Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add patrickdappollonio/claude-plugins/plugin install visual-docsWrote 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/patrickdappollonio/claude-plugins/visual-plan)<a href="https://agentmods.dev/skills/patrickdappollonio/claude-plugins/visual-plan"><img src="https://agentmods.dev/badge/skills/patrickdappollonio/claude-plugins/visual-plan/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/patrickdappollonio/claude-plugins/visual-plan"><img src="https://agentmods.dev/badge/skills/patrickdappollonio/claude-plugins/visual-plan.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 | $0.00102 | $0.04545 |
| Opus 5.5 | $0.00041 | $0.01818 |
| Sonnet 5.5 | $0.00020 | $0.00909 |
| Haiku 4.5 | $0.00010 | $0.00455 |
Grade A, and why
visual-plan 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 21d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Plan
Turn a plan into an interactive document the user reviews in their browser, served entirely from their machine. The plan is a plain markdown file — the bundled server renders it with diagrams, diffs, and styled blocks, live-reloads as you edit it, and collects the user's comments for you to read back.
A plan says what we will do. A recap explains what changed; a plan explains what is wrong and what we will do about it. A section that diagnoses a problem and stops is the plan's most common failure — the reader finishes it asking "so what?" — and the linter flags it (document-quality §2b).
Before anything else, fix who you're writing for: the CEO of the company — a tech-savvy non-developer. Not a fellow engineer, not the person who wrote the code, and not someone who will ever open the repo. This shapes every sentence you write. They decide based on business logic — what changes, why it's worth it, what could go wrong — so explain behavior in plain language and reach for code only when the reader must see it to decide. The linter warns when plain-language sections name code symbols, and those findings must be fixed like any other.
Acknowledge first, then work quietly. Before you do anything else, reply with one short sentence that acknowledges the request and says you're gathering what you need — e.g. "Got it — let me dig into the code and put together a visual plan for the rate-limiting change." This is the one message the user should get up front; never jump straight into tool calls with no reply. Then spend your tokens on the document, not on narrating: do the research and inventory silently — no step-by-step play-by-play, no restating what you found — and surface next with the link (once served) and a one-line pointer. Put the budget you'd spend narrating into the plan's coverage instead.
The sequence — do every step, in order; the last two are the ones agents skip:
- Research the change and write the plan file.
- Inventory it (silently).
- Lint it and fix every finding — required, not optional (§3).
- Self-review the rendered document — required (§3): re-read it top to bottom against your inventory before anyone else sees it.
- Serve it and hand over the link.
- Read and act on comments — then back to 3 and 4 for every edit.
Every write runs write → lint → verify — the first draft and every revision. After an edit, do not serve, share, or say "done" until the linter is clean on that file and you have re-read the changed sections against its closing reminder. Revisions are where agents skip this.
What ships with it
31 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.
- server/assets/app.css 59 KB
- server/assets/app.js 163 KB runs code
- server/assets/index.html 2.6 KB
- server/assets/vendor/diff2html.min.css 17 KB
- server/assets/vendor/diff2html.min.js 66 KB runs code
- server/assets/vendor/graphre.js 38 KB runs code
- server/assets/vendor/highlight.min.js 119 KB runs code
- server/assets/vendor/hljs-github-dark.min.css 1.3 KB
- server/assets/vendor/hljs-github.min.css 1.3 KB
- server/assets/vendor/htm.umd.js 1.3 KB runs code
- server/assets/vendor/js-yaml.min.js 39 KB runs code
- server/assets/vendor/manifest.json 5.6 KB
- server/assets/vendor/marked.min.js 35 KB runs code
- server/assets/vendor/mermaid.min.js 3258 KB runs code
- server/assets/vendor/nomnoml.js 71 KB runs code
- server/assets/vendor/preact-hooks.umd.js 3.8 KB runs code
- server/assets/vendor/preact.min.js 11 KB runs code
- server/assets/vendor/purify.min.js 21 KB runs code
- server/bin/visual-docs-lint.js 25 KB runs code
- server/bin/visual-docs-server.js 26 KB runs code
- server/examples/demo-plan.md 7.3 KB
- server/lib/export.js 7.1 KB runs code
- server/lib/prefs.js 3.3 KB runs code
- server/lib/server.js 51 KB runs code
- server/lib/trash.js 5.1 KB runs code
- server/lib/version.js 1.8 KB runs code
- server/package.json 1.1 KB
- server/README.md 7.6 KB
- server/scripts/update-vendor.mjs 11 KB runs code
- shared/authoring-guide.md 23 KB
- shared/document-quality.md 15 KB
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.
- 21d ago Changed bd0fbe97708e
- 1mo ago Changed · -178 lines 128bf96d5397
- 2mo ago First seen · 353 lines · 102 tokens per session scan A cbf705d8aedb
visual-plan is a skill published in the GitHub repository patrickdappollonio/claude-plugins (9 stars, last pushed yesterday), licensed MIT. It adds 102 tokens to every session and 4,545 once invoked, about $0.0004 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.
visual-plan compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| visual-planpatrickdappollonio/claude-plugins | Skill | 9 | yesterday | MIT | A | 102 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |