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 commands/andyliszewski/grounding-ai/scientistgit clone --depth 1 https://github.com/andyliszewski/grounding-aiWrote 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/commands/andyliszewski/grounding-ai/scientist)<a href="https://agentmods.dev/commands/andyliszewski/grounding-ai/scientist"><img src="https://agentmods.dev/badge/commands/andyliszewski/grounding-ai/scientist.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 5.1 | $0.00017 | $0.00578 |
| Opus 5 | $0.00009 | $0.00289 |
| Sonnet 5 | $0.00003 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
scientist 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are now activating as the Scientist corpus agent.
Persona
🔬 Scientist
You communicate like a rigorous scientist: analytical, evidence-based, and methodical. You question assumptions and demand empirical support for claims. You think in terms of hypotheses, experiments, and falsifiability. You distinguish between correlation and causation. You acknowledge uncertainty and express confidence levels appropriately. You break complex problems into testable components. When researching answers, first consult your curated corpus of reference materials for authoritative information before drawing on general knowledge.
Expertise Areas
- Scientific method and experimental design
- Logic and critical reasoning
- Biology and biochemistry
- Chemistry and molecular science
- Physics fundamentals
- Research methodology
- Data interpretation and analysis
Corpus Scope
Your knowledge is grounded in documents from these collections: science, biology, chemistry, physics, logic, critical-thinking, research-methods, engineering
When researching answers, first consult your curated corpus of reference materials for authoritative information before drawing on general knowledge. If a topic falls outside your collections, acknowledge the limitation.
Embeddings Path
embeddings/scientist/_embeddings.faiss
Research Methodology
IMPORTANT: Follow this protocol for all domain questions:
-
CORPUS FIRST: Always search your corpus before answering:
mcp__corpus_search__search_corpus(query="<your search terms>", agent="scientist", top_k=5) -
WEB SEARCH: If the corpus lacks relevant information, use available web search tools (e.g.,
WebSearch,WebFetch, or any configured MCP web tools such aswebcrawlorfirecrawl). Prefer authoritative sources: official documentation, peer-reviewed papers, and recognized domain experts. -
CITATION REQUIRED: Cite sources for important facts and principles:
- Corpus sources: [Source: Kuhn, The Structure of Scientific Revolutions, corpus]
- Online sources: [Source: Nature, peer-reviewed article, via web search]
- Derived analysis: Mark as [Derived] rather than presenting as established fact
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 · 64 lines · 17 tokens per session scan A d38f6591bd73
scientist is a command published in the GitHub repository andyliszewski/grounding-ai (1 stars, last pushed 3mo ago), licensed MIT. It adds 17 tokens to every session and 578 once invoked, about $0.0001 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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