Agent Stuff is a personal package of reusable skills, extensions, prompt commands, themes, and utilities for the Pi Coding Agent. Its author uses these tools across projects, and the catalogue entries are components from this package that support that workflow.
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 mitsuhiko/agent-stuff --skill summarizegit clone --depth 1 https://github.com/mitsuhiko/agent-stuffWrote 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/mitsuhiko/agent-stuff/summarize)<a href="https://agentmods.dev/skills/mitsuhiko/agent-stuff/summarize"><img src="https://agentmods.dev/badge/skills/mitsuhiko/agent-stuff/summarize/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/mitsuhiko/agent-stuff/summarize"><img src="https://agentmods.dev/badge/skills/mitsuhiko/agent-stuff/summarize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Excessive Agency · line 59 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- medium MCP Rug Pull · line 3 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
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 | $0.00035 | $0.00549 |
| Opus 5.5 | $0.00014 | $0.00220 |
| Sonnet 5.5 | $0.00007 | $0.00110 |
| Haiku 4.5 | $0.00003 | $0.00055 |
Grade A, and why
summarize 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
Turn “things” (URLs, PDFs, Word docs, PowerPoints, HTML pages, text files, etc.) into Markdown so they can be inspected/quoted/processed like normal text.
markitdown can fetch URLs by itself; this skill mainly wraps it to make saving + summarizing convenient.
For PDF inputs, use the markitdown[pdf] extra (or the wrapper below, which now does this automatically).
When to use
Use this skill when you need to:
- pull down a web page as a document-like Markdown representation
- convert binary docs (PDF/DOCX/PPTX) into Markdown for analysis
- quickly produce a short summary of a long document before deeper work
Quick usage
Convert a URL or file to Markdown
Run from this skill folder (the agent should cd here first):
uvx --from 'markitdown[pdf]' markitdown <url-or-path>
To write Markdown to a temp file (prints the path) use the wrapper:
node to-markdown.mjs <url-or-path> --tmp
Tip: when summarizing, the script will always write the full converted Markdown to a temp .md file and will always print a final "Hint" line with the path (so you can open/inspect the full content).
Write Markdown to a specific file:
uvx --from 'markitdown[pdf]' markitdown <url-or-path> > /tmp/doc.md
Convert + summarize with haiku-4-5 (pass context!)
Summaries are only useful when you provide what you want extracted and the audience/purpose.
node to-markdown.mjs <url-or-path> --summary --prompt "Summarize focusing on X, for audience Y. Extract Z."
Or:
node to-markdown.mjs <url-or-path> --summary --prompt "Focus on security implications and action items."
This will:
- convert to Markdown via
uvx --from 'markitdown[pdf]' markitdown - write the full Markdown to a temp
.mdfile and print its path as a "Hint" line - run
pi --model claude-haiku-4-5(no-tools, no-session) to summarize using your extra prompt
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.
- 1mo ago First seen · 60 lines · 35 tokens per session scan A 3100cd6a8b45
summarize is a skill published in the GitHub repository mitsuhiko/agent-stuff (3,192 stars, last pushed 21d ago), licensed Apache-2.0. It adds 35 tokens to every session and 549 once invoked, about $0.0001 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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baoyu-youtube-transcript
A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
read
Fetches URLs and PDFs, then summarizes or returns clean Markdown; can also search the web through DeepSeek when built-in search is thin. Use when asked to read, fetch, quote, cite, convert, or save a URL or PDF. Not for local text files already in the repo.