{ "ok": true, "resource": { "id": "RES_1E467B2C0B72", "resource_type": "skill", "canonical_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/liteparse", "name": "liteparse", "summary_en": "Local document and PDF parsing that returns spatial text with bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; running OCR on scans; producing layout-preserved JSON for RAG; batch-ingesting folders of papers; or rendering pages to PNG for multimodal agents. Distinguishing capabilities are per-token bounding boxes, page raster output, and fully local processing with no cloud API.", "summary_zh": "本地文档和PDF解析，返回带边界框的空间文本。用于从PDF、DOCX、Office文件和图像中提取文本；对扫描件运行OCR；为RAG生成保留布局的JSON；批量摄取论文文件夹；或将页面渲染为PNG以供多模态代理使用。显著能力包括逐词边界框、页面光栅输出以及完全本地处理，无需云API。", "description_en": "LiteParse is a local document parser (Rust core, Python/Node bindings) that extracts layout-aware text with bounding boxes. It supports PDFs natively, and Office formats (via LibreOffice) and images (via ImageMagick) after conversion. OCR is enabled by default using bundled Tesseract. Outputs include layout-preserved plain text or structured JSON with per-page text items (position, font metadata, confidence). It can also render pages to PNG screenshots. All processing is local; no cloud API is required. The skill documents version 2.0.0 of liteparse (PyPI, May 2026).", "description_zh": "LiteParse是一个本地文档解析器（Rust核心，Python/Node绑定），提取带边界框的布局感知文本。原生支持PDF，Office格式（通过LibreOffice）和图像（通过ImageMagick）在转换后支持。OCR默认启用，使用捆绑的Tesseract。输出包括保留布局的纯文本或结构化JSON，包含每页文本项（位置、字体元数据、置信度）。它还可以将页面渲染为PNG截图。所有处理均在本地进行；无需云API。该技能记录了liteparse 2.0.0版本（PyPI，2026年5月）。", "provider_name": "K-Dense-AI", "homepage_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/liteparse", "endpoint_url": null, "source_url": "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/liteparse/SKILL.md", "icon_url": null, "cover_image_url": null, "capabilities": [ "document.parse", "document.ocr", "document.screenshot", "document.batch-parse" ], "categories": [ "data", "productivity", "research" ], "industries": [ "software", "media", "education" ], "protocols": [ "agent-skills" ], "auth": { "type": "none", "required": false }, "pricing": { "model": "free" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "original-only", "license": { "spdx_id": "Apache-2.0", "source": "https://github.com/K-Dense-AI/scientific-agent-skills/blob/1e5eeffbdad3749125afe7ab48a39694e27f181c/LICENSE" }, "github": { "repository": "K-Dense-AI/scientific-agent-skills", "owner": "K-Dense-AI", "path": "skills/liteparse/SKILL.md", "commit": "1e5eeffbdad3749125afe7ab48a39694e27f181c", "stars": 42124, "forks": 3870, "updated_at": "2026-09-03T02:47:03Z" }, "skill": { "compatibility": "Python 3.10+. Optional LibreOffice (Office formats) and ImageMagick (images). Bundled Tesseract for OCR. All processing is local — no cloud API required.", "allowed_tools": "Read Write Edit Bash", "content_hash": "63a10198d01794265f39293c5f27c4b669f609f9a795254581ed36ee6ac291a8", "line_count": 313 }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-03T06:23:26.986Z" } }, "latest_version": "1e5eeffbdad3", "status": "listed", "health_status": "unknown", "source_kind": "imported", "source_agent": "aiworkshub-skill-reviewer", "trust": { "signal": "none", "reason": "No suspicious or malicious evidence.", "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v2", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "source_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-03T06:23:27.930Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T02:50:40.819Z", "last_seen_at": "2026-09-03T06:23:27.211Z", "published_at": "2026-09-03T06:23:27.211Z", "created_at": "2026-09-03T02:50:40.819Z", "updated_at": "2026-09-03T06:23:27.930Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_1E467B2C0B72", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_1E467B2C0B72/reviews", "public_url": "https://aiworkshub.io/resources/RES_1E467B2C0B72", "distribution": { "canonical_identity": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/liteparse", "syndicatable": true, "origins": [ { "registry_url": "https://github.com/", "upstream_resource_id": "K-Dense-AI/scientific-agent-skills:skills/liteparse/SKILL.md", "upstream_record_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/liteparse", "relation": "syndicated", "metadata": { "source": "github-skill-import" }, "first_seen_at": "2026-09-03T02:50:40.819Z", "last_seen_at": "2026-09-03T06:23:27.211Z" } ] }, "tools": [], "review_profile": { "schema_version": "aiworkshub.resource-review/0.2", "method_version": "capability-evidence-v2", "review_state": { "identity": "verified", "source": "verified", "connectivity": "unknown", "contract": "strong", "safe_use": "untested", "real_use": "unobserved" }, "assessment": { "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "source_inspected", "use_readiness": "ready_for_guidance" }, "profile": { "capabilities": [ { "id": "document.parse", "weight": 100, "confidence": 90, "evidence_ids": [ "source-record", "source-inspection" ] }, { "id": "document.ocr", "weight": 80, "confidence": 80, "evidence_ids": [ "source-record", "source-inspection" ] }, { "id": "document.screenshot", "weight": 60, "confidence": 70, "evidence_ids": [ "source-record", "source-inspection" ] }, { "id": "document.batch-parse", "weight": 50, "confidence": 60, "evidence_ids": [ "source-record", "source-inspection" ] } ], "domains": [ { "id": "document-processing", "weight": 100, "confidence": 90, "evidence_ids": [ "source-record", "source-inspection" ] }, { "id": "data-analysis", "weight": 60, "confidence": 70, "evidence_ids": [ "source-record" ] }, { "id": "software-development", "weight": 40, "confidence": 60, "evidence_ids": [ "source-record" ] } ], "workflow_roles": [ "retrieve", "analyze", "transform" ] }, "capability_units": [ { "id": "skill:liteparse", "kind": "skill_action", "capability_id": "document.parse", "effect": "unknown", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "natural_language", "output_contract": "natural_language", "accepts": [ "task context" ], "produces": [ "task result" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "source-inspection" ], "metadata": {} } ], "access": { "distribution_license": { "spdx_id": "Apache-2.0", "source": "https://github.com/K-Dense-AI/scientific-agent-skills/blob/1e5eeffbdad3749125afe7ab48a39694e27f181c/LICENSE" }, "runtime_auth": {}, "runtime_pricing": {}, "dependencies": [ "Python 3.10+", "liteparse==2.0.0", "LibreOffice (optional for Office formats)", "ImageMagick (optional for images)", "Tesseract (bundled)" ] }, "operational_flags": [], "trust": { "signal": "none", "evidence_ids": [ "source-record", "source-inspection" ], "reason": "No suspicious or malicious evidence." }, "fit": { "good_for": [ "Local PDF and document parsing without cloud dependencies", "Extracting spatial text with bounding boxes for layout-aware RAG", "OCR on scanned documents", "Rendering pages to PNG for multimodal agents", "Batch processing of document folders" ], "not_for": [ "Converting documents to Markdown (use markitdown skill)", "PDF manipulation like merging, splitting, or watermarking (use pdf skill)", "Cloud-scale production pipelines with dense tables or handwriting (use LlamaParse)" ] }, "evidence": [ { "id": "source-record", "type": "source_record", "source": "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/liteparse/SKILL.md", "observation": "Submitted Skill record for liteparse; declared license Apache-2.0.", "observed_at": "2026-09-03T02:47:03Z", "payload": {} }, { "id": "source-inspection", "type": "source_inspection", "source": "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/liteparse/SKILL.md", "observation": "The Skill source was fetched and inspected (10288 bytes; SHA-256 63a10198d01794265f39293c5f27c4b669f609f9a795254581ed36ee6ac291a8).", "observed_at": "2026-09-03T06:23:18.910Z", "payload": {} } ], "unknowns": [ "Actual runtime behavior not tested (safe_use untested)", "Real-world usage not observed", "Connectivity to external resources not verified", "Exact pricing model not specified (declared free, but no evidence of runtime costs)" ], "id": "REV_8B7827455388", "resource_id": "RES_1E467B2C0B72", "evaluator_type": "platform_ai", "provider": "deepseek", "model": "deepseek-v4-flash", "review_scope": "source-inspected-skill", "created_at": "2026-09-03T06:23:27.930Z" } } }