nutrient-openclaw

nutrient-openclaw is a skill for Claude Code, Codex from jdrhyne/agent-skills. It costs 77 tokens per session (2,050 once invoked), scanned A, original, MIT.

A document-processing skill that uses the Nutrient OpenClaw plugin to work with local documents. Supported jobs include conversion, text recognition from images, extraction, redaction, watermarks, signatures, and inspection of the latest credit record.

In plain words
What is it for?
Use it for the listed document-processing tasks in OpenClaw, including checking compatibility, credentials, credit estimates, or plugin contract problems.
Why use it?
It provides a defined route for document operations while treating processing as an external service that uses credits and requires protected credentials.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it for the listed document-processing tasks in OpenClaw, including checking compatibility, credentials, credit estimates, or plugin contract problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jdrhyne/agent-skills/nutrient-openclaw
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add jdrhyne/agent-skills --skill nutrient-openclaw
Clone the repo
git clone --depth 1 https://github.com/jdrhyne/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for nutrient-openclaw

README.md
[![agentmods](https://agentmods.dev/badge/skills/jdrhyne/agent-skills/nutrient-openclaw/github.svg)](https://agentmods.dev/skills/jdrhyne/agent-skills/nutrient-openclaw)
Your own site
<a href="https://agentmods.dev/skills/jdrhyne/agent-skills/nutrient-openclaw"><img src="https://agentmods.dev/badge/skills/jdrhyne/agent-skills/nutrient-openclaw/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for nutrient-openclaw

Your own site · 80×15
<a href="https://agentmods.dev/skills/jdrhyne/agent-skills/nutrient-openclaw"><img src="https://agentmods.dev/badge/skills/jdrhyne/agent-skills/nutrient-openclaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,050 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high System Prompt Leakage · line 99
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00077 $0.02050
Opus 5 $0.00039 $0.01025
Sonnet 5 $0.00015 $0.00410
Haiku 4.5 $0.00008 $0.00205

Measured 10d ago against content hash 134fc779619a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

nutrient-openclaw scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (tests/test_contract.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/nutrient-openclaw/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Nutrient OpenClaw

Use the Nutrient tool plugin only in OpenClaw. Version 0.1.1 is the reviewed contract: Node.js 18 or newer, an optional OpenClaw peer dependency, and exactly the ten tools listed below. The upstream wildcard peer declaration is not a guarantee of compatibility with every future OpenClaw release.

Do not install or update the plugin merely because this skill loaded. If the user explicitly asks to install it, use the pinned package @nutrient-sdk/[email protected], then inspect the installed manifest and tool inventory before processing a document. Read {baseDir}/references/plugin-contract.md when installing, configuring credentials, checking compatibility, estimating credits, or diagnosing contract drift.

Protected credential setup

  • Never ask for, display, copy, log, or summarize a Nutrient API key. Never put one in chat, a command argument, a committed file, or an example.
  • Have the user create the credential through OpenClaw's protected Settings/Secrets interface or an organization secrets manager outside the agent transcript. The target plugin field is plugins.entries.nutrient-openclaw.config.apiKey; select only a SecretRef provider/key identifier in a user-attended configuration flow, and bind it only when the installed runtime and plugin manifest validate that reference. Never write a plaintext value into a configuration example or shell command.
  • Plugin 0.1.1 marks its apiKey field as sensitive in the configuration UI but does not declare manifest secretInputs. Do not claim that this version owns or resolves a SecretRef unless the current OpenClaw configuration validator confirms it. If validation rejects the binding, stop and explain the compatibility blocker; do not silently downgrade to an exposed value.
  • A user-attended configuration UI may store a sensitive plugin value only after the user understands where that OpenClaw release persists it. Never inspect the value. Verify readiness from redacted status and tool availability, not from secret contents.

Read the full file on GitHub · 114 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 114 lines · 77 tokens per session scan A 134fc779619a

Subscribe to this mod's changes

nutrient-openclaw is a skill published in the GitHub repository jdrhyne/agent-skills (241 stars, last pushed 11d ago), licensed MIT. It adds 77 tokens to every session and 2,050 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

openakita/skills@pdf

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and…

openakita/openakita · 97 tokens

nano-pdf

Extract, analyze, and summarize PDF documents using available tools.

aaronnat23/disp8ch · 0 tokens

ocr-and-documents

Turn screenshots, scans, and messy files into structured working context.

aaronnat23/disp8ch · 0 tokens

convert-documents-to-markdown

Convert Word (.doc, .docx), PowerPoint (.ppt, .pptx), Excel (.xls, .xlsx), OpenDocument (.odt, .ods, .odp), RTF, EPUB, CSV, and PDF files to GitHub-Flavored Markdown. Use when a task needs the contents of an office document, spreadsheet, presentation, ebook, or PDF that the active provider cannot read directly.

me-cedric/agent-compass · 89 tokens

word-cloud

Generate beautiful word clouds — static or animated — from any input source. Handles text extraction from PDF, DOCX, XLSX, PPTX, HTML, CSV, TXT and produces production-ready components. Includes light/dark theming, sentiment/POS color coding, shape masking, and multiple animation modes.

saajunaid/caddis-plugin · 64 tokens

pdf

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

saajunaid/caddis-plugin · 50 tokens