visual-change-recap

visual-change-recap is a skill for Codex from nikolasbarwicki/skills. It costs 70 tokens per session (1,918 once invoked), scanned A, original, MIT.

A local HTML report generator that explains what a pull request, branch, commit range, or working-tree change actually introduced. A pull request is a proposed set of code changes for review.

In plain words
What is it for?
Use it to document substantial completed changes from local repository history or an uncommitted working tree. It explains changes but does not prove they are correct or secure.
Why use it?
It turns a large code diff into a standalone explanation of the architecture, user flows, changed files, contracts, interface states, and available validation evidence.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to document substantial completed changes from local repository history or an uncommitted working tree. It explains changes but does not prove they are correct or secure.

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Install with agentmods
npx agentmods add skills/nikolasbarwicki/skills/visual-change-recap
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 nikolasbarwicki/skills --skill visual-change-recap
Clone the repo
git clone --depth 1 https://github.com/nikolasbarwicki/skills

Made for: Codex.

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 visual-change-recap

README.md
[![agentmods](https://agentmods.dev/badge/skills/nikolasbarwicki/skills/visual-change-recap/github.svg)](https://agentmods.dev/skills/nikolasbarwicki/skills/visual-change-recap)
Your own site
<a href="https://agentmods.dev/skills/nikolasbarwicki/skills/visual-change-recap"><img src="https://agentmods.dev/badge/skills/nikolasbarwicki/skills/visual-change-recap/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 visual-change-recap

Your own site · 80×15
<a href="https://agentmods.dev/skills/nikolasbarwicki/skills/visual-change-recap"><img src="https://agentmods.dev/badge/skills/nikolasbarwicki/skills/visual-change-recap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,918 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 $0.00070 $0.01918
Opus 5 $0.00035 $0.00959
Sonnet 5 $0.00014 $0.00384
Haiku 4.5 $0.00007 $0.00192

Measured 9d ago against content hash 8c3ab8fe0d4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

visual-change-recap 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 9d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/check_language.py, scripts/collect_diff.py, scripts/render_visual.py), 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.

skills/visual-change-recap/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Visual Change Recap

Explain what a body of code changes actually introduced at a higher altitude than line-by-line review. The repository and diff are the source of truth; the HTML recap is a grounded human-facing projection.

The skill is local-only. Do not use MCPs, hosted plan services, GitHub Actions, or external assets. It explains a change but does not certify correctness, security, or conformance with a specification.

Inputs

Accept a pull request, branch, commit range, or working tree. Prefer an explicit base when the user gives one. Otherwise resolve the default branch locally and record the chosen merge base. An original implementation plan is optional and may be used only to show planned-versus-delivered status; it must never override evidence from the code.

This offline skill cannot resolve an arbitrary PR number or URL from a remote host. For a PR, use already-fetched local refs or require the caller to provide the local base and head refs. Do not add network access merely to resolve it.

Workflow

  1. Establish the exact base, head, and whether uncommitted changes belong in scope. Exclude unrelated pre-existing work.

  2. Create a fresh temporary directory outside the repository unless the user supplies an output directory. Collect deterministic metadata using absolute script and output paths:

    python3 /absolute/skill/directory/scripts/collect_diff.py \
      --repo /absolute/repository \
      --output /absolute/output/directory/context.json
    

    Pass --base <ref> or --include-working-tree when appropriate.

  3. Read the changed files and diff once, grouping them by behavior rather than directory or alphabetical order. Identify the outcome, public/data contracts, runtime flows, UI states, deployment effects, observed validation, and load-bearing files. For a very large diff, state what was omitted instead of pretending to have represented everything.

  4. Make the default view a reviewer briefing, not a complete dossier. Expand no more than three primary visual blocks: normally the current capability map, one architecture view, and one runtime or data-model view. Keep the concise review-focus bullets visible in the overview; detailed review questions may be collapsed. Endpoint operation rows may remain visible when compact, or the whole reference may be collapsed for a very large surface. Collapse tool catalogs, secondary diagrams, UI states, code excerpts, plan comparison, files, and exhaustive evidence.

  5. Read references/visual-document.md and references/language-style.md. Author a v5 document.json with kind: "recap", durable base/head provenance, and attach file/line/ref evidence to every nontrivial claim. Inference must be visibly labeled. Never copy secret values into the JSON; replace them before rendering. Describe the branch with new, changed, reused, and removed. Do not use plan-conformance language outside the collapsed alignment block.

  6. Check the human-facing prose before rendering:

Read the full file on GitHub · 179 lines

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. 9d ago First seen · 179 lines · 70 tokens per session scan A 8c3ab8fe0d4d

Subscribe to this mod's changes

visual-change-recap is a skill published in the GitHub repository nikolasbarwicki/skills (2 stars, last pushed 19d ago), licensed MIT. It adds 70 tokens to every session and 1,918 once invoked, about $0.0003 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.