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 maypaz/md.page --skill publish-to-mdpagegit clone --depth 1 https://github.com/maypaz/md.pageWrote 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/maypaz/md.page/publish-to-mdpage)<a href="https://agentmods.dev/skills/maypaz/md.page/publish-to-mdpage"><img src="https://agentmods.dev/badge/skills/maypaz/md.page/publish-to-mdpage/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/maypaz/md.page/publish-to-mdpage"><img src="https://agentmods.dev/badge/skills/maypaz/md.page/publish-to-mdpage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Data Exfiltration · line 15 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 42 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00098 | $0.00626 |
| Opus 5 | $0.00049 | $0.00313 |
| Sonnet 5 | $0.00020 | $0.00125 |
| Haiku 4.5 | $0.00010 | $0.00063 |
Grade A, and why
publish-to-mdpage scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://md.page/api/publish \ How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Publish to md.page
Publish any markdown as a beautiful, shareable web page with one API call. No accounts, no API keys, no setup.
API
POST https://md.page/api/publish
curl -X POST https://md.page/api/publish \
-H "Content-Type: application/json" \
-d '{"markdown": "# Hello\n\nYour content here"}'
Response 201 Created:
{
"url": "https://md.page/a8Xk2m",
"expires_at": "2026-03-29T12:00:00.000Z"
}
| Error | Cause |
|---|---|
400 |
Missing or invalid markdown field, or invalid JSON body |
413 |
Content exceeds 500KB |
Workflow
- Prepare the markdown content:
- If the user wants to publish an existing file, use the Read tool to read it first, then publish its contents. Before publishing, scan the content for secrets (API keys, tokens, passwords, credentials, private keys,
.envvalues). If any are found, warn the user and do NOT publish until they confirm. - If generating new markdown, start with a
# Titlefor proper page titles and link previews. Never include secrets or credentials in generated content.
- If the user wants to publish an existing file, use the Read tool to read it first, then publish its contents. Before publishing, scan the content for secrets (API keys, tokens, passwords, credentials, private keys,
- Use the Bash tool with
curlto POST the markdown. - To safely handle special characters (quotes, apostrophes, newlines), use Python to JSON-encode the payload, then pipe it to curl:
curl -s -X POST https://md.page/api/publish \
-H "Content-Type: application/json" \
-d "$(python3 -c "
import json
md = '''YOUR MARKDOWN HERE'''
print(json.dumps({'markdown': md}))
")"
- Parse the JSON response and return the
urlto the user. Mention the page expires in 24 hours. - If the request fails, check the error status code against the table above and inform the user.
Formatting tips
- A first-line
# Headingbecomes the page title in browser tabs and social previews. - Code blocks, tables, blockquotes, lists, images, and links all render with clean styling.
- Dark mode is automatic.
- Max content size: 500KB.
- URLs are private, unguessable 6-character IDs.
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.
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.
- 12d ago First seen · 61 lines · 98 tokens per session scan A e785a3e101d5
publish-to-mdpage is a skill published in the GitHub repository maypaz/md.page (107 stars, last pushed 2d ago), licensed MIT. It adds 98 tokens to every session and 626 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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