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 consciousness-councilgit 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/consciousness-council)<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/consciousness-council"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/consciousness-council/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/consciousness-council"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/consciousness-council.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 | $0.00074 | $0.02811 |
| Opus 5.5 | $0.00030 | $0.01124 |
| Sonnet 5.5 | $0.00015 | $0.00562 |
| Haiku 4.5 | $0.00007 | $0.00281 |
Grade A, and why
consciousness-council 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 14d 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:
- consciousness-council — 100% identical, 80 lines differ
- consciousness-council — 100% identical, 80 lines differ
- consciousness-council — 100% identical, 83 lines differ
- consciousness-council — 100% identical, 83 lines differ
- consciousness-council — 100% identical, 80 lines differ
- consciousness-council — 100% identical, 80 lines differ
- consciousness-council — 100% identical, 81 lines differ
- consciousness-council — 100% identical, 81 lines differ
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consciousness Council
A structured exercise that simulates several thinking archetypes, each emphasizing different assumptions and priorities, then synthesizes their perspectives. These are generated viewpoints from one system, not independent experts or independent evidence. Label factual claims, assumptions, and value judgments separately; verify consequential factual claims against external sources.
When to use
Use for a requested comparison of competing priorities or assumptions, including research planning decisions. The output is a decision aid: a conditional recommendation, unresolved questions, and a next step. It does not establish scientific validity by agreement or by the number of perspectives.
This skill runs within the current conversation. It has no bundled code, service API, credentials, or MindBook connection; use the host's available research tools when factual verification is needed. Do not claim that it creates hosted sessions, stores persistent memories, or contacts real experts.
Before deliberation
- State the decision, feasible options (including postponement when relevant), constraints, and the user's objective. Use supplied context; state material missing information as an assumption or a question.
- Create a short evidence brief: given facts, externally verified facts with sources, assumptions, unknowns, and value judgments. All perspectives use this same brief.
- Verify facts that could change the recommendation using original sources or supplied data. If verification is unavailable, keep the conclusion conditional and identify what must be checked; a simulated Empiricist is not a source.
- Select a response budget: quick (3 perspectives), standard (4–6), or deep (6). These counts organize the output; they are not validated accuracy settings.
How It Works
The Council has three phases:
Phase 1 — Summon the Council
Based on the user's question, select 4–6 Council Members from the archetypes below unless the user requests another configuration. Choose lenses that examine different assumptions, constraints, or values. Agreement supported by the evidence is a valid outcome.
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.
- 14d ago Changed · +25 lines · -55 tokens per session 84b5eb07e545
- 15d ago Changed f1762e4d5283
- 1mo ago First seen · 152 lines · 129 tokens per session scan A 5c7b82a5ac81
consciousness-council is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (50,453 stars, last pushed today), licensed MIT. It adds 74 tokens to every session and 2,811 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.
Other skills, from other repositories
discovery-toolbox
A routed repertoire of 90 scientific thinking operators for biological research agents - visual reasoning, detectability and information budgets, search reframing, causal identification, competing explanations, observation and selection processes, pipeline artifact diagnosis, effort allocation, and confirmation…
discovery-director
Operate as a research director making original discoveries from a given biological question and dataset. Use when the task is open-ended scientific research, exploring omics or experimental data for findings, hypothesis generation and testing, screening a large candidate space of genes, variants, features or…
demo-builder
Builds personalized demo assets for top prospects using the founder's product API/MCP/SDK. Researches prospect, proposes demo concepts, builds working prototype, tests it, and generates comparison report with live demo link.
inbound-lead-enrichment
Fills in missing data for inbound leads — researches the company, identifies the person's role and seniority, finds other stakeholders at the company, checks for existing CRM relationships, and updates the lead record. Produces enriched lead data ready for qualification or outreach. Tool-agnostic.
inbound-lead-qualification
Qualifies inbound leads against full ICP criteria — company size, industry, use case fit, role/seniority of the person. Checks CRM and existing customer base for duplicates and existing relationships. Outputs a scored CSV with qualification status, reasoning, and pipeline overlap flags. Tool-agnostic — works with any…
render-imessage-chat
Render a configurable iMessage conversation inside a properly framed phone, then a brand end card. Uses the original send/receive sounds and a shared frame timeline for text, typing, scrolling and sound. Free local Playwright + ffmpeg assembly; optional image/music generation belongs to separate gated capabilities.