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 pi-agentgit 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/pi-agent)<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/pi-agent"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/pi-agent/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/pi-agent"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/pi-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Excessive Agency · line 73 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00118 | $0.01715 |
| Opus 5 | $0.00059 | $0.00857 |
| Sonnet 5 | $0.00024 | $0.00343 |
| Haiku 4.5 | $0.00012 | $0.00171 |
Grade A, and why
pi-agent 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 7d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pi Agent
Use this skill when the user wants to operate Pi or build on top of Pi. Pi is a minimal terminal coding harness extended through TypeScript extensions, skills, prompt templates, themes, packages, custom models/providers, SDK integrations, RPC mode, JSON event streams, and TUI components.
First Decision
Pick the reference before answering or coding:
| User intent | Read |
|---|---|
| What Pi is, docs map, install methods | references/overview.md |
| Install, authenticate, first run | references/quickstart.md |
| Day-to-day CLI usage, commands, modes, flags, project trust | references/usage.md |
| Provider auth, API keys, cloud provider setup | references/providers.md |
| Custom model entries, local models, proxies, compat flags | references/models.md |
Local llama.cpp router, /llama, model download/load |
references/llama-cpp.md |
| Settings keys and defaults | references/settings.md |
PI_* and other environment variables |
references/environment-variables.md |
| Extension development, custom tools, events, commands | references/extensions.md |
| Custom provider implementation, OAuth, custom streaming | references/custom-provider.md |
| Embed Pi in Node/TypeScript | references/sdk.md |
| Integrate from another process/language | references/rpc.md |
| Consume JSONL event output | references/json.md |
| Build terminal UI components | references/tui.md |
| Package extensions/skills/prompts/themes | references/packages.md |
| Delegate to subagents, chains, parallel runs, orchestration | references/pi-subagents.md |
| Connect MCP servers, MCP tool discovery/config | references/pi-mcp-adapter.md |
| Interactive interview forms, structured user input | references/pi-interview.md |
| Web search, URL/PDF/repo fetching, video understanding | references/pi-web-access.md |
| Author Pi skills | references/skills.md |
| Prompt templates or themes | references/prompt-templates.md, references/themes.md |
| Sessions, branching, compaction, parsing JSONL | references/sessions.md, references/compaction.md, references/session-format.md |
| Security, sandboxing, trust | references/security.md, references/containerization.md |
| Keyboard or terminal issues | references/keybindings.md, references/terminal-setup.md, references/tmux.md, references/windows.md, references/termux.md, references/shell-aliases.md |
| Working on Pi itself | references/development.md |
What ships with it
34 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.
- references/compaction.md 5.3 KB
- references/containerization.md 3.5 KB
- references/custom-provider.md 8.2 KB
- references/development.md 1.2 KB
- references/environment-variables.md 3.6 KB
- references/extensions.md 18 KB
- references/json.md 2.8 KB
- references/keybindings.md 5.4 KB
- references/llama-cpp.md 3.0 KB
- references/models.md 8.5 KB
- references/overview.md 2.0 KB
- references/packages.md 5.9 KB
- references/pi-interview.md 7.4 KB
- references/pi-mcp-adapter.md 21 KB
- references/pi-subagents.md 41 KB
- references/pi-web-access.md 27 KB
- references/prompt-templates.md 1.7 KB
- references/providers.md 7.9 KB
- references/quickstart.md 2.5 KB
- references/rpc.md 8.9 KB
- references/sdk.md 11 KB
- references/security.md 4.6 KB
- references/session-format.md 6.1 KB
- references/sessions.md 2.9 KB
- references/settings.md 6.8 KB
- references/shell-aliases.md 606 B
- references/skills.md 3.7 KB
- references/terminal-setup.md 4.2 KB
- references/termux.md 1.1 KB
- references/themes.md 4.1 KB
- references/tmux.md 1.6 KB
- references/tui.md 7.5 KB
- references/usage.md 8.0 KB
- references/windows.md 745 B
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.
- 7d ago First seen · 101 lines · 118 tokens per session scan A 51221e4d9040
pi-agent is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (44,220 stars, last pushed 3d ago), licensed MIT. It adds 118 tokens to every session and 1,715 once invoked, about $0.0006 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 2026-09-03.
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