Borrowing it
Nothing to install: this file belongs to xberg-io/crawlberg. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xberg-io/crawlberg/main/.agents/skills/cli/SKILL.mdgit clone --depth 1 https://github.com/xberg-io/crawlbergWrote 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/xberg-io/crawlberg/cli)<a href="https://agentmods.dev/skills/xberg-io/crawlberg/cli"><img src="https://agentmods.dev/badge/skills/xberg-io/crawlberg/cli/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/xberg-io/crawlberg/cli"><img src="https://agentmods.dev/badge/skills/xberg-io/crawlberg/cli.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 | $0.00009 | $0.00298 |
| Opus 5.5 | $0.00004 | $0.00119 |
| Sonnet 5.5 | $0.00002 | $0.00060 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
cli 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 24d 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
crawlberg CLI Reference
Use this skill when invoking, documenting, or changing the crawlberg command-line interface.
crawlberg: High-performance web crawler and scrapercrawlberg batch-crawl: Crawl multiple websites concurrentlycrawlberg batch-scrape: Scrape multiple URLs concurrentlycrawlberg citations: Convert markdown links into numbered citationscrawlberg crawl: Crawl a website following linkscrawlberg download: Download a document from a URL and report its metadatacrawlberg interact: Execute browser actions on a single pagecrawlberg map: Discover all URLs on a website via sitemaps and link extractioncrawlberg mcp: Start the MCP server (stdio transport by default).crawlberg scrape: Scrape a single URL and extract metadatacrawlberg serve: Start the REST API server.crawlberg version: Print the crawlberg version as JSON
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 Changed eba1cc4ac63a
- 1mo ago Changed 2e8d79c9f819
- 2mo ago First seen · 27 lines · 9 tokens per session scan A 2ced98838388
cli is a skill published in the GitHub repository xberg-io/crawlberg (193 stars, last pushed today), licensed MIT. It adds 9 tokens to every session and 298 once invoked, about $0.0000 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
tree-sitter-language-pack
Parse and extract code intelligence from 372 programming languages using tree-sitter grammars. Use when writing code that parses source, extracts structure/imports/exports/symbols/docstrings/comments, detects a language, runs syntax diagnostics, or produces syntax-aware chunks for LLMs — in Rust, Python…
tree-sitter-language-pack-extracting-code-structure
Use when the user wants structured code metadata from a source file — functions, classes, imports, exports, symbols, docstrings, comments, or syntax diagnostics. Covers ts-pack process feature flags, the JSON result shape, and the default feature set.
tree-sitter-language-pack-chunking-for-llms
Use when the user wants to split source code into chunks for an LLM context window without breaking syntax mid-construct. Covers ts-pack process --chunk-size, why syntax-aware splits beat fixed-byte splits, picking a size, and the chunk JSON shape.
tree-sitter-language-pack-detecting-languages
Use when the user wants to know which programming language a file or snippet is. Covers implicit detection in ts-pack parse/process, confirming support with ts-pack list/info, and the SDK detection functions for path, extension, and raw content.
tree-sitter-language-pack-managing-parsers
Use when the user needs to manage the tree-sitter parser cache — prefetch parsers for offline or CI runs, list what is downloaded, inspect a language, find the cache directory, or clean it. Covers ts-pack download, list, info, cache-dir, clean, and init.
tree-sitter-language-pack-parsing-source
Use when the user wants a tree-sitter syntax tree for a source file — an s-expression dump or JSON tree. Covers ts-pack parse, language auto-detection vs --language, stdin input, and reading haserrors.