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/richfrem/agent-plugins-skills/example-skillnpx skills add richfrem/agent-plugins-skills --skill example-skillgit clone --depth 1 https://github.com/richfrem/agent-plugins-skillsWrote 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/richfrem/agent-plugins-skills/example-skill)<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/example-skill"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/example-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 | $0.00067 | $0.00407 |
| Opus 5 | $0.00034 | $0.00204 |
| Sonnet 5 | $0.00013 | $0.00081 |
| Haiku 4.5 | $0.00007 | $0.00041 |
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 yesterday.
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.
What it actually says
Gold Standard Example Skill
This skill demonstrates the canonical structure for a compliant Agent Skill.
When analyzed by agent-scaffolders, this fixture MUST:
- Score maturity >= L2 (structured skill + references directory)
- Produce zero Critical or Error findings
- Identify at least 2 patterns: Progressive Disclosure, Acceptance Criteria Gate
- Score Structure >= 4/5, Security = 5/5
Execution Flow
This skill uses Progressive Disclosure. Load only what you need:
- For acceptance criteria and completion gates -> read
./acceptance-criteria.md - For analysis notes and known patterns in this fixture -> read
./analysis-notes.md
Step 1: Orient
Identify what the user needs:
- Demo: Show the skill structure and explain the Progressive Disclosure pattern
- Validate: Run
analyze-pluginagainst this fixture and confirm expected scores - Reference: Use this SKILL.md as a template baseline for new skill scaffolding
Step 2: Execute
Present the relevant output based on the user's goal. Always confirm the acceptance
criteria in ./acceptance-criteria.md are satisfied before marking complete.
Design Principles Demonstrated
| Principle | Implementation |
|---|---|
| Progressive Disclosure | Deep content in references/, lean SKILL.md |
| Acceptance Criteria Gate | Explicit checklist in ./acceptance-criteria.md |
| Structured Output | Table-formatted step summary |
| Trigger Vocabulary | Rich description with multiple phrasing variants |
What ships with it
4 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.
- yesterday First seen · 48 lines · 67 tokens per session scan A d0456d7872a5
example-skill is a skill published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed yesterday), licensed MIT. It adds 67 tokens to every session and 407 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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