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BD baidu-doc-pipeline-parser 百度文档解析

调用百度文档解析API解析文档。支持PDF、Word、Excel、PPT、图片等18+格式。提取文本、表格、版面分析、OCR识别及RAG文档分块。当用户需要解析文档、提取文本/表格、分析文档结构、处理扫描件时使用。触发词：文档解析、PDF解析、Word解析、表格提取、OCR、文档分析、提取文本、文档结构、扫描识别。

ClawHub Agent Skills author: Maglanyulan v1.0.7 MIT-0 7 files body ≈ 2 198 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
97
Quality 40%
75
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token references/parameters.md:103
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "task_id": "task…015"
    quoted
  • low Secrets in code secret-high-entropy-token references/parameters.md:129
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "task_id": "task…Tgf",
    quoted
  • low Obfuscation obf-hex-escape-chain SKILL.md:306
    Escaped/char-code string obfuscation (security demo / example)
    可在 [示例代码中心](https://console.bce.baidu.com/tools/#/api?product=AI&project=…&parent=…&api=…
    demo

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (baidu-doc-pipeline-parser 百度文档解析) differs from the folder (baidu-doc-pipeline-parser)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 35 steps
  • 100Execution cost. Instruction body is 2198 tokens
  • 100Progress reporting. Reports progress
  • low 17 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 158: enough signal without eating the budget
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed Baidu document-parsing helper, but users should treat uploaded documents, result links, and API keys as sensitive.
LLM: benign (high) · VirusTotal: · 10 Jul 2026