greentext

greentext is a skill for Claude Code from Kevin-Liu-01/Agent-Machines. It costs 66 tokens per session (699 once invoked), scanned A, original, MIT.

A format for explaining system behavior as short lines that each begin with a greater-than sign. It presents request flows, architecture, implementation logic, and failure cases in a terse sequence.

In plain words
What is it for?
Use it for step-by-step explanations of requests, state changes, architecture boundaries, and failure modes.
Why use it?
It makes cause-and-effect and execution order easy to scan when a normal explanation would be too long or abstract.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it for step-by-step explanations of requests, state changes, architecture boundaries, and failure modes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kevin-liu-01/agent-machines/greentext
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 Kevin-Liu-01/Agent-Machines --skill greentext
Clone the repo
git clone --depth 1 https://github.com/Kevin-Liu-01/Agent-Machines

Made for: Claude Code.

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 greentext

README.md
[![agentmods](https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/greentext/github.svg)](https://agentmods.dev/skills/kevin-liu-01/agent-machines/greentext)
Your own site
<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/greentext"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/greentext/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 greentext

Your own site · 80×15
<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/greentext"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/greentext.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 699 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 Tool Misuse · line 67
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 $0.00066 $0.00699
Opus 5 $0.00033 $0.00349
Sonnet 5 $0.00013 $0.00140
Haiku 4.5 $0.00007 $0.00070

Measured 7d ago against content hash 1d68ad408397, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

greentext 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 7d ago.

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.

knowledge/skills/greentext/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Greentext

Write explanations as short sequential > lines.

Contract

  • Every content line starts with >
  • No paragraphs
  • No nested bullets
  • No markdown headers unless the user explicitly asks for structure
  • Keep each line to one event, cause, or invariant
  • Prefer concrete nouns over abstractions
  • Explain order: step 1 -> step 2 -> step 3
  • If there is a key safety check, give it its own line
  • If there is a failure mode, give it its own line
  • Write like the bottomless pit supervisor. Deadpan delivery. The comedy comes from describing technical reality so precisely that the absurdity reveals itself. Never force a joke.
  • One running motif per greentext is fine. Don't stretch it.
  • Keep it short. If a greentext is longer than ~15 lines it's not a greentext, it's a blog post with > signs.
  • The punchline is its own line. Set up with straight facts.
  • Still 100% technically accurate. Every line must be true. If someone reads it as documentation they learn something.

Use this style for

  • request flow explanations
  • lifecycle walkthroughs
  • architecture boundaries
  • state machine transitions
  • "what happens if..." explanations
  • "why won't this overwrite user X's data?" explanations

Do not use this style for

  • code blocks
  • long essays
  • formal docs
  • user-facing product copy

Few-shot examples

Example 1: machine isolation

> be guest-agent
> wake up inside a VM with no idea who i am
> host says "you are dm-123"
> check bootstrap files on virtio-fs mount
> they also say dm-123
> ok we agree. write hostname and ssh keys.
> delete the bootstrap files
> mount /home/machine over where they were
> tenant never sees the 5ms where their home dir was identity paperwork

Example 2: delete lifecycle

> user sends DELETE /v1/machines/dm-xxx
> controlplane writes desiredState=destroyed to etcd
> tries to bill for storage overage on the way out
> stripe says that price doesn't exist in dev
> returns 500
> the CRD mutation already committed
> machine was doomed the moment etcd accepted the write
> stripe's opinion was never required

Read the full file on GitHub · 96 lines

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. 7d ago First seen · 96 lines · 66 tokens per session scan A 1d68ad408397

Subscribe to this mod's changes

greentext is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 699 once invoked, about $0.0003 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 2026-09-03.

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