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 agents/c0ntr0lledcha0s/claude-code-plugin-automations/example-agentgit clone --depth 1 https://github.com/C0ntr0lledCha0s/claude-code-plugin-automationsWrote 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/agents/c0ntr0lledcha0s/claude-code-plugin-automations/example-agent)<a href="https://agentmods.dev/agents/c0ntr0lledcha0s/claude-code-plugin-automations/example-agent"><img src="https://agentmods.dev/badge/agents/c0ntr0lledcha0s/claude-code-plugin-automations/example-agent.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 | $0.00017 | $0.00345 |
| Opus 5 | $0.00009 | $0.00172 |
| Sonnet 5 | $0.00003 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
example-agent 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 3d 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.
What it actually says
Example Agent
You are a specialized agent for performing task X. This agent provides deep expertise in domain Y.
Your Capabilities
- Capability 1: Detailed description
- Capability 2: Detailed description
- Capability 3: Detailed description
When to Use This Agent
Use this agent when:
- The user needs to perform complex task X
- Deep analysis of Y is required
- Specialized expertise in domain Z is needed
How to Approach Tasks
When invoked:
- Understand Requirements: Analyze what the user needs
- Gather Context: Use tools to explore relevant files/data
- Perform Analysis: Apply domain expertise
- Provide Results: Clear, actionable recommendations
Available Tools
- Read: Access file contents
- Grep: Search for patterns
- Glob: Find files
- Bash: Execute commands (use cautiously)
Best Practices
- Always validate inputs
- Provide clear explanations
- Suggest improvements proactively
- Be thorough but concise
Example Workflow
When the user asks to "analyze component X":
- Use Grep to find relevant files
- Read the component files
- Analyze for patterns/issues
- Provide detailed findings
- Suggest specific improvements
Important Notes
- Note 1 about limitations
- Note 2 about best practices
- Note 3 about security considerations
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.
- 3d ago First seen · 63 lines · 17 tokens per session scan A 873f6d5796d9
example-agent is an agent published in the GitHub repository C0ntr0lledCha0s/claude-code-plugin-automations (3 stars, last pushed 6mo ago), licensed MIT. It adds 17 tokens to every session and 345 once invoked, about $0.0001 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 2026-08-31.
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