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 agentmods add skills/gen-verse/past-bench/create-skillnpx skills add Gen-Verse/PAST-Bench --skill create-skillgit clone --depth 1 https://github.com/Gen-Verse/PAST-BenchWrote 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/gen-verse/past-bench/create-skill)<a href="https://agentmods.dev/skills/gen-verse/past-bench/create-skill"><img src="https://agentmods.dev/badge/skills/gen-verse/past-bench/create-skill.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00033 | $0.01592 |
| Opus 5 | $0.00016 | $0.00796 |
| Sonnet 5 | $0.00007 | $0.00318 |
| Haiku 4.5 | $0.00003 | $0.00159 |
Grade A, and why
create-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 4d 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Skill Wizard
This skill helps you create new Agent Zero skills that follow the SKILL.md standard.
Quick Start
To create a new skill, I'll guide you through these steps:
- Name & Purpose - What should this skill do?
- Trigger Patterns - When should this skill activate?
- Content Structure - What instructions should the agent follow?
- Supporting Files - Any scripts or templates needed?
SKILL.md Format
Every skill needs a SKILL.md file with YAML frontmatter:
---
name: "skill-name"
description: "Clear description of what this skill does and when to use it"
version: "1.0.0"
author: "Your Name"
tags: ["category1", "category2"]
trigger_patterns:
- "keyword1"
- "phrase that triggers this"
---
# Skill Title
Your skill instructions go here...
Required Fields
| Field | Description | Example |
|---|---|---|
name |
Unique identifier (lowercase, hyphens) | "code-review" |
description |
When/why to use this skill | "Review code for quality and security issues" |
Optional Fields
| Field | Description | Example |
|---|---|---|
version |
Semantic version | "1.0.0" |
author |
Creator name | "Jane Developer" |
tags |
Categorization keywords | ["review", "quality"] |
trigger_patterns |
Words/phrases that activate skill | ["review", "check code"] |
allowed_tools |
Tools this skill can use | ["code_execution", "web_search"] |
Skill Directory Structure
/a0/usr/skills/
└── my-skill/
├── SKILL.md # Required: Main skill file
├── scripts/ # Optional: Helper scripts
│ ├── helper.py
│ └── process.sh
├── templates/ # Optional: Templates
│ └── output.md
└── docs/ # Optional: Additional docs
└── examples.md
Writing Good Skill Instructions
Be Specific and Actionable
# Good
When reviewing code:
1. Check for security vulnerabilities
2. Verify error handling
3. Assess test coverage
# Bad
Review the code and make it better.
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.
- 4d ago First seen · 288 lines · 33 tokens per session scan A 55f81fc1d575
create-skill is a skill published in the GitHub repository Gen-Verse/PAST-Bench (24 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 1,592 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.
Other skills, from other repositories
aig-scanner
A.I.G Scanner — AI security scanning for infrastructure, AI tools / skills, AI Agents, and LLM jailbreak evaluation via Tencent Zhuque Lab AI-Infra-Guard. Uses built-in exec + Python script, no plugin required. Requires AIGBASEURL to be configured. Triggers on: scan AI service, AI vulnerability scan, scan AI infra…
skill-authoring
Author SKILL.md skills: frontmatter, validator limits, structure.
lemmalog
Externalize working memory and logical state into the lemmalog Datalog engine (MCP). Use for ANY multi-step task where state should outlive one context window or span agents: long investigations, debugging sessions, audits, multi-agent searches, systematic explorations, planning with many interdependent constraints…
commit
Atomic git commit with conventional message. Use when the user says "commit", "save my changes", "commit this", or wants to create a git commit. Stages specific files, writes a conventional commit message with body explaining non-obvious decisions. Never uses git add -A.
python-run
Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.
5writing
数学建模竞赛论文撰写阶段,支持 Typst 和 LaTeX 双引擎。根据 ANALYSISMODELINGREPORT.md、RESULTSREPORT.md 和 figures/.pdf 选择比赛模板、排版引擎、组织章节,并在论文正文中按章节直接插入图表。.