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 desy-design/AG3NT --skill example-skillgit clone --depth 1 https://github.com/desy-design/AG3NTWrote 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/desy-design/ag3nt/example-skill)<a href="https://agentmods.dev/skills/desy-design/ag3nt/example-skill"><img src="https://agentmods.dev/badge/skills/desy-design/ag3nt/example-skill/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/desy-design/ag3nt/example-skill"><img src="https://agentmods.dev/badge/skills/desy-design/ag3nt/example-skill.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00021 | $0.00511 |
| Opus 5.5 | $0.00008 | $0.00204 |
| Sonnet 5.5 | $0.00004 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
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 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.
This is a copy
100% identical to example-skill — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Example Skill
This skill demonstrates the AG3NT skill contract. Use it when the user asks about how skills work or wants to see an example.
When to Use
- User asks "how do skills work?"
- User wants to understand the SKILL.md format
- User asks for an example skill
Skill Contract
Every AG3NT skill follows this structure:
skill-name/ # Folder name = canonical skill ID
├── SKILL.md # Required: YAML frontmatter + markdown instructions
├── scripts/ # Optional: executable scripts
│ └── run.sh # Entrypoint scripts referenced in frontmatter
└── references/ # Optional: supporting docs, configs, examples
└── notes.md
YAML Frontmatter Fields
Required:
name: Must match folder name (max 64 chars, lowercase alphanumeric + hyphens)description: What the skill does (max 1024 chars)
Optional (Agent Skills spec):
license: License name (e.g., "MIT", "Apache-2.0")compatibility: Environment requirementsmetadata: Arbitrary key-value mapallowed-tools: Space-delimited list of pre-approved tools
AG3NT Extensions:
version: Semantic version (e.g., "1.0.0")tags: Array of categorization tagstriggers: Keywords/phrases that activate this skillentrypoints: Named scripts with descriptionsrequired_permissions: Permissions needed for approval flow
Running the Example Script
This skill includes an example entrypoint. To run it:
./scripts/run.sh
The script will print a confirmation message.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 75 lines · 21 tokens per session scan A 2f9e169969e9
example-skill is a skill published in the GitHub repository desy-design/AG3NT (2 stars, last pushed 8d ago), licensed MIT. It adds 21 tokens to every session and 511 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to example-skill, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
example-skill
A minimal example skill that demonstrates the AG3NT SKILL.md format and contract.
paperclip
Use for Paperclip-managed tasks and heartbeats: reading task context, delivering task documents or files, updating completion or blockers, coordinating or delegating work, and following company governance. Includes control plane API operations for assignments, comments, approvals, and routines.
paperclip
Interact with the Paperclip control plane API for task coordination and governance. Use when checking assignments, updating issue status, posting comments, delegating work, managing routines, or calling Paperclip API endpoints.
paperclip-board
Manage a Paperclip company as a board member via chat. Use when the user wants onboarding, company or agent management, approvals, task monitoring, cost oversight, or work product review in the Paperclip control plane.
paperclip-distill
Use when an operation issue is a Paperclip cursor-window, distill, or backfill. Turn source-bundled Paperclip activity into wiki-insightful project standups, durable project pages, decisions, and history without asset dereferencing.
reflection-coach
Reflect on another agent's recent execution record and propose the smallest durable instruction, skill, or tool-description change. Use for evidence-backed coaching proposals, never hot-swaps.