← Back to Skills Marketplace
bytesagain1

Biomass

by bytesagain1 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
146
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install biomass
Description
Biomass energy reference — feedstock properties, combustion, gasification, pyrolysis, and pelletization. Use when evaluating biomass resources, designing con...
README (SKILL.md)

Biomass — Biomass Energy Reference

Quick-reference skill for biomass energy conversion, feedstock properties, and thermochemical processes.

When to Use

  • Evaluating biomass feedstocks for energy production
  • Comparing combustion, gasification, and pyrolysis pathways
  • Calculating heating values and moisture impact
  • Designing biomass boilers or gasifier systems
  • Understanding pelletization and densification

Commands

intro

scripts/script.sh intro

Overview of biomass energy — types, conversion pathways, and global context.

feedstocks

scripts/script.sh feedstocks

Biomass feedstock properties: heating values, moisture, ash content, and composition.

combustion

scripts/script.sh combustion

Biomass combustion principles — grate, fluidized bed, stoker, and efficiency factors.

gasification

scripts/script.sh gasification

Gasification technology — updraft, downdraft, fluidized bed, syngas composition.

pyrolysis

scripts/script.sh pyrolysis

Pyrolysis processes — slow, fast, flash — and product distributions (biochar, bio-oil, syngas).

pellets

scripts/script.sh pellets

Pelletization — feedstock preparation, press types, quality standards (ENplus).

emissions

scripts/script.sh emissions

Biomass emission profiles — particulates, NOx, CO, and mitigation strategies.

sizing

scripts/script.sh sizing

Plant sizing calculations — fuel consumption, storage, boiler capacity rules of thumb.

help

scripts/script.sh help

version

scripts/script.sh version

Powered by BytesAgain | bytesagain.com | [email protected]

Usage Guidance
This skill appears to be a static biomass reference implemented as a bundled Bash script that prints documentation and formulas. That is coherent with its description and there are no credentials, network calls, or installs declared. As a general precaution, inspect the full scripts/script.sh file yourself before enabling the skill (the provided listing was truncated but the manifest shows a single script). Running bundled shell scripts executes code on your agent host—if you are concerned, run it in a sandboxed environment or review the script for any unexpected commands (networking, file writes, or use of sudo) before use.
Capability Analysis
Type: OpenClaw Skill Name: biomass Version: 1.0.0 The 'biomass' skill is a purely informational reference tool providing data on biomass energy conversion, feedstocks, and thermochemical processes. The implementation in 'scripts/script.sh' consists entirely of static text blocks delivered via shell heredocs, with no network requests, file system modifications, or access to sensitive environment variables.
Capability Assessment
✓ Purpose & Capability
Name/description (biomass reference) align with included assets: SKILL.md documents commands that invoke scripts/script.sh which emits biomass reference material. No unrelated env vars, binaries, or config paths are required.
✓ Instruction Scope
SKILL.md instructs the agent to run scripts/script.sh with simple subcommands (intro, feedstocks, combustion, etc.). The instructions are scoped to producing reference output and do not direct the agent to read arbitrary host files, access credentials, or transmit data to external endpoints.
✓ Install Mechanism
No install spec is present (instruction-only). The only executable is the included scripts/script.sh which is plain bash and emits static content via here-docs. Nothing is downloaded or extracted at install time.
✓ Credentials
The skill declares no required environment variables or credentials. The bundled script does not read environment variables or require secrets, so requested access is proportionate to its purpose.
✓ Persistence & Privilege
always is false and model invocation is allowed (default). The skill does not request persistent system changes or modify other skills/config; it simply executes a local script when invoked.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install biomass
  3. After installation, invoke the skill by name or use /biomass
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
publish v1.0.0
Metadata
Slug biomass
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Biomass?

Biomass energy reference — feedstock properties, combustion, gasification, pyrolysis, and pelletization. Use when evaluating biomass resources, designing con... It is an AI Agent Skill for Claude Code / OpenClaw, with 146 downloads so far.

How do I install Biomass?

Run "/install biomass" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Biomass free?

Yes, Biomass is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Biomass support?

Biomass is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Biomass?

It is built and maintained by bytesagain1 (@bytesagain1); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments