render-html

render-html is a skill for Claude Code from mifunedev/openharness. It costs 112 tokens per session (1,731 once invoked), scanned A, original, Apache-2.0.

A tool that turns a file or supplied material into one self-contained HTML report designed for a person to read once and make a decision. It chooses the layout based on the material, such as tables, filters, or timelines.

In plain words
What is it for?
Use it for decision-oriented reports such as audits, roadmaps, evaluation results, or timelines.
Why use it?
It makes long or complex summaries easier to inspect than plain text when visual structure carries useful meaning. The generated file is a temporary reading artifact, not a lasting project document.

Skill for Claude Code

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

Good fit Use it for decision-oriented reports such as audits, roadmaps, evaluation results, or timelines.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mifunedev/openharness/render-html
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 mifunedev/openharness --skill render-html
Clone the repo
git clone --depth 1 https://github.com/mifunedev/openharness

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 render-html

README.md
[![agentmods](https://agentmods.dev/badge/skills/mifunedev/openharness/render-html/github.svg)](https://agentmods.dev/skills/mifunedev/openharness/render-html)
Your own site
<a href="https://agentmods.dev/skills/mifunedev/openharness/render-html"><img src="https://agentmods.dev/badge/skills/mifunedev/openharness/render-html/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 render-html

Your own site · 80×15
<a href="https://agentmods.dev/skills/mifunedev/openharness/render-html"><img src="https://agentmods.dev/badge/skills/mifunedev/openharness/render-html.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,731 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00112 $0.01731
Opus 5.5 $0.00045 $0.00692
Sonnet 5.5 $0.00022 $0.00346
Haiku 4.5 $0.00011 $0.00173

Measured 1mo ago against content hash 746958dbe0c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

render-html 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 1mo 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.

.oh/skills/render-html/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Render HTML

Take an artifact (file path or in-context material) plus a one-line intent and produce a single, self-contained HTML file optimized for the moment a human reads it once to make a decision.

Core principle (from Thariq's HTML-over-Markdown thesis): every invocation produces bespoke HTML, picked widget-by-widget for this artifact. No templates. A template forces the format back into the Markdown mindset of pre-baked structure and defeats the point.

When to use

Use when all three are true:

  1. The artifact is a synthesis the human will read once to decide something.
  2. The Markdown version would exceed ~100 lines or carry signal a table/SVG/collapsible would express more cleanly (severity, dependency, status, time).
  3. No downstream pipeline (Ralph, GitHub, another LLM, grep) consumes the artifact.

Common targets in this harness:

  • /audit harness tier-ranked report → filterable findings dashboard
  • /strategic-proposal council artifact → phase-column roadmap with critic challenges inline
  • /audit skills verdict matrix → sortable scoring table with CURRENT/STALE/BROKEN/DELETE badges
  • Weekly digest of cron liveness (crons/.cron.log) → timeline coloured by outcome

When NOT to use

Skip when the artifact is source or pipeline input — Markdown stays the substrate of the harness:

  • PRDs (.oh/tasks/*/prd.md), briefings, commit messages, PR bodies, CHANGELOG.md
  • The cron liveness trail itself (crons/.cron.log)
  • Skill/identity sources (CLAUDE.md, .claude/skills/)
  • Agent-to-agent handoffs (advisor → executor briefings)

If asked to render any of the above, refuse and explain.

Instructions

1. Parse arguments

Arguments received: $ARGUMENTS

Position Meaning
$0 slug (required, kebab-case, no extension) — becomes the filename
--from <path> optional source artifact to read
--intent <one-line> optional human-purpose hint (e.g. "pick next 3 audit actions")

Read the full file on GitHub · 129 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. 1mo ago First seen · 129 lines · 112 tokens per session scan A 746958dbe0c8

Subscribe to this mod's changes

render-html is a skill published in the GitHub repository mifunedev/openharness (37 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 112 tokens to every session and 1,731 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 2026-08-30.

Related

Other skills, from other repositories

gpu-document-processing

Use when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing. Triggers when the user provides large documents or needs bulk document analysis.

langchain-ai/deepagents · 41 tokens

data-visualization

Use for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating charts, or producing visual reports from analysis output.

langchain-ai/deepagents · 40 tokens

cuml-machine-learning

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality reduction, or model training on datasets.

langchain-ai/deepagents · 43 tokens

blog-post

Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.

langchain-ai/deepagents · 58 tokens

social-media

Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.

langchain-ai/deepagents · 58 tokens

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens