Astropy
zLanqing/codex-claude-academic-skills
Comprehensive Python library for astronomy and astrophysics.
Calculate seawater thermodynamic properties using TEOS-10 standard including density, salinity, sound speed, and freezing temperature for oceanography.
$ npx skills add InternScience/scp --skill oceanographic-seawater-properties -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install InternScience/scp oceanographic-seawater-properties --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/oceanographic-seawater-properties .claude/skills/oceanographic-seawater-properties && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "oceanographic-seawater-properties" agent skill from https://github.com/InternScience/scp/tree/main/skills/oceanographic-seawater-properties into .claude/skills/oceanographic-seawater-properties/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oceanographic-seawater-properties", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/InternScience/scp/tree/main/skills/oceanographic-seawater-propertiesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add InternScience/scp --skill oceanographic-seawater-properties -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install InternScience/scp oceanographic-seawater-properties --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/oceanographic-seawater-properties .agents/skills/oceanographic-seawater-properties && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "oceanographic-seawater-properties" agent skill from https://github.com/InternScience/scp/tree/main/skills/oceanographic-seawater-properties into .agents/skills/oceanographic-seawater-properties/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oceanographic-seawater-properties", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add InternScience/scp --skill oceanographic-seawater-properties -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install InternScience/scp oceanographic-seawater-properties --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/oceanographic-seawater-properties .cursor/skills/oceanographic-seawater-properties && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "oceanographic-seawater-properties" agent skill from https://github.com/InternScience/scp/tree/main/skills/oceanographic-seawater-properties into .cursor/skills/oceanographic-seawater-properties/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oceanographic-seawater-properties", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/InternScience/scp.git --path skills/oceanographic-seawater-properties--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add InternScience/scp --skill oceanographic-seawater-properties -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install InternScience/scp oceanographic-seawater-properties --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/oceanographic-seawater-properties .gemini/skills/oceanographic-seawater-properties && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "oceanographic-seawater-properties" agent skill from https://github.com/InternScience/scp/tree/main/skills/oceanographic-seawater-properties into .gemini/skills/oceanographic-seawater-properties/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oceanographic-seawater-properties", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install InternScience/scp oceanographic-seawater-propertiesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add InternScience/scp --skill oceanographic-seawater-properties -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/oceanographic-seawater-properties .github/skills/oceanographic-seawater-properties && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "oceanographic-seawater-properties" agent skill from https://github.com/InternScience/scp/tree/main/skills/oceanographic-seawater-properties into .github/skills/oceanographic-seawater-properties/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oceanographic-seawater-properties", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add InternScience/scp --skill oceanographic-seawater-properties -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install InternScience/scp oceanographic-seawater-properties --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/InternScience/scp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/oceanographic-seawater-properties .opencode/skills/oceanographic-seawater-properties && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "oceanographic-seawater-properties" agent skill from https://github.com/InternScience/scp/tree/main/skills/oceanographic-seawater-properties into .opencode/skills/oceanographic-seawater-properties/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oceanographic-seawater-properties", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
oceanographic-seawater-propertiesCalculate seawater thermodynamic properties using TEOS-10 standard including density, salinity, sound speed, and freezing temperature for oceanography.
Oceanographic Seawater Properties is an agent skill from InternScience/scp. Calculate seawater thermodynamic properties using TEOS-10 standard including density, salinity, sound speed, and freezing temperature for oceanography.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Physical and earth sciences. The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cea5398. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Oceanographic Seawater Properties loads about 2.2k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 474 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from InternScience/scp at commit cea5398, republished under its MIT licence (© InternScience). 474 words, ~2,205 tokens.
.claude/skills/oceanographic-seawater-properties/SKILL.md (or your agent's skills folder).import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class OceanGSWClient:
"""Ocean GSW (Gibbs SeaWater) MCP Client"""
def __init__(self, server_url: str, api_key: str):
self.server_url = server_url
self.api_key = api_key
self.session = None
async def connect(self):
print(f"Connecting to: {self.server_url}")
try:
self.transport = streamablehttp_client(
url=self.server_url,
headers={"SCP-HUB-API-KEY": self.api_key}
)
self.read, self.write, self.get_session_id = await self.transport.__aenter__()
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self.session_ctx.__aenter__()
await self.session.initialize()
print("✓ connect success")
return True
except Exception as e:
print(f"✗ connect failure: {e}")
return False
async def disconnect(self):
try:
if self.session:
await self.session_ctx.__aexit__(None, None, None)
if hasattr(self, 'transport'):
await self.transport.__aexit__(None, None, None)
print("✓ already disconnect")
except Exception as e:
print(f"✗ disconnect error: {e}")
def parse_result(self, result):
try:
if hasattr(result, 'content') and result.content:
content = result.content[0]
if hasattr(content, 'text'):
return json.loads(content.text)
return str(result)
except Exception as e:
return {"error": f"parse error: {e}", "raw": str(result)}Calculate seawater thermodynamic properties following the TEOS-10 (Thermodynamic Equation of Seawater - 2010) international standard.
