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Agent skill

Sciomc

by jmstar85 in jmstar85/oh-my-githubcopilot

Coordinate bounded scientist-style research analyses for data, hypotheses, and evidence.

MITAuto-check passed

Install Sciomc

skills CLI
$ npx skills add jmstar85/oh-my-githubcopilot --skill sciomc -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jmstar85/oh-my-githubcopilot sciomc --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jmstar85/oh-my-githubcopilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/sciomc .claude/skills/sciomc && rm -rf skills-src

Use ~/.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/

Facts

Skill name
sciomc
GitHub stars
158
Token cost
~256 tokens
SKILL.md length
107 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Coordinate bounded scientist-style research analyses for data, hypotheses, and evidence.

  • Works in 5 steps: Define the research question, available… → Split into 3–5 independent analysis… → Run or delegate each facet only when it… → …
  • SKILL.md covers Workflow and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sciomc is an agent skill from jmstar85/oh-my-githubcopilot. Coordinate bounded scientist-style research analyses for data, hypotheses, and evidence. Activate when: sciomc, scientist research, research swarm, scientific analysis.

Its SKILL.md is about 260 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Ultimate Harness Automation for Github Copilot on VS Code. It provides 28+ specialized agents, 30+ reusable skills, hooks, guardrails, and etc. The licence is MIT.

Example prompts

  • “/sciomc”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Define the research question, available data, constraints, and success criteria.
  2. Split into 3–5 independent analysis facets at most.
  3. Run or delegate each facet only when it has a distinct hypothesis or method.
  4. Compare findings, contradictions, and confidence.
  5. Produce a final synthesis with evidence, limitations, and next experiments.

What it can do on your machine

Read from SKILL.md and the folder at commit 12b2c29. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sciomc loads about 256 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 107 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~256

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from jmstar85/oh-my-githubcopilot at commit 12b2c29, republished under its MIT licence (© jmstar85). 107 words, ~256 tokens.

Download SKILL.mdSave it as .claude/skills/sciomc/SKILL.md (or your agent's skills folder).
name
sciomc
description
Coordinate bounded scientist-style research analyses for data, hypotheses, and evidence. Activate when: sciomc, scientist research, research swarm, scientific analysis.
argument-hint
<research question or dataset>

SciOMC

OMG adapted scope: The name stays sciomc for upstream discoverability, but this is an OMG-adapted degraded port. Use 3–5 bounded analysis facets, not 20-way parallel parity.

Workflow

  1. Define the research question, available data, constraints, and success criteria.
  2. Split into 3–5 independent analysis facets at most.
  3. Run or delegate each facet only when it has a distinct hypothesis or method.
  4. Compare findings, contradictions, and confidence.
  5. Produce a final synthesis with evidence, limitations, and next experiments.

Rules

  • Do not claim statistical certainty without data and method evidence.
  • Keep concurrency expectations explicit and bounded.
  • Prefer reproducible commands or notebooks for data work when available.

© jmstar85, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .github/skills/sciomc of jmstar85/oh-my-githubcopilot.

Open the folder on GitHubat commit 12b2c29

Compare with similar skills

Sciomc 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.

Sciomc compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sciomc this skilljmstar85/oh-my-githubcopilot158—~256Automated safety check: PassMIT
Agent Consensus Coordinatorruvnet/ruflo74k3 repos~3.2kAutomated safety check: PassMIT
Agent Mesh Coordinatorruvnet/ruflo74k3 repos~3.2kAutomated safety check: PassMIT
Agent Queen Coordinatorruvnet/ruflo74k3 repos~1.3kAutomated safety check: PassMIT
Agent Adaptive Coordinatorruvnet/ruflo74k2 repos~4kAutomated safety check: PassMIT
Agent Hierarchical Coordinatorruvnet/ruflo74k2 repos~2.8kAutomated safety check: PassMIT

Similar skills

  • Agent Consensus Coordinator

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    Agent skill for consensus-coordinator - invoke with $agent-consensus-coordinator

    74k GitHub starsUsed in 3 repos~3.2k tokens
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All 13 skills in this repo

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  • Configure Notifications

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  • Deepinit

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  • External Context

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  • Hud

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Questions about Sciomc

What does Sciomc do?

Coordinate bounded scientist-style research analyses for data, hypotheses, and evidence. Sciomc is an agent skill from jmstar85/oh-my-githubcopilot. Coordinate bounded scientist-style research analyses for data, hypotheses, and evidence.

How do I install Sciomc in Claude Code?

Run `npx skills add jmstar85/oh-my-githubcopilot --skill sciomc -a claude-code`. Or copy the skill folder (.github/skills/sciomc in jmstar85/oh-my-githubcopilot) into .claude/skills/sciomc in your project. Claude Code loads it when a task matches its description.

How do I install Sciomc in Codex?

Run `npx skills add jmstar85/oh-my-githubcopilot --skill sciomc -a codex`. Or copy the skill folder (.github/skills/sciomc in jmstar85/oh-my-githubcopilot) into .agents/skills/sciomc in your project. Codex loads it when a task matches its description.

Can I use Sciomc in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jmstar85/oh-my-githubcopilot --skill sciomc -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sciomc, .gemini/skills/sciomc, .github/skills/sciomc and .opencode/skills/sciomc in your project.

What does Sciomc need to run?

SKILL.md names no scripts, command-line tools or credentials: Sciomc is instructions for the agent only.

Does Sciomc access the network?

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.

Is Sciomc safe to install?

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.

What licence does Sciomc use?

Sciomc is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sciomc use?

About 256 tokens (SKILL.md is roughly 1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sciomc?

Skills that share tags, products or a category with Sciomc: Agent Consensus Coordinator (ruvnet/ruflo, 74k stars), Agent Mesh Coordinator (ruvnet/ruflo, 74k stars), Agent Queen Coordinator (ruvnet/ruflo, 74k stars) and Agent Adaptive Coordinator (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sciomc?

jmstar85 (a GitHub user) maintains it in jmstar85/oh-my-githubcopilot, which has 158 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on May 20, 2026.

Source: jmstar85/oh-my-githubcopilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.