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BC mineru-pdf-extractor

Extract PDF content to Markdown using MinerU API. Supports formulas, tables, OCR. Provides both local file and online URL parsing methods.

modbender/skill-library-mcp Agent Skills author: modbender MIT 12 files · 6 scripts body ≈ 2 259 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Extract PDF content to Markdown using MinerU API.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationPDFWriting and documentstype 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
82/100
safety, quality, tests
Safety 60%
88
Quality 40%
74
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Dangerous commands cmd-persistence docs/Local_File_Parsing_Guide.md:277
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)
    # Attack example: "/etc/cron.d/malicious" could write to system directories
    quoted
  • medium Dangerous commands cmd-persistence docs/Online_URL_Parsing_Guide.md:248
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)
    # Attack example: "/etc/cron.d/malicious" could write to system directories
    quoted
  • low Dangerous commands cmd-persistence docs/MinerU_在线文档解析完整流程.md:247
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (security demo / example; quoted — discussed, not commanded)
    # 攻击示例: "/etc/cron.d/malicious" 可能写入系统目录
    demoquoted
  • low Dangerous commands cmd-persistence docs/MinerU_本地文档解析完整流程.md:279
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (security demo / example; quoted — discussed, not commanded)
    # 攻击示例: "/etc/cron.d/malicious" 可能写入系统目录
    demoquoted

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "env"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 20 steps, 1 vague phrases
  • 100Tools and files. Tools declared in frontmatter
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2259 tokens
  • 100Running it twice. No mutating operations

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
  • -216 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 138: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.