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 ngocsangyem/MeowKit --skill web-to-markdowngit clone --depth 1 https://github.com/ngocsangyem/MeowKitWrote 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/ngocsangyem/meowkit/web-to-markdown)<a href="https://agentmods.dev/skills/ngocsangyem/meowkit/web-to-markdown"><img src="https://agentmods.dev/badge/skills/ngocsangyem/meowkit/web-to-markdown/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/ngocsangyem/meowkit/web-to-markdown"><img src="https://agentmods.dev/badge/skills/ngocsangyem/meowkit/web-to-markdown.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 | $0.00062 | $0.01569 |
| Opus 5 | $0.00031 | $0.00785 |
| Sonnet 5 | $0.00012 | $0.00314 |
| Haiku 4.5 | $0.00006 | $0.00157 |
Grade A, and why
mk:web-to-markdown 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 9d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mk:web-to-markdown
Fetch arbitrary URLs and return clean markdown with injection defense.
When to use
- User provides a URL in chat:
"summarize https://example.com/blog"→ skill fires automatically - Agent needs an arbitrary external page that is NOT in curated docs (use
mk:docs-finderfor libraries/frameworks) - External references during research, intake, investigation, or planning — with the
--wtm-accept-riskdelegation gate
When NOT to use
- Library or framework documentation → use
mk:docs-finder(Context7, Context Hub, WebSearch) - Interactive browser testing → use
mk:agent-browser - Playwright test automation → use
mk:playwright-cli - Fetching sensitive/internal URLs → use the host runtime's built-in
WebFetchtool (proxied by the runtime vendor)
Invocation patterns
1. Direct user invocation (no flag)
User: "fetch https://docs.example.com/api and explain the auth flow"
Agent: [invokes mk:web-to-markdown directly]
2. Cross-skill delegation (requires --wtm-accept-risk)
What ships with it
15 files 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.
- references/gotchas.md 6.9 KB
- references/security.md 24 KB
- scripts/fetch_as_markdown.py 17 KB runs code
- scripts/html_to_markdown.py 7.4 KB runs code
- scripts/http_fetch.py 9.1 KB runs code
- scripts/injection_detect.py 9.7 KB runs code
- scripts/injection_patterns.py 10.0 KB runs code
- scripts/persist_fetch.py 13 KB runs code
- scripts/rate_limit.py 2.0 KB runs code
- scripts/requirements.txt 873 B
- scripts/robots_cache.py 8.1 KB runs code
- scripts/secret_scrub.py 3.5 KB runs code
- tests/test_e2e_offline.py 6.5 KB runs code
- tests/test_safe_url.py 3.6 KB runs code
- tests/test_smoke_real_urls.py 3.8 KB runs code
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.
- 9d ago First seen · 137 lines · 62 tokens per session scan E bd7128005018
mk:web-to-markdown is a skill published in the GitHub repository ngocsangyem/MeowKit (14 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 1,569 once invoked, about $0.0003 per session on Opus 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 2026-09-03.
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