMIT
Open Code Review CLIalibaba/open-code-review44k—~3.1kAutomated safety check: PassApache-2.0
PR Review State Fetchprisma/orm48k—~767Automated safety check: PassApache-2.0
Knowledge Graph PR Reviewtirth8205/code-review-graph32k—~452Automated safety check: PassMIT
Review Triage Phaseprisma/orm48k—~995Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Code Walkthrough

What does Code Walkthrough do?

Walks a person through code changes one step at a time in conversation, starting at the entry point and following the flow that changes, showing a small chunk per step and explaining it in plain…. Code Walkthrough is an agent skill from testdouble/han. Walks a person through code changes one step at a time in conversation, starting at the entry point and following the flow that changes, showing a small chunk per step and explaining it in plain language.

When should I use Code Walkthrough?

Code Walkthrough fits situations like: someone wants to be walked through; shown around code; A branch step by step; learn how a change works before reviewing.

How do I install Code Walkthrough in Claude Code?

Run `npx skills add testdouble/han --skill code-walkthrough -a claude-code`. Or copy the skill folder (han-coding/skills/code-walkthrough in testdouble/han) into .claude/skills/code-walkthrough in your project. Claude Code loads it when a task matches its description.

How do I install Code Walkthrough in Codex?

Run `npx skills add testdouble/han --skill code-walkthrough -a codex`. Or copy the skill folder (han-coding/skills/code-walkthrough in testdouble/han) into .agents/skills/code-walkthrough in your project. Codex loads it when a task matches its description.

Can I use Code Walkthrough in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add testdouble/han --skill code-walkthrough -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-walkthrough, .gemini/skills/code-walkthrough, .github/skills/code-walkthrough and .opencode/skills/code-walkthrough in your project.

What does Code Walkthrough need to run?

Going by SKILL.md and its folder, Code Walkthrough needs the command-line tools its instructions call (git, gh, bash and go). Its frontmatter pre-approves these tools: Read, Glob, Grep, Agent, Bash(git *), Bash(gh *), Bash(find *), Bash(bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh").

Does Code Walkthrough access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Code Walkthrough safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Code Walkthrough use?

Code Walkthrough is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Code Walkthrough use?

About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Code Walkthrough?

Skills that share tags, products or a category with Code Walkthrough: Understand Diff Analysis (Egonex-AI/Understand-Anything, 85k stars), Open Code Review CLI (alibaba/open-code-review, 44k stars), PR Review State Fetch (prisma/orm, 48k stars) and Knowledge Graph PR Review (tirth8205/code-review-graph, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Walkthrough?

testdouble (a GitHub organization) maintains it in testdouble/han, which has 279 GitHub stars. The repository holds 54 skills in this directory. The repository was last updated on October 1, 2026.

Source: testdouble/han on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.