markit is a command-line tool and library that converts documents, web content, media metadata, archives, code, and other inputs into Markdown. It is for developers and agents that need consistent Markdown representations of files or URLs. Catalogue add-ons help coding agents use markit.
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 shift-labs-ai/markit --skill markitgit clone --depth 1 https://github.com/shift-labs-ai/markitWrote 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/shift-labs-ai/markit/markit)<a href="https://agentmods.dev/skills/shift-labs-ai/markit/markit"><img src="https://agentmods.dev/badge/skills/shift-labs-ai/markit/markit/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/shift-labs-ai/markit/markit"><img src="https://agentmods.dev/badge/skills/shift-labs-ai/markit/markit.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 | $0.00055 | $0.00347 |
| Opus 5.5 | $0.00022 | $0.00139 |
| Sonnet 5.5 | $0.00011 | $0.00069 |
| Haiku 4.5 | $0.00006 | $0.00035 |
Grade A, and why
markit 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.
What it actually says
markit
Convert anything to Markdown.
CLI
# Convert a file
npx @shiftlabs/markit report.pdf -q
# Convert a URL
npx @shiftlabs/markit https://en.wikipedia.org/wiki/Markdown -q
# GitHub URLs (repos, files, gists, issues, PRs)
npx @shiftlabs/markit https://github.com/owner/repo -q
npx @shiftlabs/markit https://github.com/owner/repo/issues/42 -q
npx @shiftlabs/markit https://gist.github.com/user/id -q
# Write to file
npx @shiftlabs/markit document.docx -q -o output.md
# See all options
npx @shiftlabs/markit --help
# See supported formats
npx @shiftlabs/markit formats
-q gives raw markdown. --json gives { markdown, title }.
SDK
import { Markit } from "@shiftlabs/markit";
const markit = new Markit();
const { markdown } = await markit.convertFile("report.pdf");
const { markdown } = await markit.convertUrl("https://example.com");
const { markdown } = await markit.convert(buffer, { extension: ".docx" });
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 · 46 lines · 55 tokens per session scan A 45a892c5b5fb
markit is a skill published in the GitHub repository shift-labs-ai/markit (1,326 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 347 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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