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 instructions/kryptosai/mcp-observatory/agents-mdgit clone --depth 1 https://github.com/KryptosAI/mcp-observatoryWrote 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/kryptosai/mcp-observatory/agents-md)<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>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 | $0.00524 | $0.00524 |
| Opus 5 | $0.00262 | $0.00262 |
| Sonnet 5 | $0.00105 | $0.00105 |
| Haiku 4.5 | $0.00052 | $0.00052 |
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.
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.mdto add one Safety Index target and generated evidence. - Use
docs/agent-tasks.mdfor copy-pasteable bot and maintainer contribution tasks. - Use
docs/launch.mdanddocs/code-scanning-demo.mdwhen 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 --allso 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.
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.
- 5d ago First seen · 82 lines · 524 tokens per session scan A e19ccb4b3d9a
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.
Other instructions, from other repositories
agent-regress AGENTS.md
AGENTS.md instructions for Gaurav7974/agent-regress, covering agents.md, repository context, key directives and build & test commands.
openrouter-mcp-multimodal AGENTS.md
AGENTS.md instructions for stabgan/openrouter-mcp-multimodal, covering agent instructions, before you ship, releasing (read this before publishing), short version and version files (must all match package.json).
llm-context.py CLAUDE.md
Instructions for cyberchitta/llm-context.py, covering claude.md, working notes (gitignored) and draining the field notes.
seekstone CLAUDE.md
Claude Code instructions for shaqmughal/seekstone, covering claude.md, what this repo is, commands, the harness itself (run after npm install) and architecture.
cyxj-groksearch CLAUDE.md
Claude Code instructions for chenyuxiaojin/cyxj-groksearch, covering claude.md, 常用命令 and 结构与坑.
Plonk AGENTS.md
AGENTS.md instructions for ostapondo/Plonk, covering agent rules, layout, adding a module, build & verify and code style.