/render-html
Render an ARIS Markdown / JSON artifact (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN, research-wiki state, etc.) into a single-file HTML view designed for human reading. Use when the user says \"渲染 HTML\", \"出一份 HTML 报告\", \"render html\", \"make this readable\",
$ npx -y skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill render-html --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/render-html
Context preview
The summary Claude sees to decide when to auto-load this skill.
Render an ARIS Markdown / JSON artifact (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN, research-wiki state, etc.) into a single-file HTML view designed for human reading. Use when the user says \"渲染 HTML\", \"出一份 HTML 报告\", \"render html\", \"make this readable\",
SKILL.md
render-html.SKILL.mdname: render-html
description: "Render an ARIS Markdown / JSON artifact (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN, research-wiki state, etc.) into a single-file HTML view designed for human reading. Use when the user says \"渲染 HTML\", \"出一份 HTML 报告\", \"render html\", \"make this readable\", \"export to html\", or wants a polished web-rendered view of a Markdown artifact."
argument-hint: "<input.md> [--template academic|dashboard] [--out <path>] [--title ...] [--state <state.json>] [--json <sidecar.json>] [--offline] [--review|--no-review]"
allowed-tools: Bash(*), Read, Write, mcp__codex__codex
/render-html: Markdown → single-file HTML for human reading
> **Markdown is for writers. HTML is for readers.** ARIS workflow nodes write Markdown (canonical, audit-trail-friendly, machine-parseable). `/render-html` turns *selected* artifacts into a polished single-file HTML view for the human who actually has to read them. The Markdown stays the source of truth.
When to use this skill
**Use `/render-html` for** ARIS artifacts that have a real human reader:
| Artifact | Why HTML helps | Template | |----------|----------------|----------| | `idea-stage/IDEA_REPORT.md` | Ranked ideas + pilot signal + scores feel like a decision dashboard, not a flat list | `academic` | | `review-stage/AUTO_REVIEW.md` (+ `REVIEW_STATE.json`) | Round-by-round score progression + weakness status; pass `--state` to embed the JSON | `academic` | | `paper/KILL_ARGUMENT.md` (+ `KILL_ARGUMENT.json`) | Per-point attack/defense with `<details>` Q&A cards + red/yellow/green callouts | `academic` | | `research-wiki/SUMMARY.md` (or `research-wiki/index.md`) | Cross-entity cockpit: papers / ideas / experiments / claims at a glance | `dashboard` | | `PAPER_PLAN.md` (optional) | Claims-evidence matrix renders better as a polished table than raw MD | `academic` | | `RESUBMIT_REPORT.{md,json}` (optional) | 7-state failure-mode ledger | `academic` or `dashboard` |
**Do NOT use** for:
- LaTeX paper output — the final reader-facing artifact is PDF, not HTML.
- `SKILL.md` files — those are internal LLM-facing protocol.
- `.aris/traces/*` review traces — forensic debug, not human display.
- Every Markdown file in your project — only artifacts that benefit from sticky TOC, callouts, math, or score progressions.
Core invariants
- **MD / JSON is canonical, HTML is generated view.** Edit the source, then re-render. Do not hand-edit the HTML.
- **Cross-model review at the artifact boundary** (ARIS invariant). Academic-template HTML — used for the artifacts humans actually read (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN) — is reviewed by a fresh cross-family Codex thread before being claimed as a finished view. Dashboard-template HTML (cockpit / debug views) skips review by default but accepts `--review` to force it. See § *HTML Review Gate* below.
- **Drift detection.** Every rendered HTML embeds the source path, SHA256, and generation timestamp in `<meta>` tags AND in the visible page header. If the HTML and source diverge, the meta tells you which version of the source produced it.
- **Single-file output.** No build system, no separate CSS, no `node_modules`. Just one `.html`.
- **CDN-friendly default, `--offline` fallback.** MathJax 3 and highlight.js load from `cdn.jsdelivr.net` by default. Pass `--offline` to skip both — math will appear as raw `$x$`, code blocks won't get syntax highlighting, but everything stays readable.
- **Pure stdlib helper.** `render_html.py` uses only `re`, `html`, `hashlib`, `json`, `datetime`, `pathlib`, `argparse`, `sys`. No pip install required.
- **Defense-in-depth XSS sanitization.** The helper strips `<script>`/`<style>`/`<iframe>`/`<object>`/`<embed>`/`<form>`/`<input>`/`<button>`/`<link>`/`<meta>`/`<base>` tags, all `on*` event-handler attributes (`onclick`, `onload`, …), and rewrites `javascript:`/`vbscript:`/`data:` href/src/action schemes to `#blocked-unsafe-url:`. ARIS workflow artifacts should not contain these in the first place, but the sanitizer is the safety net in case an LLM hallucinates one. Markdown text content is HTML-escaped separately and never reaches the sanitizer.
