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 jamon8888/hacienda-private --skill format-specific-extractiongit clone --depth 1 https://github.com/jamon8888/hacienda-privateWrote 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/jamon8888/hacienda-private/format-specific-extraction)<a href="https://agentmods.dev/skills/jamon8888/hacienda-private/format-specific-extraction"><img src="https://agentmods.dev/badge/skills/jamon8888/hacienda-private/format-specific-extraction/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/jamon8888/hacienda-private/format-specific-extraction"><img src="https://agentmods.dev/badge/skills/jamon8888/hacienda-private/format-specific-extraction.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 | $0.00010 | $0.00659 |
| Opus 5 | $0.00005 | $0.00329 |
| Sonnet 5 | $0.00002 | $0.00132 |
| Haiku 4.5 | $0.00001 | $0.00066 |
Grade A, and why
format-specific-extraction 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 9d 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.
This is a copy
95% identical to format-specific-extraction — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Format-Specific Extraction Workflows
Office XML (DOCX/PPTX/ODT)
ZIP archive → Security validation → XML parsing → Text + tables + metadata
ZipBombValidator::new(limits).validate(&mut archive)?- Extract XML files from archive (
word/document.xml,ppt/slides/*.xml,content.xml) - Parse with
quick-xml::Reader(streaming) +DepthValidator+StringGrowthValidator - Extract metadata via
crate::extraction::office_metadata::extract_metadata() - See:
extractors/docx.rs,extractors/pptx.rs,extractors/odt.rs
Bytes → pdf_oxide → Per-page text + OCR fallback → Tables → Metadata
pdf_oxide::PdfDocument::from_bytes(content)?- Check if needs OCR:
config.force_ocr || !has_searchable_text() - Extract text per page, tables if
config.pagesenabled - Feature-gated:
#[cfg(feature = "pdf")] - See:
extractors/pdf/mod.rs
Archives (ZIP/TAR/7z/GZIP)
Validate → Extract metadata → Extract plaintext files only
ZipBombValidatorBEFORE any extraction- Extract metadata (file list, sizes)
- Extract text content from plaintext files
- Use
build_archive_result()helper - See:
extractors/archive.rs,extraction/archive/*.rs
Structured Text (JSON/YAML/TOML/XML)
Detect format from MIME → Parse → Pretty-print → Metadata
Single StructuredExtractor handles multiple MIME types. Parse with format-specific library, pretty-print to text.
See: extractors/structured.rs
Email (EML/MSG)
Parse headers → Extract body (text/html) → Process attachments
See: extraction/email.rs, extractors/email.rs
Common Helpers
| Helper | Location | Purpose |
|---|---|---|
office_metadata::extract_metadata() |
extraction/office.rs |
Office XML metadata |
cells_to_markdown() |
extraction/mod.rs |
Convert cell grid to GFM table |
build_archive_result() |
extraction/archive/mod.rs |
Standard archive result |
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.
- 9d ago First seen · 79 lines · 10 tokens per session scan A f356393c5733
format-specific-extraction is a skill published in the GitHub repository jamon8888/hacienda-private (0 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 659 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to format-specific-extraction, differing in 19 lines, and is treated as a copy.
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