Speed
sickn33/agentic-awesome-skills
Launch RSVP speed reader for text
Calculate sound speed in seawater from practical salinity, temperature, and pressure using the Gibbs Seawater Oceanographic Toolbox.
$ npx skills add InternScience/scp --skill seawater-sound-speed-calculation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install InternScience/scp seawater-sound-speed-calculation --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/seawater-sound-speed-calculation .claude/skills/seawater-sound-speed-calculation && 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 "seawater-sound-speed-calculation" agent skill from https://github.com/InternScience/scp/tree/main/skills/seawater-sound-speed-calculation into .claude/skills/seawater-sound-speed-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seawater-sound-speed-calculation", 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/seawater-sound-speed-calculationType 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 seawater-sound-speed-calculation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install InternScience/scp seawater-sound-speed-calculation --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/seawater-sound-speed-calculation .agents/skills/seawater-sound-speed-calculation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "seawater-sound-speed-calculation" agent skill from https://github.com/InternScience/scp/tree/main/skills/seawater-sound-speed-calculation into .agents/skills/seawater-sound-speed-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seawater-sound-speed-calculation", 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 seawater-sound-speed-calculation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install InternScience/scp seawater-sound-speed-calculation --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/seawater-sound-speed-calculation .cursor/skills/seawater-sound-speed-calculation && 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 "seawater-sound-speed-calculation" agent skill from https://github.com/InternScience/scp/tree/main/skills/seawater-sound-speed-calculation into .cursor/skills/seawater-sound-speed-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seawater-sound-speed-calculation", 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/seawater-sound-speed-calculation--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 seawater-sound-speed-calculation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install InternScience/scp seawater-sound-speed-calculation --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/seawater-sound-speed-calculation .gemini/skills/seawater-sound-speed-calculation && 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 "seawater-sound-speed-calculation" agent skill from https://github.com/InternScience/scp/tree/main/skills/seawater-sound-speed-calculation into .gemini/skills/seawater-sound-speed-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seawater-sound-speed-calculation", 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 seawater-sound-speed-calculationInstalls 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 seawater-sound-speed-calculation -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/seawater-sound-speed-calculation .github/skills/seawater-sound-speed-calculation && 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 "seawater-sound-speed-calculation" agent skill from https://github.com/InternScience/scp/tree/main/skills/seawater-sound-speed-calculation into .github/skills/seawater-sound-speed-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seawater-sound-speed-calculation", 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 seawater-sound-speed-calculation -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 seawater-sound-speed-calculation --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/seawater-sound-speed-calculation .opencode/skills/seawater-sound-speed-calculation && 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 "seawater-sound-speed-calculation" agent skill from https://github.com/InternScience/scp/tree/main/skills/seawater-sound-speed-calculation into .opencode/skills/seawater-sound-speed-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seawater-sound-speed-calculation", 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.
seawater-sound-speed-calculationCalculate sound speed in seawater from practical salinity, temperature, and pressure using the Gibbs Seawater Oceanographic Toolbox.
Seawater Sound Speed Calculation is an agent skill from InternScience/scp. Calculate sound speed in seawater from practical salinity, temperature, and pressure using the Gibbs Seawater Oceanographic Toolbox.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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.
Seawater Sound Speed Calculation loads about 1.5k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 210 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). 210 words, ~1,502 tokens.
.claude/skills/seawater-sound-speed-calculation/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 OceanClient:
"""OceanGSW-Tool 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):
"""Establish connection and initialize session"""
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()
return True
except Exception as e:
print(f"✗ connect failure: {e}")
return False
async def disconnect(self):
"""Disconnect from server"""
try:
if self.session:
await self.session_ctx.__aexit__(None, None, None)
if hasattr(self, 'transport'):
await self.transport.__aexit__(None, None, None)
except Exception as e:
print(f"✗ disconnect error: {e}")
def parse_result(self, result):
"""Parse MCP tool call 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)}This workflow calculates sound speed in seawater using thermodynamic equations.
