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SKILL verified MIT Self-run

Sciomc

skill-jmstar85-oh-my-githubcopilot-sciomc · by jmstar85

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Install

$ agentstack add skill-jmstar85-oh-my-githubcopilot-sciomc

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-jmstar85-oh-my-githubcopilot-sciomc)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.