Tool Location
Arch C self-contained: the canonical implementation lives at `skills/render-html/scripts/render_html.py` (this SKILL's own `scripts/` subdirectory), together with its templates at `skills/render-html/scripts/templates/{academic,dashboard}.html`. The helper is new — no legacy `tools/` shim exists.
Resolve `$RENDER_HTML` with the hybrid chain (Layer 0 prefers the self-contained location for the owning SKILL; Layers 1-3 are the shared-runtime chain documented in [`shared-references/integration-contract.md`](../shared-references/integration-contract.md) §2, **Policy A — skill-local gate**):
# Layer 0: self-contained (CC 1.0+ exposes $CLAUDE_SKILL_DIR).
RENDER_HTML=""
if [ -n "${CLAUDE_SKILL_DIR:-}" ] && [ -f "$CLAUDE_SKILL_DIR/scripts/render_html.py" ]; then
RENDER_HTML="$CLAUDE_SKILL_DIR/scripts/render_html.py"
fi
# Layers 1-3: shared-runtime chain (non-CC hosts + manual installs).
if [ -z "$RENDER_HTML" ]; then
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
if [ -z "${ARIS_REPO:-}" ] && [ -f .aris/installed-skills.txt ]; then
ARIS_REPO=$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null) || true
fi
RENDER_HTML=".aris/skills/render-html/scripts/render_html.py"
[ -f "$RENDER_HTML" ] || RENDER_HTML="skills/render-html/scripts/render_html.py"
[ -f "$RENDER_HTML" ] || { [ -n "${ARIS_REPO:-}" ] && RENDER_HTML="$ARIS_REPO/skills/render-html/scripts/render_html.py"; }
[ -f "$RENDER_HTML" ] || RENDER_HTML=""
fi
[ -z "$RENDER_HTML" ] && {
echo "ERROR: render_html.py not resolved (layer 0: \$CLAUDE_SKILL_DIR/scripts/; layers 1-3: .aris/skills/render-html/scripts/, skills/render-html/scripts/, \$ARIS_REPO/skills/render-html/scripts/)." >&2
echo " /render-html cannot produce HTML outRead more
name: render-html description: "Render an ARIS Markdown / JSON artifact (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN, research-wiki state, etc.) into a single-file HTML view designed for human reading. Use when the user says \"渲染 HTML\", \"出一份 HTML 报告\", \"render html\", \"make this readable\", \"export to html\", or wants a polished web-rendered view of a Markdown artifact." argument-hint: "<input.md> [--template academic|dashboard] [--out <path>] [--title ...] [--state <state.json>] [--json <sidecar.json>] [--offline] [--review|--no-review]" allowed-tools: Bash(*), Read, Write, mcp__codex__codex
/render-html: Markdown → single-file HTML for human reading
> **Markdown is for writers. HTML is for readers.** ARIS workflow nodes write Markdown (canonical, audit-trail-friendly, machine-parseable). `/render-html` turns *selected* artifacts into a polished single-file HTML view for the human who actually has to read them. The Markdown stays the source of truth.
When to use this skill
**Use `/render-html` for** ARIS artifacts that have a real human reader:
| Artifact | Why HTML helps | Template | |----------|----------------|----------| | `idea-stage/IDEA_REPORT.md` | Ranked ideas + pilot signal + scores feel like a decision dashboard, not a flat list | `academic` | | `review-stage/AUTO_REVIEW.md` (+ `REVIEW_STATE.json`) | Round-by-round score progression + weakness status; pass `--state` to embed the JSON | `academic` | | `paper/KILL_ARGUMENT.md` (+ `KILL_ARGUMENT.json`) | Per-point attack/defense with `<details>` Q&A cards + red/yellow/green callouts | `academic` | | `research-wiki/SUMMARY.md` (or `research-wiki/index.md`) | Cross-entity cockpit: papers / ideas / experiments / claims at a glance | `dashboard` | | `PAPER_PLAN.md` (optional) | Claims-evidence matrix renders better as a polished table than raw MD | `academic` | | `RESUBMIT_REPORT.{md,json}` (optional) | 7-state failure-mode ledger | `academic` or `dashboard` |
**Do NOT use** for:
- LaTeX paper output — the final reader-facing artifact is PDF, not HTML.
- `SKILL.md` files — those are internal LLM-facing protocol.
- `.aris/traces/*` review traces — forensic debug, not human display.
