Borrowing it
Nothing to install: this file belongs to opensearch-project/opensearch-agent-skills. 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/opensearch-project/opensearch-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/opensearch-project/opensearch-agent-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/instructions/opensearch-project/opensearch-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/opensearch-project/opensearch-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/opensearch-project/opensearch-agent-skills/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/opensearch-project/opensearch-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/opensearch-project/opensearch-agent-skills/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 | $0.01274 | $0.01274 |
| Opus 5 | $0.00637 | $0.00637 |
| Sonnet 5 | $0.00255 | $0.00255 |
| Haiku 4.5 | $0.00127 | $0.00127 |
Grade B, and why
opensearch-agent-skills AGENTS.md scanned grade B with 1 finding 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 9d 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.
Reads MCP configurationmediumAgent snooping
mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.
3. **Do not commit** `.env`, `.mcp.json`, credentials, or secrets. How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance for AI coding agents working on the opensearch-agent-skills repository.
Project Overview
A collection of Agent Skills for building search applications and analyzing observability data with OpenSearch. Skills are organized in a tree structure under skills/opensearch-skills/ — users can install the entire tree or individual skills at any level.
Tech Stack
- Language: Python 3.11+
- Package manager: uv
- Testing: pytest
- CI: GitHub Actions (Linux, macOS, Windows)
- Dependencies:
opensearch-py(runtime),pytest>=7.0(dev)
Repository Structure
skills/
opensearch-skills/ # Top-level meta-skill (install all)
SKILL.md # Routes to category skills
cli-reference.md # CLI command reference
scripts/ # Shared scripts, UI, sample data
opensearch_ops.py # Main CLI tool
start_opensearch.sh # Docker bootstrap
lib/ # Core Python modules
client.py # Connection, auth, preflight
operations.py # Index/model/pipeline ops
search.py # Query building, UI logic
evaluate.py # Search quality metrics
samples.py # Sample data loading
ui.py # Search Builder UI server
ui/ # React frontend (index.html, app.jsx, styles.css)
sample_data/ # Bundled IMDB sample dataset
search/ # Category: Search
SKILL.md # Category router
opensearch-launchpad/ # Leaf skill: search app builder
SKILL.md
*.md # Reference files (models, strategies, evaluation)
observability/ # Category: Observability
SKILL.md # Category router
log-analytics/ # Leaf skill: log querying & analysis
SKILL.md
log-analytics.md # Full workflow reference
ppl-reference.md # PPL syntax reference
trace-analytics/ # Leaf skill: distributed trace investigation
SKILL.md
traces.md # Trace query templates
ppl-reference.md # PPL syntax reference
cloud/ # Category: Cloud deployment
SKILL.md # Category router
aws-setup/ # Leaf skill: AWS provisioning & deployment
SKILL.md
aos/ # Amazon OpenSearch Service guides
aoss/ # Amazon OpenSearch Serverless guides
reference.md # Cost, security, troubleshooting
aiven-setup/ # Leaf skill: Aiven provisioning & deployment
SKILL.md
aiven-01-provision.md # Provision the managed Aiven service
aiven-02-deploy-search.md # Deploy the search configuration
reference.md # Plan sizing, TLS/CA, HA, troubleshooting
tests/ # pytest test suite (no cluster required)
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.
- 9d ago First seen · 120 lines · 1,274 tokens per session scan B 67456bfd0e66
opensearch-agent-skills AGENTS.md is an instructions file published in the GitHub repository opensearch-project/opensearch-agent-skills (52 stars, last pushed 7d ago), licensed Apache-2.0. It adds 1,274 tokens to every session, about $0.0064 per session on Opus 5. A static security scan graded it B with 1 finding (reads mcp configuration). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vibe-coding-prompt-template backend.instructions.md
Instructions for KhazP/vibe-coding-prompt-template: Read AGENTS.md, agentdocs/techstack.md, and agentdocs/codepatterns.md.
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.