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 xberg-io/crawlberg --skill e2e-fixturesgit 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/e2e-fixtures)<a href="https://agentmods.dev/skills/xberg-io/crawlberg/e2e-fixtures"><img src="https://agentmods.dev/badge/skills/xberg-io/crawlberg/e2e-fixtures/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/e2e-fixtures"><img src="https://agentmods.dev/badge/skills/xberg-io/crawlberg/e2e-fixtures.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 | $0.00046 | $0.00392 |
| Opus 5.5 | $0.00018 | $0.00157 |
| Sonnet 5.5 | $0.00009 | $0.00078 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
e2e-fixtures 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.
What it actually says
Crawlberg E2E Fixtures
- Schema:
fixtures/schema.json(requiredid,description,assertions). One fixture object per file,fixtures/<topic>/<id>.json; the directory is the topic and usually matchesdocs.topic(rate_limit/fixtures use topicrate-limit).categoryis almost never set (onlycontent/usescategory: "crawl"). - Fields:
docs {topic, stem, title},tags,input,assertions, and optionallyskip {languages, reason},mock_response,call,preserve_input_urls,test_timeout_ms. input.mock_responses[]serves the pages (status_code,headers,body_inline);input.configis aCrawlConfig(for exampleauth,respect_robots_txt).calldefaults toscrape; other calls:batch_scrape,crawl,map_urls,interact,batch_crawl,crawl_stream,batch_crawl_stream.- Assertion types in use:
equals,error,contains,not_contains,contains_all,not_empty,is_empty,is_true,greater_than,greater_than_or_equal,less_than,less_than_or_equal.
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.
- yesterday First seen · 22 lines · 46 tokens per session scan A dba15b035bb5
e2e-fixtures is a skill published in the GitHub repository xberg-io/crawlberg (192 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 392 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 2026-10-28.
Other skills, from other repositories
e2e-fixtures
tree-sitter-language-pack e2e fixture schema: fixture categories, sourcecode and language input, process and detection calls, skip and assertion types. Use when adding or editing a tree-sitter-language-pack e2e fixture.
aspire-integration-testing
Write integration tests using .NET Aspire's testing facilities with xUnit. Covers test fixtures, distributed application setup, endpoint discovery, and patterns for testing ASP.NET Core apps with real dependencies.
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.