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 wanshuiyin/ARIS-in-AI-Offer --skill render-htmlgit clone --depth 1 https://github.com/wanshuiyin/ARIS-in-AI-OfferWrote 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/wanshuiyin/aris-in-ai-offer/render-html)<a href="https://agentmods.dev/skills/wanshuiyin/aris-in-ai-offer/render-html"><img src="https://agentmods.dev/badge/skills/wanshuiyin/aris-in-ai-offer/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.
<a href="https://agentmods.dev/skills/wanshuiyin/aris-in-ai-offer/render-html"><img src="https://agentmods.dev/badge/skills/wanshuiyin/aris-in-ai-offer/render-html.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 | $0.00132 | $0.04932 |
| Opus 5 | $0.00066 | $0.02466 |
| Sonnet 5 | $0.00026 | $0.00986 |
| Haiku 4.5 | $0.00013 | $0.00493 |
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 11d 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.
This is a copy
88% identical to render-html — 75 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/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-htmlturns 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.mdfiles — 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
--reviewto 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,
--offlinefallback. MathJax 3 and highlight.js load fromcdn.jsdelivr.netby default. Pass--offlineto skip both — math will appear as raw$x$, code blocks won't get syntax highlighting, but everything stays readable. - Pure stdlib helper.
render_html.pyuses onlyre,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, allon*event-handler attributes (onclick,onload, …), and rewritesjavascript:/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.
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.
- 11d ago First seen · 294 lines · 132 tokens per session scan A 1f3b5af6dc8b
render-html is a skill published in the GitHub repository wanshuiyin/ARIS-in-AI-Offer (473 stars, last pushed today), licensed MIT. It adds 132 tokens to every session and 4,932 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to render-html, differing in 75 lines, and is treated as a copy.
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