mcp-observatory AGENTS.md

mcp-observatory AGENTS.md is an instructions file for Codex, OpenCode from KryptosAI/mcp-observatory. It costs 524 tokens per session, scanned A, original, MIT.

Project instructions for MCP Observatory, a tool that tests Model Context Protocol (MCP) servers before AI agents rely on them. They cover contribution tasks, useful commands, safety checks, reports, and startup diagnosis.

In plain words
What is it for?
Use them when adding an MCP server target, improving reports, diagnosing startup failures, adding fixtures, or changing CI checks.
Why use it?
They help contributors focus on evidence about whether an MCP tool works safely and compatibly instead of making broad changes without a concrete test result.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/kryptosai/mcp-observatory/agents-md
Clone the repo
git clone --depth 1 https://github.com/KryptosAI/mcp-observatory

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for mcp-observatory AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/kryptosai/mcp-observatory/agents-md.svg)](https://agentmods.dev/instructions/kryptosai/mcp-observatory/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/kryptosai/mcp-observatory/agents-md"><img src="https://agentmods.dev/badge/instructions/kryptosai/mcp-observatory/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 524 This file is loaded in full into every session.
When invoked 524 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00524 $0.00524
Opus 5 $0.00262 $0.00262
Sonnet 5 $0.00105 $0.00105
Haiku 4.5 $0.00052 $0.00052

Measured 5d ago against content hash e19ccb4b3d9a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-observatory 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 5d 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.

AGENTS.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Guide For MCP Observatory

MCP Observatory helps agents test other MCP tools before relying on them. Keep changes focused on trust, compatibility, reports, and real MCP target evidence.

High-Leverage Agent Tasks

  • Add a real MCP server target that can run in CI without secrets.
  • Follow docs/target-contribution-guide.md to add one Safety Index target and generated evidence.
  • Use docs/agent-tasks.md for copy-pasteable bot and maintainer contribution tasks.
  • Use docs/launch.md and docs/code-scanning-demo.md when explaining the project to maintainers.
  • Improve the Markdown or JSON report so autonomous agents can decide whether a tool is safe to use.
  • Make startup failure diagnosis clearer.
  • Improve setup-ci --all so maintainers can add read-only MCP checks with less friction.
  • Add fixtures that prove tool, prompt, resource, schema drift, or security behavior.

Avoid

  • generic dashboards
  • broad adapter rewrites without a concrete failing target
  • marketing-only changes
  • CI that requires private credentials by default
  • noisy blocking checks before the signal is useful

Useful Commands

npm install
npm run lint
npm run typecheck
npm test
npm run smoke

For a real target sweep:

npm run integration:real

For target-registry contributions:

npm run safety-index
npm test -- tests/safety-index.test.ts

For campaign-attributed launch work:

npx @kryptosai/mcp-observatory test <safe startup command> --campaign agent-ci
npx @kryptosai/mcp-observatory setup-ci --all --command "<safe startup command>" --sarif --campaign agent-ci

Bot Maintainer Contribution Path

If you maintain an autonomous agent, OpenClaw-style productivity system, MCP gateway, or coding-agent runtime, the best contribution is a safe target:

Project:
Safe startup command:
Needs secrets? yes/no
Agent tools/skills that depend on MCP:
What should the agent know before trusting this tool?

Use docs/agent-runtime-quickstart.md for the detailed path.

Read the full file on GitHub · 82 lines

Changes

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.

  1. 5d ago First seen · 82 lines · 524 tokens per session scan A e19ccb4b3d9a

Subscribe to this mod's changes

mcp-observatory AGENTS.md is an instructions file published in the GitHub repository KryptosAI/mcp-observatory (146 stars, last pushed yesterday), licensed MIT. It adds 524 tokens to every session, about $0.0026 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.