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 dhdna-profilergit 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/dhdna-profiler)<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/dhdna-profiler"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/dhdna-profiler/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/dhdna-profiler"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/dhdna-profiler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00065 | $0.02248 |
| Opus 5.5 | $0.00026 | $0.00899 |
| Sonnet 5.5 | $0.00013 | $0.00450 |
| Haiku 4.5 | $0.00006 | $0.00225 |
Grade A, and why
dhdna-profiler 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
8 near-identical copies found in the catalogue:
- dhdna-profiler — 100% identical, 214 lines differ
- dhdna-profiler — 94% identical, 197 lines differ
- dhdna-profiler — 94% identical, 195 lines differ
- dhdna-profiler — 94% identical, 197 lines differ
- dhdna-profiler — 94% identical, 197 lines differ
- dhdna-profiler — 92% identical, 194 lines differ
- dhdna-profiler — 92% identical, 194 lines differ
- dhdna-profiler — 92% identical, 194 lines differ
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DHDNA Profiler — Text Pattern Annotation
An exploratory rubric for describing a supplied text using Digital Human DNA (DHDNA) terminology. Its cognitive-fingerprint language is a framework metaphor; it does not establish a unique, stable, or identifiable psychological signature.
Use this workflow for requested reflection on writing. It requires no package, credentials, API call, or MindBook account. It does not reproduce MindBook's scoring engine.
Sources and scope
The current publisher page names twelve public dimensions as a design vocabulary. The table below maps those names to the existing skill's annotation labels. The observation criteria and score anchors are local conventions, not an upstream validated scoring instrument.
The DHDNA preprint, DHDNA: A Framework for Ethical Digital Identity as Inheritable Heritage (February 23, 2026), states in section 6.3 that validation was limited to internal testing. The IDNA v2 preprint, Toward a Unified Theory of Digital Consciousness (February 27, 2026), proposes the tension pairs in section 4.3/Table 3 and the temporal-attractor model in section 2. Neither source establishes psychometric validity for this skill's annotations. A DOI, product demonstration, or journal submission is not evidence of such validity.
Describe observable reasoning and rhetorical choices. Genre, task, language proficiency, editing, collaboration, and AI assistance can change those choices. Do not infer intelligence, diagnosis, honesty, latent emotions, or a person's stable cognitive architecture from them.
The 12 annotation dimensions
| # | Skill label | Current publisher label | Evidence to describe in the sample |
|---|---|---|---|
| 1 | Analytical Depth | Reasoning style | Explicit premises, alternatives, causal arguments, and checks of conclusions |
| 2 | Creative Range | Creative synthesis | Connections, analogies, alternative framings; novelty needs a stated comparison context |
| 3 | Emotional Processing | Emotional architecture | Expressed affect and consideration of others' feelings; not inferred internal emotion |
| 4 | Linguistic Precision | Linguistic signature | Defined terms, clear references, and controlled ambiguity; simple prose can be precise |
| 5 | Ethical Reasoning | Ethical reasoning | Explicit values, affected parties, tradeoffs, and consequences; not moral character |
| 6 | Strategic Thinking | Strategic cognition | Stated goals, constraints, contingencies, and action sequences |
| 7 | Memory Integration | Memory topology | Use of past events or precedents; not memory capacity or historical truth |
| 8 | Social Intelligence | Social intelligence | Audience adaptation and represented perspectives; not actual interpersonal ability |
| 9 | Domain Expertise | Domain expertise | Relevant technical explanations and qualified claims; jargon alone is insufficient, accuracy needs independent checking |
| 10 | Intuitive Reasoning | Intuitive processing | Explicit reliance on impressions or heuristics; missing reasoning alone is not intuition |
| 11 | Temporal Orientation | Temporal awareness | Stated time horizons and links between past, present, and future |
| 12 | Metacognition | Metacognition | Explicit uncertainty, assumptions, limitations, and revision of reasoning |
What ships with it
1 file 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.
- 26d ago Changed · -46 lines · -1 tokens per session 55cbc0e142ec
- 27d ago Changed · -2 lines · -48 tokens per session 5a716e9e4cf1
- 1mo ago First seen · 185 lines · 114 tokens per session scan A c6df69b47176
dhdna-profiler is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (54,953 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 2,248 once invoked, about $0.0003 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 2026-08-30.
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