coordinate-external-ag…
Coordinate independently operated external agents through durable handoffs. Use when work crosses hosts, sessions, accounts,…
Observe suspicious content in a disposable environment. Use when execution, process ancestry, file changes, persistence, network behavior, payloads, or user interaction need measurement after static analysis with isolation and teardown.
Claude Code
$ npx -y skills add gaelic-ghost/socket --skill perform-dynamic-malware-analysis --agent claude-code
Codex
$ npx skills add gaelic-ghost/socket --skill perform-dynamic-malware-analysis -a codex -y
Cursor
$ npx skills add gaelic-ghost/socket --skill perform-dynamic-malware-analysis -a cursor -y
Gemini CLI
$ npx skills add gaelic-ghost/socket --skill perform-dynamic-malware-analysis -a gemini-cli -y
GitHub Copilot
$ npx skills add gaelic-ghost/socket --skill perform-dynamic-malware-analysis -a github-copilot -y
OpenCode
$ npx skills add gaelic-ghost/socket --skill perform-dynamic-malware-analysis -a opencode -y
Windsurf
$ npx skills add gaelic-ghost/socket --skill perform-dynamic-malware-analysis -a windsurf -y
name: perform-dynamic-malware-analysis description: Observe suspicious content in a disposable environment. Use when execution, process ancestry, file changes, persistence, network behavior, payloads, or user interaction need measurement after static analysis with isolation and teardown.
Execute only inside an environment chosen by `select-analysis-isolation` and preflighted by `prepare-isolated-analysis-lab`, with an observation plan that can distinguish artifact behavior from baseline noise. Preserve the exact sample, prepared-lab record, and environment identity.
Read [references/dynamic-observation-plan.md](references/dynamic-observation-plan.md) for baseline, stimulus, telemetry, and teardown fields.
1. Define the unresolved question and minimum stimulus. 2. Verify isolation.
3. Capture a baseline.
4. Execute one controlled step.
5. Observe behavior.
6. Repeat only to answer a named question.
7. Export and tear down.
Return the prepared-lab identity, environment/baseline identity, stimulus, observed timeline, artifacts and indicators, absent expected behavior, virtualization/evasion/coverage limits, conclusion, and teardown verification.
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Ask which skill or flow fits your situation. A router over the skills in this repo.