interactive-review

interactive-review is a skill for Claude Code from LandonSchropp/agent-toolkit. It costs 47 tokens per session (1,022 once invoked), scanned A, original, MIT.

A workflow for asking the user to review code changes during an ongoing task and reading their notes back.

In plain words
What is it for?
It helps run interactive reviews of code differences and use the user's annotations to guide the next steps.
Why use it?
It lets work pause for feedback on current, staged, or committed changes before continuing.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the ls-interactivity plugin — 6 skills shipped together

Good fit It helps run interactive reviews of code differences and use the user's annotations to guide the next steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/landonschropp/agent-toolkit/interactive-review
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 LandonSchropp/agent-toolkit --skill interactive-review
Clone the repo
git clone --depth 1 https://github.com/LandonSchropp/agent-toolkit

Made for: Claude Code.

Or install ls-interactivity, the plugin that ships this one along with the rest of its 6 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 interactive-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/landonschropp/agent-toolkit/interactive-review/github.svg)](https://agentmods.dev/skills/landonschropp/agent-toolkit/interactive-review)
Your own site
<a href="https://agentmods.dev/skills/landonschropp/agent-toolkit/interactive-review"><img src="https://agentmods.dev/badge/skills/landonschropp/agent-toolkit/interactive-review/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 interactive-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/landonschropp/agent-toolkit/interactive-review"><img src="https://agentmods.dev/badge/skills/landonschropp/agent-toolkit/interactive-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,022 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 $0.00047 $0.01022
Opus 5.5 $0.00019 $0.00409
Sonnet 5.5 $0.00009 $0.00204
Haiku 4.5 $0.00005 $0.00102

Measured 14d ago against content hash b8173e72af4b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

interactive-review 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 14d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/interactive-review.sh, scripts/listen.sh, scripts/record-approval.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/ls-interactivity/skills/interactive-review/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interactive Review

Opening the Review

Run scripts/interactive-review.sh <mode> [<arguments>] [--directory <path>]. It opens Hunk in a background herdr tab named review, prints the repository to listen to, and returns right away. Running it again while that review is open reloads it in place, keeping the user's comments.

The script supports several modes:

  • working: Unstaged changes only, including untracked files.
  • staged: Staged changes only.
  • commit <sha>: A single commit, compared with its parent.
  • diff <before> <after>: One path against another, neither of which needs to be in a repository. See Reviewing Files Outside A Repository.

Run scripts/interactive-review.sh --help for details. If it prints Review is disabled for this workspace. instead of a repository, skip the review.

--directory is the repository holding the changes, which is not always the one the session started in. Pass it explicitly every time rather than relying on where the command happens to run. When it isn't the session's own repository, commit with git -C <same directory>: the commit hook resolves the repository from that flag and can't see a cd, so it blocks an approved commit without one.

Listening for the Decision

REQUIRED: Use the hunk-verdict skill to listen for the user's decision and to act on it and the user's comments, but listen with scripts/listen.sh --directory <printed repository> in place of hunk verdict listen. It prints the same lines, and on an approval, a comment or a denial it switches the user back to your tab. In staged mode, the review shows only what's staged, so stage your fixes to make them show, and stage any edits the user makes during the review. Stage only the changes that belong to the commit, since a file can be partly staged on purpose.

Reply to every comment you handle. When you made the change exactly as asked, reply with ✅ and nothing else; otherwise briefly explain what you did or why you didn't make the change. The user reads those replies in Hunk, so don't repeat them in your chat message: say you replied in the review, and at most name what you changed. Never remove the user's comments: they're the record of what happened in the review.

Read the full file on GitHub · 57 lines

Files

What ships with it

3 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. 14d ago Changed b8173e72af4b
  2. 16d ago Changed 9b055733377f
  3. 24d ago Changed · +19 lines · +2 tokens per session 0b44b9a3b562
  4. 1mo ago Changed · +6 lines 9693f1a2a9fb
  5. 1mo ago Changed · +3 lines · +3 tokens per session 069b4d783488
  6. 1mo ago First seen · 29 lines · 42 tokens per session scan A 1056e8e704a2

Subscribe to this mod's changes

interactive-review is a skill published in the GitHub repository LandonSchropp/agent-toolkit (3 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 1,022 once invoked, about $0.0002 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 2026-08-31.

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