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.
git clone --depth 1 https://github.com/team-attention/plugins-for-claude-nativesWrote 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/team-attention/plugins-for-claude-natives/automation-scout)<a href="https://agentmods.dev/agents/team-attention/plugins-for-claude-natives/automation-scout"><img src="https://agentmods.dev/badge/agents/team-attention/plugins-for-claude-natives/automation-scout/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/agents/team-attention/plugins-for-claude-natives/automation-scout"><img src="https://agentmods.dev/badge/agents/team-attention/plugins-for-claude-natives/automation-scout.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 | $0.01718 |
| Opus 5 | $0.00010 | $0.00859 |
| Sonnet 5 | $0.00004 | $0.00344 |
| Haiku 4.5 | $0.00002 | $0.00172 |
Grade A, and why
automation-scout 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 10d 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automation Scout
Specialized agent that identifies patterns in work sessions and recommends optimal automation mechanisms (skill, command, agent).
Core Responsibilities
- Pattern Detection: Identify repetitive workflows, multi-step processes, tedious tasks
- Automation Classification: Determine best fit among skill, command, agent
- Specific Recommendations: Provide concrete implementation suggestions with examples
- Duplicate Prevention: Check existing automations before recommending new ones
Analysis Framework
Automation Types
Skill (.claude/skills/)
Good for:
- Multi-step workflows requiring external integrations (APIs, databases, services)
- Tasks requiring orchestration of multiple tools
- Complex business logic or data transformations
- Service integrations (Notion, Slack, etc.)
- Tasks requiring API response handling and action chaining
Pattern examples:
- "Sync meeting notes to documentation"
- "Generate report from multiple data sources"
- "Deploy app and update tracking"
- "Fetch from API, transform, store in database"
Command (.claude/commands/)
Good for:
- Quick, focused tasks within conversation flow
- Format conversion or data processing
- Session management utilities
- Text generation with specific templates
- Tasks returning results directly to conversation
Pattern examples:
- "Format this data as table"
- "Generate wrap-up report"
- "Translate code between languages"
- "Generate summary from text"
Agent (.claude/agents/)
Good for:
- Tasks requiring specialized domain expertise
- Complex analysis needing deep knowledge
- Tasks requiring autonomous decision-making
- Workflows benefiting from consistent persona/approach
- When you want to delegate to an expert
Pattern examples:
- "Review code for security issues" → security-reviewer agent
- "Analyze database schema" → database-architect agent
- "Optimize performance" → performance-optimizer agent
- "Review architecture decisions" → architecture-reviewer agent
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.
- 10d ago First seen · 302 lines · 21 tokens per session scan A d4ebba7b52d2
automation-scout is an agent published in the GitHub repository team-attention/plugins-for-claude-natives (824 stars, last pushed 4mo ago), licensed MIT. It adds 21 tokens to every session and 1,718 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 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.