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BC minimax-pdf

Professional PDF solution. Create PDFs using HTML+Paged.js (academic papers, reports, documents). Process existing PDFs using Python (read, extract, merge, split, fill forms). Supports KaTeX math formulas, Mermaid diagrams, three-line tables, citations, and other academic elements. Also use this skill when user explicitly requests LaTeX (.tex) or native LaTeX compilation.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: luaqnyin v1.0.0 MIT-0 24 files · 2 scripts body ≈ 2 701 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureLaTeXResearchSoftware developmenttype 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
77/100
safety, quality, tests
Safety 60%
75
Quality 40%
79
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
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. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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

  • high Dangerous commands cmd-pipe-to-shell handlers/latex.md:19
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    cd ~ && curl -fsSL https://drop-sh.fullyjustified.net | sh && ls -la tectonic
Medium and low: 3
  • medium Dangerous commands cmd-pipe-to-shell scripts/setup.sh:452
    Downloads and executes remote code from an unrecognised host (pipe to shell) (string literal in code, not executed)
    echo "  Tectonic:    curl -fsSL https://drop-sh.fullyjustified.net | sh"
    code literal
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:27
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…ZPC+taih…dxR/LKBa…Qnt+ViGvEIQ==",
    detector
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:37
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…uWm+fFRcIOgKBMiOBP+eXiy…9ab+DDKA==",
    detector

Files scanned: 24. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

✓ No remarks against the Agent Skills spec

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (minimax-pdf) differs from the folder (minimax-pdf-pro)
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
  • 70Failures and branches. 6 branches
  • 100Steps. 80 steps
  • 100Execution cost. Instruction body is 2701 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (14 tags): a typed call is more reliable

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
  • -220 emoji in the instructions: noise for the model
  • -311 of 13 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 374: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 80 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
The skill’s PDF purpose is coherent, but it gives agents broad install and browser-rendering authority that users should review before use.
LLM: suspicious (high) · VirusTotal: · 28 May 2026