Kode is a command-line coding agent that helps people work with software projects through AI models and providers. Developers use it for coding tasks, project instructions, and delegating work to subagents across supported environments. The catalogue entries provide Kode-specific skills, agents, and instruction files.
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.
npx skills add shareAI-lab/Kode-CLI --skill skill-judgegit clone --depth 1 https://github.com/shareAI-lab/Kode-CLIWrote 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.
[](https://agentmods.dev/skills/shareai-lab/kode-cli/skill-judge)<a href="https://agentmods.dev/skills/shareai-lab/kode-cli/skill-judge"><img src="https://agentmods.dev/badge/skills/shareai-lab/kode-cli/skill-judge/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.
<a href="https://agentmods.dev/skills/shareai-lab/kode-cli/skill-judge"><img src="https://agentmods.dev/badge/skills/shareai-lab/kode-cli/skill-judge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 Rogue Agent · line 27 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.06591 |
| Opus 5.5 | $0.00016 | $0.02636 |
| Sonnet 5.5 | $0.00008 | $0.01318 |
| Haiku 4.5 | $0.00004 | $0.00659 |
Grade A, and why
skill-judge 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 753 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Judge
Evaluate Agent Skills against official specifications and patterns derived from 17+ official examples.
Core Philosophy
What is a Skill?
A Skill is NOT a tutorial. A Skill is a knowledge externalization mechanism.
Traditional AI knowledge is locked in model parameters. To teach new capabilities:
Traditional: Collect data → GPU cluster → Train → Deploy new version
Cost: $10,000 - $1,000,000+
Timeline: Weeks to months
Skills change this:
Skill: Edit SKILL.md → Save → Takes effect on next invocation
Cost: $0
Timeline: Instant
This is the paradigm shift from "training AI" to "educating AI" — like a hot-swappable LoRA adapter that requires no training. You edit a Markdown file in natural language, and the model's behavior changes.
The Core Formula
Good Skill = Expert-only Knowledge − What the Base Model Already Knows
A Skill's value is measured by its knowledge delta — the gap between what it provides and what the model already knows.
- Expert-only knowledge: Decision trees, trade-offs, edge cases, anti-patterns, domain-specific thinking frameworks — things that take years of experience to accumulate
- What the base model already knows: Basic concepts, standard library usage, common programming patterns, general best practices
When a Skill explains "what is PDF" or "how to write a for-loop", it's compressing knowledge the base model already has. This is token waste — context window is a public resource shared with system prompts, conversation history, other Skills, and user requests.
Tool vs Skill
| Concept | Essence | Function | Example |
|---|---|---|---|
| Tool | What model CAN do | Execute actions | bash, read_file, write_file, WebSearch |
| Skill | What model KNOWS how to do | Guide decisions | PDF processing, MCP building, frontend design |
Tools define capability boundaries — without bash tool, model can't execute commands. Skills inject knowledge — without frontend-design Skill, model produces generic UI.
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.
- 1mo ago First seen · 753 lines · 41 tokens per session scan A b7ac8f109e98
skill-judge is a skill published in the GitHub repository shareAI-lab/Kode-CLI (5,236 stars, last pushed 9d ago), licensed Apache-2.0. It adds 41 tokens to every session and 6,591 once invoked, about $0.0002 per session on Opus 5.5. 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.
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