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CF pdf-ocr-tool

Intelligent PDF and image to Markdown converter using Ollama GLM-OCR with smart content detection (text/table/figure)

modbender/skill-library-mcp Agent Skills author: modbender MIT 23 files · 2 scripts body ≈ 1 894 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Intelligent PDF and image to Markdown converter using Ollama GLM-OCR with smart content detection (text/table/figure)

As a process F 56/100 · Will not run — References files that are not bundled: images/page_1_region_3.png

GeneratorAI and agentstype 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
C
73/100
safety, quality, tests
Safety 60%
78
Quality 40%
66
Run on models
none yet
Process rating
F
56/100
Will not run
References files that are not bundled: images/page_1_region_3.png
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
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.
  2. The text references files that are not there: add them or drop the references.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Dangerous commands cmd-pipe-to-shell README.md:29
    Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
    curl -fsSL https://ollama.com/install.sh | sh
    vendor-host
  • medium Dangerous commands cmd-pipe-to-shell-known-host README.md:37
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -LsSf https://astral.sh/uv/install.sh | sh
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:27
    Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
    curl -fsSL https://ollama.com/install.sh | sh
    vendor-host
  • medium Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:35
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -LsSf https://astral.sh/uv/install.sh | sh
  • low Dangerous commands cmd-pipe-to-shell-known-host hooks/install-deps.sh:40
    Pipe-to-shell installer from a well-known host (still executes remote code) (string literal in code, not executed)
    echo "   curl -LsSf https://astral.sh/uv/install.sh | sh"
    code literal
  • low Dangerous commands cmd-pipe-to-shell hooks/post-install.sh:13
    Downloads and executes remote code from an unrecognised host (pipe to shell) (string literal in code, not executed; the skill's own vendor host)
    echo "   curl -fsSL https://ollama.com/install.sh | sh"
    code literalvendor-host

Files scanned: 18. 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")
  • warning missing-ref reference to a missing file: images/page_1_region_3.png

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: images/page_1_region_3.png
  • 0Tools and files. 1 referenced file(s) missing: images/page_1_region_3.png
  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1894 tokens
  • 100Running it twice. No mutating operations
  • low 12 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)
  • +3Description length 117: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly
  • +4Has examples (17 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.