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pi-agent-observability: Skill for Claude Code

.claude/skills/htmlvspec/SKILL.md

htmlvspec is a skill for Claude Code from disler/pi-agent-observability. It costs 119 tokens per session (4,794 once invoked), scanned A, original, MIT.

A visual engineering plan saved as one HTML page, with diagrams and optional interactive content for explaining a software project.

In plain words
What is it for?
Use it to document an implementation, add a diagram for each major section, and include custom HTML, CSS, SVG, or JavaScript such as toggles, animated flows, comparison tables, or decision trees.
Why use it?
It gives developers a browser-openable plan that can show structure and decisions more clearly than plain text alone.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; positional $N argument.

This is disler/pi-agent-observability's own configuration. It tells Claude Code how to work on pi-agent-observability itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything pi-agent-observability configures →

not rated 148repo +1 5mo ago A scan 119 tokens original MIT
View source ↗ disler/pi-agent-observability
Reuse

Borrowing it

Nothing to install: this file belongs to disler/pi-agent-observability. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/disler/pi-agent-observability/main/.claude/skills/htmlvspec/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/disler/pi-agent-observability

Made for: Claude Code.

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 htmlvspec

README.md
[![agentmods](https://agentmods.dev/badge/skills/disler/pi-agent-observability/htmlvspec/github.svg)](https://agentmods.dev/skills/disler/pi-agent-observability/htmlvspec)
Your own site
<a href="https://agentmods.dev/skills/disler/pi-agent-observability/htmlvspec"><img src="https://agentmods.dev/badge/skills/disler/pi-agent-observability/htmlvspec/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 htmlvspec

Your own site · 80×15
<a href="https://agentmods.dev/skills/disler/pi-agent-observability/htmlvspec"><img src="https://agentmods.dev/badge/skills/disler/pi-agent-observability/htmlvspec.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,794 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 $0.00119 $0.04794
Opus 5.5 $0.00048 $0.01918
Sonnet 5.5 $0.00024 $0.00959
Haiku 4.5 $0.00012 $0.00479

Measured 2mo ago against content hash ee3414ce2ab2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

htmlvspec 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_image.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.

.claude/skills/htmlvspec/SKILL.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

htmlvspec

Purpose

Produce a visual engineering implementation plan as one self-contained HTML page — specs/<plan-name>.html — that you can open directly in a browser. The plan is authored directly in HTML using the template below, with one AI-generated diagram image per section (hero + per major H2) generated in parallel and embedded inline, and a dedicated Freeform zone that lets you author any HTML you want (interactive toggles, animated SVG flows, comparison matrices, decision trees, etc.) to make the plan clearer and richer than prose could.

Phases, in order:

  1. Plan phase — analyze, explore, design (same thinking as a normal spec).
  2. HTML authoring phase — write the plan into the HTML Plan Template.
  3. Image phase — generate one diagram per section in parallel and embed them inline.
  4. Freeform phase — enrich the page with custom HTML per the Freeform Instruction Set.

Variables

USER_PROMPT: $1 ALL_ARGUMENTS: $ARGUMENTS PLAN_OUTPUT_DIRECTORY: specs/ PLAN_SLUG: kebab-case name derived from the plan topic (e.g. in-memory-ttl-lru-cache) HTML_OUTPUT: specs/htmlvspec-<PLAN_SLUG>.html — the filename MUST always begin with the htmlvspec- prefix IMAGE_DIR: specs/htmlvspec-<PLAN_SLUG>/ — sibling directory matching the HTML filename (same htmlvspec- prefix) IMAGE_GENERATOR: ~/.claude/skills/htmlvspec/scripts/generate_image.py IMAGE_SIZE: 2048x1152 (wide 16:9 by default) IMAGE_QUALITY: high HERO_IMAGE_NAME: 00-hero.png MAX_TEXT_LABELS_PER_IMAGE: 10 MAX_TOTAL_IMAGES: 10

Instructions

Plan phase

  • IMPORTANT: If no USER_PROMPT is provided, stop and ask the user to provide it.
  • Carefully analyze the USER_PROMPT. Determine task type (chore|feature|refactor|fix|enhancement) and complexity (simple|medium|complex).
  • Think deeply (ultrathink) about the best implementation approach.
  • Explore the codebase to understand existing patterns and architecture.
  • Decide which sections from the HTML Plan Template apply (include the conditional sections only when task type/complexity warrants them, exactly like a normal spec).
  • Generate a descriptive kebab-case PLAN_SLUG from the topic.

Read the full file on GitHub · 303 lines

Files

What ships with it

1 file 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. 2mo ago First seen · 303 lines · 119 tokens per session scan A ee3414ce2ab2

Subscribe to this mod's changes

htmlvspec is a skill published in the GitHub repository disler/pi-agent-observability (148 stars, last pushed 5mo ago), licensed MIT. It adds 119 tokens to every session and 4,794 once invoked, about $0.0005 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 2026-08-30.

Design and UXPlanning
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