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 adriannoes/awesome-agentic-ai --skill containing-active-breachgit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/containing-active-breach)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/containing-active-breach"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/containing-active-breach/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/adriannoes/awesome-agentic-ai/containing-active-breach"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/containing-active-breach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 170 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- medium Excessive Agency · line 188 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00073 | $0.02248 |
| Opus 5.5 | $0.00029 | $0.00899 |
| Sonnet 5.5 | $0.00015 | $0.00450 |
| Haiku 4.5 | $0.00007 | $0.00225 |
Grade A, and why
containing-active-breach 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.
This is a copy
100% identical to containing-active-breach — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Containing Active Breaches
When to Use
- A confirmed intrusion is in progress with an active adversary on the network
- Malware is spreading laterally across endpoints or servers
- A compromised account is being used for unauthorized access to systems
- Ransomware encryption has been detected and is actively propagating
- An attacker has established command-and-control communications from internal hosts
Do not use for post-incident cleanup when the adversary is no longer active; use eradication procedures instead.
Prerequisites
- Confirmed incident classification with P1 or P2 severity from triage
- EDR console access with host isolation capabilities (CrowdStrike Falcon, Microsoft Defender for Endpoint, SentinelOne)
- Network firewall and switch management access for segmentation
- Active Directory or identity provider administrative access for credential actions
- Pre-approved containment authority documented in the incident response plan
- Evidence preservation plan to avoid destroying forensic artifacts during containment
Workflow
Step 1: Assess Containment Scope
Before taking containment actions, map the full scope of compromise to avoid partial containment that alerts the adversary:
- Identify all confirmed compromised hosts via EDR telemetry and SIEM correlation
- Map lateral movement paths using authentication logs (Windows Event ID 4624 Type 3 and Type 10)
- Identify all compromised credentials (check for pass-the-hash, Kerberoasting, DCSync activity)
- Determine C2 channels (beacon intervals, domains, IPs, protocols)
- Assess whether the adversary has domain admin or equivalent privileges
Containment Scope Assessment:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Compromised Hosts: 5 (WKSTN-042, WKSTN-087, SRV-FILE01, SRV-DC02, WKSTN-103)
Compromised Accounts: 3 (jsmith, svc-backup, admin-tier0)
C2 Channels: HTTPS beacon to 185.220.x.x every 60s ± 15% jitter
Lateral Movement: PsExec via svc-backup, RDP via admin-tier0
Adversary Privilege: Domain Admin (admin-tier0 compromised)
Data at Risk: Finance share (\\SRV-FILE01\finance$) accessed
What ships with it
3 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 · 232 lines · 73 tokens per session scan A 3e8883aa791d
containing-active-breach is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (72 stars, last pushed 2d ago), licensed MIT. It adds 73 tokens to every session and 2,248 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to containing-active-breach, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
containing-active-breach
Executes containment strategies to stop active adversary operations and prevent lateral movement during a confirmed security breach. Implements short-term and long-term containment using network segmentation, endpoint isolation, credential revocation, and access control modifications. Activates for requests involving…
containing-active-breach
Executes containment strategies to stop active adversary operations and prevent lateral movement during a confirmed security breach. Implements short-term and long-term containment using network segmentation, endpoint isolation, credential revocation, and access control modifications. Activates for requests involving…
containing-active-breach
Executes containment strategies to stop active adversary operations and prevent lateral movement during a confirmed security breach. Implements short-term and long-term containment using network segmentation, endpoint isolation, credential revocation, and access control modifications. Activates for requests involving…
AI/ML Model Testing
Testing machine learning models including accuracy validation, bias detection, drift monitoring, A/B testing, and model regression testing.
greenfield
Parallel persona planning for new projects. Research agent runs first to build domain context, then Architect, PM, and Security agents run in parallel. Synthesis agent combines all perspectives into a detailed GSD-style PLAN.md with Tensions section.
brownfield-drift
Enforces architecture boundaries defined in PLAN.md. Use when a PR crosses module/service boundaries, when the dev asks "are we following the architecture?", or as a scheduled architecture health check. Not for querying what a module does — use brownfield-chat for that.