- Every Markdown file in your project — only artifacts that benefit from sticky TOC, callouts, math, or score progressions.
Core invariants
- **MD / JSON is canonical, HTML is generated view.** Edit the source, then re-render. Do not hand-edit the HTML.
- **Cross-model review at the artifact boundary** (ARIS invariant). Academic-template HTML — used for the artifacts humans actually read (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN) — is reviewed by a fresh cross-family Codex thread before being claimed as a finished view. Dashboard-template HTML (cockpit / debug views) skips review by default but accepts `--review` to force it. See § *HTML Review Gate* below.
- **Drift detection.** Every rendered HTML embeds the source path, SHA256, and generation timestamp in `<meta>` tags AND in the visible page header. If the HTML and source diverge, the meta tells you which version of the source produced it.
- **Single-file output.** No build system, no separate CSS, no `node_modules`. Just one `.html`.
- **CDN-friendly default, `--offline` fallback.** MathJax 3 and highlight.js load from `cdn.jsdelivr.net` by default. Pass `--offline` to skip both — math will appear as raw `$x$`, code blocks won't get syntax highlighting, but everything stays readable.
- **Pure stdlib helper.** `render_html.py` uses only `re`, `html`, `hashlib`, `json`, `datetime`, `pathlib`, `argparse`, `sys`. No pip install required.
- **Defense-in-depth XSS sanitization.** The helper strips `<script>`/`<style>`/`<iframe>`/`<object>`/`<embed>`/`<form>`/`<input>`/`<button>`/`<link>`/`<meta>`/`<base>` tags, all `on*` event-handler attributes (`onclick`, `onload`, …), and rewrites `javascript:`/`vbscript:`/`data:` href/src/action schemes to `#blocked-unsafe-url:`. ARIS workflow artifacts should not contain these in the first place, but the sanitizer is the safety net in case an LLM hallucinates one. Markdown text content is HTML-escaped separately and never reaches the sanitizer.
Tool Location
Arch C self-contained: the canonical implementation lives at `skills/render-html/scripts/render_html.py` (this SKILL's own `scripts/` subdirectory), together with its templates at `skills/render-html/scripts/templates/{academic,dashboard}.html`. The helper is new — no legacy `tools/` shim exists.
Resolve `$RENDER_HTML` with the hybrid chain (Layer 0 prefers the self-contained location for the owning SKILL; Layers 1-3 are the shared-runtime chain documented in [`shared-references/integration-contract.md`](../shared-references/integration-contract.md) §2, **Policy A — skill-local gate**):
# Layer 0: self-contained (CC 1.0+ exposes $CLAUDE_SKILL_DIR).
RENDER_HTML=""
if [ -n "${CLAUDE_SKILL_DIR:-}" ] && [ -f "$CLAUDE_SKILL_DIR/scripts/render_html.py" ]; then
RENDER_HTML="$CLAUDE_SKILL_DIR/scripts/render_html.py"
fi
# Layers 1-3: shared-runtime chain (non-CC hosts + manual installs).
if [ -z "$RENDER_HTML" ]; then
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
if [ -z "${ARIS_REPO:-}" ] && [ -f .aris/installed-skills.txt ]; then
ARIS_REPO=$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null) || true
fi
RENDER_HTML=".aris/skills/render-html/scripts/render_html.py"
[ -f "$RENDER_HTML" ] || RENDER_HTML="skills/render-html/scripts/render_html.py"
[ -f "$RENDER_HTML" ] || { [ -n "${ARIS_REPO:-}" ] && RENDER_HTML="$ARIS_REPO/skills/render-html/scripts/render_html.py"; }
[ -f "$RENDER_HTML" ] || RENDER_HTML=""
fi
[ -z "$RENDER_HTML" ] && {
echo "ERROR: render_html.py not resolved (layer 0: \$CLAUDE_SKILL_DIR/scripts/; layers 1-3: .aris/skills/render-html/scripts/, skills/render-html/scripts/, \$ARIS_REPO/skills/render-html/scripts/)." >&2
echo " /render-html cannot produce HTML out· · · · · · -orange?style=flat) · · 💬 Join Community · 💡 Use ARIS as a skill-based workflow in Claude Code / Codex CLI / Cursor / Trae / Antigravity / GitHub Copilot CLI / OpenClaw, or get the full experience with the standalone ARIS-Code CLI — enjoy any
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Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
Open skill - /alphaxiv
Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
Open skill - /analyze-results
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
Open skill - /arxiv
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
Open skill - /auto-paper-improvement-loop
Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\", \"auto improve\", or wants to iteratively polish a generated paper.
Open skill - /auto-review-loop-llm
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
Open skill

