Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gaelic-ghost/socket --skill prepare-isolated-analysis-labgit clone --depth 1 https://github.com/gaelic-ghost/socketWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gaelic-ghost/socket/prepare-isolated-analysis-lab)<a href="https://agentmods.dev/skills/gaelic-ghost/socket/prepare-isolated-analysis-lab"><img src="https://agentmods.dev/badge/skills/gaelic-ghost/socket/prepare-isolated-analysis-lab/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gaelic-ghost/socket/prepare-isolated-analysis-lab"><img src="https://agentmods.dev/badge/skills/gaelic-ghost/socket/prepare-isolated-analysis-lab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.00832 |
| Opus 5.5 | $0.00018 | $0.00333 |
| Sonnet 5.5 | $0.00009 | $0.00166 |
| Haiku 4.5 | $0.00005 | $0.00083 |
Grade A, and why
prepare-isolated-analysis-lab scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prepare Isolated Analysis Lab
Overview
Turn the boundary selected by select-analysis-isolation into a concrete, reviewable control profile before executing untrusted content. Evidence collection and analysis remain owned by their specialist skills.
Read security-lab-control-profile.md before approving a lab.
Workflow
- Consume the approved isolation decision.
- Record authorization, unresolved question, target OS/architecture/privilege, expected behavior, selected boundary, host/guest builds, and VM artifacts that may affect conclusions.
- Select one profile.
- offline static tooling
- monitored Linux dynamic analysis
- monitored macOS dynamic analysis
- network-service research
- nested-virtualization experiment
- Verify a trusted base.
- Record image/restore provenance and digest, guest build, tool versions, clock strategy, resource limits, baseline state or hashes, reset mechanism, and virtualization artifacts that may change observed behavior.
- Remove ambient authority.
- Default host folders/home sharing, clipboard, drag/drop, sockets, SSH agent, browser profiles, cloud credentials, Apple accounts, signing identities, USB, microphone, camera, and unrelated devices to absent.
- Constrain and observe networking.
- Default to offline or simulated services.
- When external connectivity is authorized, record destinations, routes, DNS, monitoring/capture, ingress, egress, and forwarded ports.
- Define a narrow evidence path.
- Name the guest staging location, allowed artifact types, host export directory, hashing and scanning steps, size limits, and owner.
- Run a preflight without executing the target.
- Verify accounts, shares, clipboard, devices, sockets, credentials, network, monitoring, clock, baseline, stop controls, export path, and reset operation.
- Hand the prepared-lab record to
perform-dynamic-malware-analysisor the relevant observation skill. - Verify teardown.
- Stop the workload; export only intended evidence; hash/scan it; revert or remove disposable state; revoke temporary credentials; remove shares/ports/helpers; confirm no workload or integration remains active.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 59 lines · 46 tokens per session scan A 2235ab927cce
prepare-isolated-analysis-lab is a skill published in the GitHub repository gaelic-ghost/socket (7 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 832 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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