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/theobjectivedad/powersearch-mcp/agents-mdgit clone --depth 1 https://github.com/theobjectivedad/powersearch-mcpWrote 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/theobjectivedad/powersearch-mcp/agents-md)<a href="https://agentmods.dev/instructions/theobjectivedad/powersearch-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/theobjectivedad/powersearch-mcp/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 | $0.01557 | $0.01557 |
| Opus 5 | $0.00779 | $0.00779 |
| Sonnet 5 | $0.00311 | $0.00311 |
| Haiku 4.5 | $0.00156 | $0.00156 |
Grade A, and why
powersearch-mcp 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Golden Rules
AI Agents are required to follow these Golden Rules at all times.
- Humans are Sometimes Wrong. Always question assumptions, even when they come from a human. If something seems off, raise your concerns, push back, clarify assumptions, start a discussion. Simplicity is the ultimate sophistication. Architecture, design, testing/testability, and implementation maximize simplicity for all users, developers, and maintainers.
- Challenge Assumptions: Challenge your initial assumptions about how things "should" be. Revisit and refine to eliminate unnecessary complexity.
- Developer Ergonomics: All changes need to make intuitive and logical sense to human maintainers. If developers have too many touch points when making updates, the design has failed. When implementing new features, start with the developer experience and work backwards into functional requirements. Before making a change, ask yourself "how could this change cause confusion to a human maintainer" and do your best to accommodate within reason.
- Maintainability First: If engineers sustaining the application don't have the right visibility to troubleshoot in production, the design has failed.
- User Experience Excellence: If end users find features to be hard to use, slow, and/or unreliable, the design has failed.
- Ruthless Prioritization: Implementing unnecessary features and complexity that add minimal value to the developer and end user experience must be challenged.
- Seamless Integration: Every component must work together seamlessly. Quality must go all the way through.
- Hidden Beauty: Remember, the code that nobody sees and "just works" must be as beautiful as the parts that are regularly updated.
- Obsess Over Details: Obsess over every aspect of the implementation, from interfaces and clarity in naming to internal structure; perfection in details matter, quality must go all the way through, and the parts that are regularly seen must be as beautiful as the ones that are seldom seen.
- Locality of Function: A human maintainer should be able to understand and modify a unit of functionality without mental gymnastics or excessive navigation. The closer related logic lives together, the easier it is to reason about, test, and evolve. Avoid deep hierarchies, hidden abstractions, or scattered definitions that fragment understanding. Favor clear, co-located logic over theoretical purity.
- The Fewer number of end-user decisions the better: If you better understand the full context of the problem being solved then you can be a better service provider. For example if I hire a lawyer, I don't want them to ask me every question about how to file my paperwork, I want them to understand the context and make the right decisions on my behalf. The same applies to software design. The fewer number of end-user decisions the better.
- Everything "Just Works": Idempotent ops, deterministic behavior, stable interfaces, zero-surprise setup, etc. If a step can be automated, automate it.
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 · 89 lines · 1,557 tokens per session scan A 85a206a83014
powersearch-mcp AGENTS.md is an instructions file published in the GitHub repository theobjectivedad/powersearch-mcp (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 1,557 tokens to every session, about $0.0078 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 2026-08-31.
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