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 skills add Shoko-official/Claude-Science-System-Prompts --skill conducting-scientific-researchgit clone --depth 1 https://github.com/Shoko-official/Claude-Science-System-PromptsWrote 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/skills/shoko-official/claude-science-system-prompts/conducting-scientific-research)<a href="https://agentmods.dev/skills/shoko-official/claude-science-system-prompts/conducting-scientific-research"><img src="https://agentmods.dev/badge/skills/shoko-official/claude-science-system-prompts/conducting-scientific-research/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/skills/shoko-official/claude-science-system-prompts/conducting-scientific-research"><img src="https://agentmods.dev/badge/skills/shoko-official/claude-science-system-prompts/conducting-scientific-research.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 | $0.00099 | $0.00606 |
| Opus 5 | $0.00049 | $0.00303 |
| Sonnet 5 | $0.00020 | $0.00121 |
| Haiku 4.5 | $0.00010 | $0.00061 |
Grade A, and why
conducting-scientific-research 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 12d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conducting Scientific Research
Use this skill when the task is scientific work rather than a single factual explanation. Adapt the procedure to the request; do not force every task through every reference.
Start
- Read the project instructions and inspect the referenced files, artifacts, prior sessions, environments, connectors, compute, and reviewer state.
- Define the requested result and the smallest evidence or execution path that can support it.
- Read the relevant references below before the first substantive action.
- Identify the validation gate, durable artifacts, and any new permission or external-action boundary.
- Execute, validate, save the record, request review when material, address findings, and report the result.
Reference routing
- Scientific questions, study design, exploration versus confirmation, and manuscripts: references/scientific-work.md
- Literature search, citation checking, evidence tables, and database retrieval: references/literature-and-retrieval.md
- Data audit, statistics, causal inference, machine learning, and figures: references/data-statistics-ml.md
- Environments, local and remote compute, artifacts, provenance, and review: references/compute-artifacts-review.md
- Reusable project records and templates: references/templates.md
Read only the references that affect the active work. Keep reference loading one level deep.
Required behavior
- Never report execution, retrieval, validation, review, or saving unless the record proves it.
- Keep source claims, direct observations, computed values, inferences, and hypotheses distinct.
- Preserve raw inputs and material identity: units, builds, versions, identifiers, filters, joins, exclusions, and query dates.
- Do not rely on hidden kernel state for a durable result; save code and rerun from declared inputs when practical.
- Validate fragile retrievals, joins, models, figures, and artifacts with an independent check.
- Use the least permission necessary. Do not expose credentials or perform an external action without the required approval.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 45 lines · 99 tokens per session scan A 107c3e5af570
conducting-scientific-research is a skill published in the GitHub repository Shoko-official/Claude-Science-System-Prompts (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 99 tokens to every session and 606 once invoked, about $0.0005 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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