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 boykush/scraps --skill ingestgit clone --depth 1 https://github.com/boykush/scrapsWrote 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/boykush/scraps/ingest)<a href="https://agentmods.dev/skills/boykush/scraps/ingest"><img src="https://agentmods.dev/badge/skills/boykush/scraps/ingest/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/boykush/scraps/ingest"><img src="https://agentmods.dev/badge/skills/boykush/scraps/ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.02058 |
| Opus 5.5 | $0.00025 | $0.00823 |
| Sonnet 5.5 | $0.00012 | $0.00412 |
| Haiku 4.5 | $0.00006 | $0.00206 |
Grade A, and why
ingest 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 yesterday.
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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ingest
Add a new scrap to the wiki and integrate it into the existing graph.
Implements Karpathy's Ingest primitive for Scraps: read a source, draft a new scrap, update related scraps with cross-links, and sanity-check the result. A single ingest typically touches the new scrap plus 1–5 existing scraps.
When to use
- "Write a scrap about X" / "Add a scrap on Y" (prompt source)
- "Summarize this article" / a pasted URL (web source)
- "Save this answer as a scrap" / file-back from a query (markdown source)
Source types
| Source | Provided as | First step |
|---|---|---|
| prompt | user's topic, instruction, or ready-to-use content (e.g., a /query synthesis) |
if the input is complete content, use as-is; otherwise gather context (search related scraps) and ask one clarifying question only when scope is unclear |
| URL | pasted link | WebFetch <url>, extract title and key content |
| term | an atomic term surfaced in discussion (often unknown until just now) | treat the term itself as the title; skip clarifying questions |
Workflow
-
Identify source and topic
- URL:
WebFetch→ use OGP / heading title as initial title - prompt: if the input is complete content (e.g., a
/querysynthesis), use as-is; if it's a topic, ask one clarifying question only when scope is unclear - term: the term is the title; do not ask clarifying questions (the discussion already established scope). Proceed to step 2 with the term as the search keyword.
- URL:
-
Research existing wiki state
scraps search "<keyword>" --jsonto find related scrapsscraps tag list --jsonto find relevant tags- Read 3–8 of the most related scraps by passing each hit's
keyback:scraps get "<key>" --json - Use
scraps get "<key>" --json headingsfirst when only the outline is needed
-
Decide title and ctx
- Pick a clear, atomic title
- If the title collides with an existing scrap, add a context folder:
scraps/<ctx>/<title>.md - ctx depth ≤ 3
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.
- yesterday Changed 8c1a22a6715f
- 6d ago Changed face106cc772
- 1mo ago First seen · 103 lines · 62 tokens per session scan A 05a8124b6c20
ingest is a skill published in the GitHub repository boykush/scraps (45 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 2,058 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.
Other skills, from other repositories
llmwiki
Build and use a persistent, citation-traceable knowledge wiki from documents, research papers, notes, or project documentation. Use for llmwiki projects, retrieving reusable evidence for an agent task, or compiling a corpus for repeated questions. A one-off file read or live web search does not need a wiki.
v4-best-practices
Use when working with deepseek-v4-pro or deepseek-v4-flash in thinking mode on multi-step or plan-driven tasks. Provides rules to prevent stale references, unverified plan assumptions, and vague plan output.
processing-markdown
Processes Markdown files using mq, a jq-like query language for Markdown. Use when the user mentions Markdown processing, content extraction, document transformation, or mq queries.
web-scraping
Fetches web pages and extracts structured data using mq's toolchain (mq-crawl for fetching/crawling/JS rendering, mq for HTML-to-Markdown selector-based extraction, http() for in-query requests). Use when the user wants to scrape a URL, pull structured data out of a webpage, crawl a site, or turn HTML into…
qdrant
Manage Qdrant vector database via REST API. Use when the user asks to create or delete collections, upsert or search vectors, inspect points, filter by payload fields, manage snapshots, check cluster status, or debug semantic search issues. Covers collection CRUD, point upsert/search/scroll/count, payload indexes…
mdvs
Use mdvs search for any content lookup in a markdown directory — semantic / hybrid / SQL-filtered, beats Grep / Glob for finding by meaning. mdvs init infers a schema from existing markdown, mdvs check validates frontmatter, mdvs update evolves the schema as the KB grows. Activate whenever the project contains…