Workflow Steps:
Implementation:
## Initialize client
client = OceanGSWClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/34/OceanGSW-Tool",
"<your-api-key>"
)
if not await client.connect():
print("connection failed")
exit()
print("=== Oceanographic Seawater Properties (TEOS-10) ===\n")
## Input parameters for typical ocean conditions
practical_salinity = 35.0 # PSU (practical salinity units)
temperature = 10.0 # °C (in-situ temperature)
pressure = 1000.0 # dbar (approximately 1000m depth)
longitude = -30.0 # degrees E
latitude = 20.0 # degrees N
## Step 1: Convert practical salinity to absolute salinity
print("Step 1: Convert to Absolute Salinity")
result = await client.session.call_tool(
"SA_from_SP",
arguments={
"SP": practical_salinity,
"p": pressure,
"lon": longitude,
"lat": latitude
}
)
absolute_salinity = client.parse_result(result)
print(f"Practical Salinity: {practical_salinity} PSU")
print(f"Absolute Salinity: {absolute_salinity} g/kg\n")
## Step 2: Calculate seawater density
print("Step 2: Calculate Seawater Density")
result = await client.session.call_tool(
"rho",
arguments={
"SA": absolute_salinity,
"CT": temperature,
"p": pressure
}
)
density = client.parse_result(result)
print(f"Density: {density} kg/m³\n")
## Step 3: Calculate speed of sound
print("Step 3: Calculate Sound Speed")
result = await client.session.call_tool(
"sound_speed",
arguments={
"SA": absolute_salinity,
"CT": temperature,
"p": pressure
}
)
sound_speed = client.parse_result(result)
print(f"Sound Speed: {sound_speed} m/s\n")
## Step 4: Calculate freezing temperature
print("Step 4: Calculate Freezing Temperature")
result = await client.session.call_tool(
"t_freezing",
arguments={
"SA": absolute_salinity,
"p": pressure,
"saturation_fraction": 0.0 # 0 for air-free, 1 for air-saturated
}
)
freezing_temp = client.parse_result(result)
print(f"Freezing Temperature: {freezing_temp}°C\n")
## Step 5: Calculate potential temperature
print("Step 5: Calculate Potential Temperature")
result = await client.session.call_tool(
"pt_from_t",
arguments={
"SA": absolute_salinity,
"t": temperature,
"p": pressure,
"p_ref": 0.0 # Reference pressure (0 for surface)
}
)
potential_temp = client.parse_result(result)
print(f"In-situ Temperature: {temperature}°C")
print(f"Potential Temperature: {potential_temp}°C\n")
await client.disconnect()OceanGSW-Tool Server (TEOS-10 Standard):
SA_from_SP: Convert practical salinity to absolute salinity
SP (PSU), p (dbar), lon (deg E), lat (deg N)rho: Calculate seawater density
SA (g/kg), CT (°C), p (dbar)sound_speed: Calculate speed of sound in seawater
SA (g/kg), CT (°C), p (dbar)t_freezing: Calculate freezing temperature
SA (g/kg), p (dbar), saturation_fraction (0-1)pt_from_t: Calculate potential temperature from in-situ temperature
SA (g/kg), t (°C), p (dbar), p_ref (dbar)Inputs:
Outputs:
TEOS-10 (Thermodynamic Equation of Seawater - 2010) is the international standard for seawater properties:
Absolute vs Practical Salinity:
Seawater Density:
Sound Speed:
Freezing Temperature:
The OceanGSW-Tool server provides 50+ TEOS-10 functions including:
alpha: Thermal expansion coefficientbeta: Haline contraction coefficientchem_potential_water: Chemical potentialcp: Specific heat capacityenthalpy: Specific enthalpyentropy: Specific entropyinternal_energy: Specific internal energyNsquared: Brunt-Väisälä frequency (ocean stability)sigma0, sigma1, sigma2, sigma3, sigma4: Potential density anomaliesspiciness0, spiciness1, spiciness2: Water mass spiciness© InternScience, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/oceanographic-seawater-properties of InternScience/scp.
Open the folder on GitHubat commit cea5398
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in InternScience/scp, which our catalogue first saw on October 7, 2026.
Oceanographic Seawater Properties next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Oceanographic Seawater Properties this skillInternScience/scp | 170 | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| AstropyzLanqing/codex-claude-academic-skills | 4.7k | 13 repos | ~2.9k | Automated safety check: Pass | BSD-3-Clause | |
| PymatgenzLanqing/codex-claude-academic-skills | 4.7k | 11 repos | ~5k | Automated safety check: Pass | MIT | |
| Cantera Ignition DelayK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Weathertrpc-group/trpc-agent-go | 1.9k | 8 repos | ~591 | Automated safety check: Pass | Apache-2.0 | |
| Pymol VisualizationChatMol/ChatMol | 373 | — | ~1.2k | Automated safety check: Pass | MIT |
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Categories
Calculate seawater thermodynamic properties using TEOS-10 standard including density, salinity, sound speed, and freezing temperature for oceanography. Oceanographic Seawater Properties is an agent skill from InternScience/scp. Calculate seawater thermodynamic properties using TEOS-10 standard including density, salinity, sound speed, and freezing temperature for oceanography.
Oceanographic Seawater Properties fits situations like: tasks that involve Physical and earth sciences.
Run `npx skills add InternScience/scp --skill oceanographic-seawater-properties -a claude-code`. Or copy the skill folder (skills/oceanographic-seawater-properties in InternScience/scp) into .claude/skills/oceanographic-seawater-properties in your project. Claude Code loads it when a task matches its description.
Run `npx skills add InternScience/scp --skill oceanographic-seawater-properties -a codex`. Or copy the skill folder (skills/oceanographic-seawater-properties in InternScience/scp) into .agents/skills/oceanographic-seawater-properties in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add InternScience/scp --skill oceanographic-seawater-properties -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/oceanographic-seawater-properties, .gemini/skills/oceanographic-seawater-properties, .github/skills/oceanographic-seawater-properties and .opencode/skills/oceanographic-seawater-properties in your project.
SKILL.md names no scripts, command-line tools or credentials: Oceanographic Seawater Properties is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Oceanographic Seawater Properties is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Oceanographic Seawater Properties: Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars), Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars) and Weather (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
InternScience (a GitHub organization) maintains it in InternScience/scp, which has 170 GitHub stars. The repository holds 73 skills in this directory. The repository was last updated on June 3, 2026.
Source: InternScience/scp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.