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 skills add nikolasbarwicki/skills --skill visual-change-recapgit clone --depth 1 https://github.com/nikolasbarwicki/skillsWrote 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/nikolasbarwicki/skills/visual-change-recap)<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.
<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>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 | $0.00070 | $0.01918 |
| Opus 5 | $0.00035 | $0.00959 |
| Sonnet 5 | $0.00014 | $0.00384 |
| Haiku 4.5 | $0.00007 | $0.00192 |
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.
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 — 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
-
Establish the exact base, head, and whether uncommitted changes belong in scope. Exclude unrelated pre-existing work.
-
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.jsonPass
--base <ref>or--include-working-treewhen appropriate. -
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.
-
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.
-
Read references/visual-document.md and references/language-style.md. Author a v5
document.jsonwithkind: "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 withnew,changed,reused, andremoved. Do not use plan-conformance language outside the collapsed alignment block. -
Check the human-facing prose before rendering:
What ships with it
10 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.
- agents/openai.yaml 286 B
- references/examples/backend-data.json 5.4 KB
- references/examples/refactor.json 5.6 KB
- references/examples/ui-api.json 4.6 KB
- references/golden-scenarios.md 1.3 KB
- references/language-style.md 4.1 KB
- references/visual-document.md 6.8 KB
- scripts/check_language.py 7.2 KB runs code
- scripts/collect_diff.py 8.7 KB runs code
- scripts/render_visual.py 79 KB runs code
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.
- 9d ago First seen · 179 lines · 70 tokens per session scan A 8c3ab8fe0d4d
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.
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