attack-simulation SKILL.md skillA
attack-simulation from miosa-osa/osa is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add miosa-osa/osa/attack-simulation@v1.0.200Pins v1.0.200 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- miosa-osa/osa
- Path
priv/skills/attack-simulation/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.200, committed Sep 14, 2026
- Size
- 2,267 bytes
- Repository stars
- 78
- License
- Apache-2.0
Run cyber defense attack simulations against isolated lab targets, compare detection gaps, apply a lab patch and rerun to prove defenses work. Use for purple team exercises, simulate attacks, sandbox targets, or test a fix.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Attack Simulation
## Workflow
1. Call `cyber_defense` with `{"action":"scenarios"}`; select an implemented scenario, not a real address.
2. Check Docker availability and the preinstalled `python:3.12-slim` image. Missing dependencies are blocked prerequisites, never a successful simulation.
3. Run the worked loop below. Preserve the complete JSON evidence, including baseline attack and benign behavior.
4. Compare the attack result, benign control, and detector events before and after remediation. A stopped attack alone is insufficient if normal use breaks.
5. Run `remediation: ineffective` as a failed-fix control. It must not count as verified.
6. Report cleanup status and every unsupported production assumption. The embedded detector demonstrates lab behavior, not deployed SIEM coverage.
## Worked example and prerequisites
Read [references/workflow.md](references/workflow.md) before execution. Use only registered OSA tools named in the frontmatter; command examples run through `shell_execute`. Check `command -v` for each external executable on the actual target. Optional packages, external collectors and vendor accounts are not bundled or presumed installed.
…Read the whole file at its exact version.
How to install
mdr add miosa-osa/osa/attack-simulation@sha256:1013fff9c10b3d62The line at the top of this page pins the label v1.0.200, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_anp6g2xag7xvpusu)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 14, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2267 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
miosa-osa/osa · 78 stars · license Apache-2.0 · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_anp6g2xag7xvpusu GET https://markdownregistry.com/api/v1/resolve?ref=miosa-osa/osa/attack-simulation GET https://markdownregistry.com/api/v1/blob/1013fff9c10b3d62025296fb6d90a67ea52d231087345b6f927cdf80b7558dc8
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.