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 markmhendrickson/ateles --skill draft-rendered-pagegit clone --depth 1 https://github.com/markmhendrickson/atelesWrote 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/markmhendrickson/ateles/draft-rendered-page)<a href="https://agentmods.dev/skills/markmhendrickson/ateles/draft-rendered-page"><img src="https://agentmods.dev/badge/skills/markmhendrickson/ateles/draft-rendered-page/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/markmhendrickson/ateles/draft-rendered-page"><img src="https://agentmods.dev/badge/skills/markmhendrickson/ateles/draft-rendered-page.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 21 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00000 | $0.04949 |
| Opus 5.5 | $0.00000 | $0.01980 |
| Sonnet 5.5 | $0.00000 | $0.00990 |
| Haiku 4.5 | $0.00000 | $0.00495 |
Grade A, and why
draft-rendered-page 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.
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: draft-rendered-page description: Draft a visual HTML outreach/proposal page stored as a Neotoma rendered_page entity, served at a stable guest URL. Grounds scenarios in the recipient's own words and case studies, applies their brand palette, frames as exploration not proposal, and ships mobile-responsive from the first draft. slug: draft-rendered-page user_invocable: true triggers:
- draft rendered page
- draft proposal page
- create rendered page
- rendered page
- /draft-rendered-page supported_harnesses:
- claude-code
- cursor entity_id: ent_20d1e8a0419632311ac3c88d
Draft rendered page
Draft a visual HTML outreach/proposal page and store it as a Neotoma rendered_page entity (html_body + custom_css), served at GET /entities/:id/html via a guest access token. The page is for a specific named recipient (a peer, a prospective partner). CSP blocks all JS — inline SVG only, no JavaScript.
Goal of this skill: produce a FIRST draft close to what the user wants, minimizing iteration. The rules below are distilled from a prior multi-iteration session (full learnings: note ent_b5bfbffe2b70f9ba9e5649c5, mirror docs/private/skills/draft_rendered_page_learnings.md).
Process (do these in order)
- Scrape the recipient's website FIRST. Before drafting, pull their marketing pages, case studies, and blog for the customer pains they already dramatize, and their brand palette. Use those as scenario anchors and colors. This is step 1, not an afterthought.
- Draft the email and the page together. They are coupled — the email references the page; the page should reflect the email's framing. Don't do them sequentially.
- Author
html_body+custom_css, mobile-responsive from the start. - Push both fields in a single correction pass (they are tightly coupled).
- Mint/verify the guest token and the shareable URL.
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.
- 1mo ago First seen · 192 lines · 0 tokens per session scan A 64a2e7839350
draft-rendered-page is a skill published in the GitHub repository markmhendrickson/ateles (5 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,949 tokens. 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.
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