example-skill

A starter template showing how to structure a coding-agent skill.

In plain words
What is it for?
Use it as a starting point when creating a new skill or learning the expected workspace layout.
Why use it?
It does not provide a ready-to-use capability; its content must be replaced before relying on it.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/agentscope-ai/agentscope-java/example-skill
Any agent
npx skills add agentscope-ai/agentscope-java --skill example-skill
Clone the repo
git clone --depth 1 https://github.com/agentscope-ai/agentscope-java

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 162 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00031 $0.00162
Opus 5 $0.00015 $0.00081
Sonnet 5 $0.00006 $0.00032
Haiku 4.5 $0.00003 $0.00016

Measured 2d ago against content hash e1dc187b2f9f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

example-skill 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 2d 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.

agentscope-examples/agents/agentscope-paw/src/main/resources/scaffold/default/skills/example-skill/SKILL.md · 24 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 24 lines · 31 tokens per session scan A e1dc187b2f9f

Subscribe to this mod's changes

example-skill is a skill published in the GitHub repository agentscope-ai/agentscope-java (5,352 stars, last pushed 2d ago), with no licence file. It adds 31 tokens to every session and 162 once invoked, about $0.0002 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

skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

CreminiAI/skillpack · 64 tokens

distill-session-knowledge

Offline-mine this project's pi session JSONL logs into reusable, verified knowledge: extracts faults, decisions, corrections, procedures and docs, promotes only recurring patterns, and routes artifacts into skillmanage, memory and docs. Use on "mine my sessions", "distill session knowledge", "extract lessons from…

BlackBeltTechnology/pi-agent-dashboard · 78 tokens

project-scaffolder

Use when a learning plan requires runnable chapter files, a multi-lesson coding course, a project-based route, or a workspace the learner will open in an editor.

yyz666ai/Learning-Agent · 38 tokens

adaptive-lesson-flow

Use when generating a structured learning deck, a lesson manifest, or a short practice sequence for a learner with a confirmed learning profile.

yyz666ai/Learning-Agent · 31 tokens

concept-teaching

Use when 用户希望学习或澄清一个 Python、Go 或当前目标代码所依赖的编程概念,并需要讲解与练习时。.

yyz666ai/Learning-Agent · 38 tokens

knowledge-curator

Use when 要教的主题在 curriculum 里没有对应层级(如用户要学 Java、或某个库/框架),或教完一个知识点值得把它沉淀成知识原子、供以后复用。.

yyz666ai/Learning-Agent · 55 tokens