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BF nutrient-document-processing

Universal (non-OpenClaw) Nutrient document processing skill for Agent Skills-compatible products. Best for Claude Code, Codex CLI, Gemini CLI, Cursor, Windsurf, OpenCode, and Copilot environments that do not expose OpenClaw `nutrient_*` tools. Supports PDF conversion, OCR, text/table extraction, PII redaction, watermarking, digital signatures, form fill, merge/split/reorder pages, and API usage checks. Prefers MCP server mode, with direct API/curl fallback. Activates on keywords: PDF, document, convert, extract, OCR, redact, watermark, sign, merge, split, compress, form fill, document processing, MCP.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 2 632 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Universal (non-OpenClaw) Nutrient document processing skill for Agent Skills-compatible products.

As a process F 36/100 · Will not run — References files that are not bundled: references/REFERENCE.md

IntegrationWordExcelAI 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
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: references/REFERENCE.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  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 · 0

✓ No critical or high findings

Files scanned: 1. 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: references/REFERENCE.md
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "repository"

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: references/REFERENCE.md
  • 0Tools and files. 1 referenced file(s) missing: references/REFERENCE.md
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (nutrient-document-processing) differs from the folder (nutrient-document-processing-universal)
  • 85Steps. 14 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 2632 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 608: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (22 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.