Workflow Steps:
Implementation:
## Initialize client
client = OceanClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/34/OceanGSW-Tool",
"<your-api-key>"
)
if not await client.connect():
print("connection failed")
exit()
## Input: Seawater properties
input_params = {
'SP': [35.0, 5.0], # Practical salinity (PSU)
't': [15.0, 10.0], # In-situ temperature (°C)
'p': [1000.0, 1000.0], # Pressure (dbar)
'lon': [120.0, 165.0], # Longitude (degrees East)
'lat': [30.0, 45.0] # Latitude (degrees North)
}
## Step 1: Calculate absolute salinity (SA)
result = await client.session.call_tool(
"gsw_example_absolute_salinity",
arguments={
"SP": input_params['SP'],
'p': input_params['p'],
'lon': input_params['lon'],
'lat': input_params['lat']
}
)
result_data = client.parse_result(result)
SA_result = result_data["st"]
print("Absolute Salinity:")
for i, sa in enumerate(SA_result):
print(f" SP={input_params['SP'][i]} → SA={sa:.4f} g/kg")
## Step 2: Calculate conservative temperature (CT)
result = await client.session.call_tool(
"gsw_example_conservative_temperature",
arguments={
"SA": SA_result,
't': input_params['t'],
'p': input_params['p']
}
)
result_data = client.parse_result(result)
CT_result = result_data["st"]
print("\nConservative Temperature:")
for i, ct in enumerate(CT_result):
print(f" t={input_params['t'][i]}°C → CT={ct:.4f}°C")
## Step 3: Calculate sound speed
result = await client.session.call_tool(
"gsw_example_sound_speed",
arguments={
"SA": SA_result,
'CT': CT_result,
'p': input_params['p']
}
)
result_data = client.parse_result(result)
sound_speed_result = result_data["st"]["sound_speed"]
print("\nSound Speed Results:")
for i, speed in enumerate(sound_speed_result):
print(f"{i+1}. SA={SA_result[i]:.2f} g/kg, CT={CT_result[i]:.2f}°C, p={input_params['p'][i]} dbar")
print(f" Sound speed: {speed:.2f} m/s\n")
await client.disconnect()OceanGSW-Tool Server:
gsw_example_absolute_salinity: Calculate absolute salinity
SP (list): Practical salinity (PSU)p (list): Pressure (dbar)lon (list): Longitude (degrees East)lat (list): Latitude (degrees North)gsw_example_conservative_temperature: Calculate conservative temperature
SA (list): Absolute salinity (g/kg)t (list): In-situ temperature (°C)p (list): Pressure (dbar)gsw_example_sound_speed: Calculate sound speed
SA (list): Absolute salinity (g/kg)CT (list): Conservative temperature (°C)p (list): Pressure (dbar)Input:
SP: Practical salinity (0-42 PSU typical range)t: In-situ temperature (-2 to 40°C)p: Sea pressure (0-11000 dbar)lon: Longitude (-180 to 180°E)lat: Latitude (-90 to 90°N)Output:
© 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/seawater-sound-speed-calculation 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.
Seawater Sound Speed Calculation 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 |
|---|---|---|---|---|---|---|
| Seawater Sound Speed Calculation this skillInternScience/scp | 170 | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Speedsickn33/agentic-awesome-skills | 47k | 2 repos | ~447 | Automated safety check: Pass | MIT | |
| Mock Best Practicesthedaviddias/Front-End-Checklist | 74k | — | ~425 | Automated safety check: Pass | MIT | |
| Soundhashgraph-online/awesome-codex-plugins | 1.3k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Interactivity Best Practicesremotion-dev/remotion | 63k | — | ~181 | Automated safety check: Pass | Custom licence | |
| Eol Resistor Calculatorsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.5k | Automated safety check: Pass | MIT |
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Calculate sound speed in seawater from practical salinity, temperature, and pressure using the Gibbs Seawater Oceanographic Toolbox. Seawater Sound Speed Calculation is an agent skill from InternScience/scp. Calculate sound speed in seawater from practical salinity, temperature, and pressure using the Gibbs Seawater Oceanographic Toolbox.
Run `npx skills add InternScience/scp --skill seawater-sound-speed-calculation -a claude-code`. Or copy the skill folder (skills/seawater-sound-speed-calculation in InternScience/scp) into .claude/skills/seawater-sound-speed-calculation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add InternScience/scp --skill seawater-sound-speed-calculation -a codex`. Or copy the skill folder (skills/seawater-sound-speed-calculation in InternScience/scp) into .agents/skills/seawater-sound-speed-calculation 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 seawater-sound-speed-calculation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seawater-sound-speed-calculation, .gemini/skills/seawater-sound-speed-calculation, .github/skills/seawater-sound-speed-calculation and .opencode/skills/seawater-sound-speed-calculation in your project.
SKILL.md names no scripts, command-line tools or credentials: Seawater Sound Speed Calculation 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.
Seawater Sound Speed Calculation is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6k 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 Seawater Sound Speed Calculation: Speed (sickn33/agentic-awesome-skills, 47k stars), Mock Best Practices (thedaviddias/Front-End-Checklist, 74k stars), Sound (hashgraph-online/awesome-codex-plugins, 1.3k stars) and Interactivity Best Practices (remotion-dev/remotion, 63k 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.