Scientific Agent Skills is a collection of reusable procedures that give AI agents capabilities for scientific research across areas such as biology, chemistry, medicine, and drug discovery. It is used by researchers and by people building AI scientist workflows with compatible coding agents. The catalogue contains many of the project's skills and supporting instructions.
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 K-Dense-AI/scientific-agent-skills --skill scholar-evaluationgit clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skillsWrote 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/k-dense-ai/scientific-agent-skills/scholar-evaluation)<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/scholar-evaluation"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/scholar-evaluation/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/k-dense-ai/scientific-agent-skills/scholar-evaluation"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/scholar-evaluation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00043 | $0.02623 |
| Opus 5.5 | $0.00017 | $0.01049 |
| Sonnet 5.5 | $0.00009 | $0.00525 |
| Haiku 4.5 | $0.00004 | $0.00262 |
Grade A, and why
scholar-evaluation 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 26d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- scholar-evaluation — 100% identical, 19 lines differ
- scholar-evaluation — 91% identical, 19 lines differ
How it starts
The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scholar Evaluation
Purpose
Provide developmental, evidence-traceable feedback on a scholarly work: paper, draft, protocol, literature synthesis, or research idea. Use qualitative judgment first. Optional scores only describe how submitted evidence maps to a predeclared bounded rubric.
This skill also audits whether a low-stakes assessment process documents its construct, provenance, rater quality, uncertainty, traceability, sensitivity, fairness, accessibility, privacy, and human governance.
Hard safety boundary
Never use this skill to automate, recommend, materially influence, or score:
- hiring, promotion, or tenure;
- admissions;
- grants or other funding;
- prizes, honors, or awards;
- discipline, dismissal, or sanctions; or
- any other high-impact personnel decision.
Never rank people. Never reduce a person to a composite score. Never infer ability, character, integrity, protected traits, future performance, or worth. A nominal human-in-the-loop does not remove this boundary.
If asked for a prohibited use, stop. Offer developmental comments on a scholarly work or a process-only audit that does not process applications, compare people, recommend an outcome, or advise a decision.
Do not issue publication-readiness, accept/reject, or “top-tier” judgments.
Read references/responsible_assessment.md before any organizational use.
ScholarEval status
The referenced ScholarEval project is an experimental literature-grounded research-idea evaluation framework, not validated psychometrics.
The verified primary record is Moussa et al., ScholarEval: Research Idea Evaluation Grounded in Literature, arXiv:2510.16234v2, revised 2026-02-28. It reports a retrieval-augmented soundness/contribution framework, a 117-idea four-discipline dataset, coverage experiments, and a user study.
Do not generalize those results to person assessment, consequential decisions,
all disciplines, or this skill's rubric. No peer-reviewed publication status
was verified during the dated review. See references/source_ledger.md.
What ships with it
18 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.
- assets/evaluation_template.json 1.3 KB
- assets/evidence_manifest_template.json 1.8 KB
- assets/process_checklist_template.json 2.1 KB
- assets/ratings_template.csv 1.7 KB
- assets/rubric_template.json 12 KB
- references/evaluation_framework.md 10 KB
- references/local_tooling.md 9.1 KB
- references/responsible_assessment.md 9.6 KB
- references/security_validation.md 4.2 KB
- references/source_ledger.md 14 KB
- scripts/_common.py 36 KB runs code
- scripts/calculate_scores.py 1.8 KB runs code
- scripts/check_process.py 8.1 KB runs code
- scripts/check_traceability.py 8.9 KB runs code
- scripts/generate_report_scaffold.py 9.4 KB runs code
- scripts/summarize_agreement.py 11 KB runs code
- scripts/validate_rubric.py 1.7 KB runs code
- scripts/weight_sensitivity.py 10 KB runs code
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.
- 26d ago Changed · +5 lines 9abc66a9ba13
- 27d ago Changed dc14345f5b08
- 1mo ago First seen · 314 lines · 43 tokens per session scan A 50f2225d1828
scholar-evaluation is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (54,953 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 2,623 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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