aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore is an AI agent that examines AWS WAF logs and configuration to investigate security incidents, identify bypasses, and create HTML reports. It is for security teams analyzing blocked requests, false positives, bots, DDoS indicators, and rule effectiveness with Amazon Bedrock AgentCore and the Strands Agents SDK.
Borrowing it
Nothing to install: this file belongs to aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore/main/AGENTS.mdgit clone --depth 1 https://github.com/aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcoreWrote 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/instructions/aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore/agents-md)<a href="https://agentmods.dev/instructions/aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore/agents-md"><img src="https://agentmods.dev/badge/instructions/aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore/agents-md/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/instructions/aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore/agents-md"><img src="https://agentmods.dev/badge/instructions/aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore/agents-md.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 | $0.03442 | $0.03442 |
| Opus 5.5 | $0.01377 | $0.01377 |
| Sonnet 5.5 | $0.00688 | $0.00688 |
| Haiku 4.5 | $0.00344 | $0.00344 |
Grade A, and why
sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore AGENTS.md 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.
The source is not reproduced here
Licensed MIT-0
The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 Changed · +4 lines · +104 tokens per session 18bb72a215b6
- 12d ago Changed · +10 lines · +205 tokens per session 62e005f477ec
- 1mo ago Changed · +5 lines · +107 tokens per session 66d1d2c02bdf
- 1mo ago Changed · +12 lines · +178 tokens per session 89e3ce5cce2e
- 1mo ago Changed · +21 lines · +334 tokens per session 7265346a95c4
- 1mo ago Changed · +30 lines · +567 tokens per session 9096f3ebccbd
- 1mo ago Changed · +1 lines · +15 tokens per session 564f72943dca
- 1mo ago First seen · 117 lines · 1,932 tokens per session scan A f06260032e01
sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore AGENTS.md is an instructions file published in the GitHub repository aws-samples/sample-building-a-conversational-ai-agent-for-aws-waf-analysis-with-agentcore (5 stars, last pushed 2d ago), licensed MIT-0. It adds 3,442 tokens to every session, about $0.0138 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.