Iron Proxy Gateway for NanoClaw
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
Respond to a malware incident following PICERL methodology. An agent skill from dandye/ai-runbooks.
$ npx skills add dandye/ai-runbooks --skill respond-malware -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dandye/ai-runbooks respond-malware --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/respond-malware .claude/skills/respond-malware && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "respond-malware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-malware into .claude/skills/respond-malware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-malware", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/dandye/ai-runbooks/tree/main/skills/respond-malwareType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add dandye/ai-runbooks --skill respond-malware -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dandye/ai-runbooks respond-malware --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/respond-malware .agents/skills/respond-malware && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "respond-malware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-malware into .agents/skills/respond-malware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-malware", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dandye/ai-runbooks --skill respond-malware -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dandye/ai-runbooks respond-malware --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/respond-malware .cursor/skills/respond-malware && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "respond-malware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-malware into .cursor/skills/respond-malware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-malware", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/dandye/ai-runbooks.git --path skills/respond-malware--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add dandye/ai-runbooks --skill respond-malware -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dandye/ai-runbooks respond-malware --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/respond-malware .gemini/skills/respond-malware && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "respond-malware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-malware into .gemini/skills/respond-malware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-malware", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install dandye/ai-runbooks respond-malwareInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add dandye/ai-runbooks --skill respond-malware -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/respond-malware .github/skills/respond-malware && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "respond-malware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-malware into .github/skills/respond-malware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-malware", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dandye/ai-runbooks --skill respond-malware -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dandye/ai-runbooks respond-malware --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/respond-malware .opencode/skills/respond-malware && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "respond-malware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-malware into .opencode/skills/respond-malware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-malware", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
respond-malwareRespond to a malware incident following PICERL methodology. An agent skill from dandye/ai-runbooks.
Respond Malware is an agent skill from dandye/ai-runbooks. Respond to a malware incident following PICERL methodology. Use when malware is detected on endpoints. Orchestrates triage, containment, eradication, and recovery. Works with triage-malware skill for analysis.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 72a6863. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Respond Malware loads about 1.5k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 539 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from dandye/ai-runbooks at commit 72a6863, republished under its Apache-2.0 licence (© dandye). 539 words, ~1,454 tokens.
.claude/skills/respond-malware/SKILL.md (or your agent's skills folder).Structured workflow for responding to suspected malware incidents using the PICERL model.
CASE_ID - SOAR case ID for the incidentALERT_GROUP_IDENTIFIERS - Alert group identifiers from SOARINITIAL_INDICATORS - Details from initial alerts:After completing each phase, you MUST report these outputs:
| Output | Description |
|---|---|
AFFECTED_HOSTS | Hosts with confirmed malware |
MALWARE_SAMPLES | File hashes requiring triage/analysis |
MALWARE_IOCS | Network indicators (IPs, domains, URLs) |
AFFECTED_USERS | Users who executed/accessed malware |
| Output | Description |
|---|---|
ISOLATED_HOSTS | Hosts successfully isolated from network |
BLOCKED_IOCS | IOCs blocked at firewall/proxy |
| Output | Description |
|---|---|
CLEANED_HOSTS | Hosts with malware removed |
REMOVED_PERSISTENCE | Persistence mechanisms removed |
| Output | Description |
|---|---|
RESTORED_HOSTS | Hosts restored to operational state |
VALIDATION_STATUS | Post-recovery scan results |
Step 2.1: Initial Triage
Use /triage-alert with CASE_ID for initial assessment.
secops-soar.get_case_full_details(case_id=CASE_ID)Use /check-duplicates.
Step 2.2: Malware Triage
If file hash is primary indicator:
Use /triage-malware:
/triage-malware FILE_HASH=abc123 CASE_ID=1234This provides:
Step 2.3: IOC Enrichment
For other key IOCs (IPs, domains, URLs):
Use /enrich-ioc for each.
Step 2.4: Initial Scope Assessment
Compile:
AFFECTED_ENDPOINTS - Hosts with malwareAFFECTED_USERS - Users who executed/accessedMALICIOUS_IOCs - Network indicatorsUse /document-in-case with findings.
Step 3.1: Endpoint Isolation
For each endpoint in AFFECTED_ENDPOINTS:
Use /confirm-action:
"Isolate endpoint [HOSTNAME] from network?"
If confirmed, execute isolation via EDR.
Step 3.2: Network IOC Containment
For each IOC in MALICIOUS_IOCs:
Use /confirm-action:
"Block [IOC_TYPE] [VALUE] at firewall/proxy?"
If confirmed, implement blocks.
Step 3.3: User Account Containment
If compromised user involved:
Trigger /respond-compromised-account
Step 3.4: Verify Containment
Monitor for continued activity:
secops-mcp.search_security_events(
text="Activity from contained IOCs or endpoints",
hours_back=1
)Use /document-in-case with containment status.
Step 4.1: Identify Persistence
From /triage-malware results and GTI behavior summary, identify:
Step 4.2: Remove Malware & Persistence
(Requires EDR/endpoint tools)
Execute removal plan:
Step 4.3: Scan for Residual Infection
(Requires EDR/AV tools)
Perform thorough scans post-eradication.
Use /document-in-case with eradication results.
Step 5.1: Determine Recovery Strategy
Based on severity and admin rights involved:
| Factor | Rebuild | Clean |
|---|---|---|
| Admin rights compromised | ✅ | ❌ |
| Unknown malware | ✅ | ❌ |
| Known commodity malware | Consider | ✅ |
| High confidence eradication | Consider | ✅ |
Step 5.2: Execute Recovery
(Involves IT Ops/System Admins)
Step 5.3: Monitor Recovered Systems
Closely monitor for 24-72 hours post-recovery:
Step 5.4: Lift Containment
Gradually remove isolation once confidence is high.
Use /document-in-case with recovery status.
Use /generate-report with:
Conduct review:
| Phase | Key Question | Action |
|---|---|---|
| Identification | What is it? | /triage-malware |
| Identification | Where is it? | SIEM search |
| Containment | Stop the spread | Isolate endpoints |
| Containment | Block C2 | Block network IOCs |
| Eradication | Remove it | EDR remediation |
| Recovery | Restore ops | Rebuild or clean |
© dandye, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/respond-malware of dandye/ai-runbooks.
Open the folder on GitHubat commit 72a6863
Respond Malware next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Respond Malware this skilldandye/ai-runbooks | 127 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Iron Proxy Gateway for NanoClawnanocoai/nanoclaw | 31k | — | ~4.6k | Automated safety check: Notes | MIT | |
| GitHub Actions Supply Chain Pinningasyncapi/generator | 1.1k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| AWS Cloud Advisortech-leads-club/agent-skills | 7k | — | ~2.1k | Automated safety check: Pass | CC-BY-4.0 | |
| KubeShark for KubernetesLukasNiessen/kubernetes-skill | 444 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills | 148 | 1 repos | ~2.6k | Automated safety check: Notes | Apache-2.0 |
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
asyncapi/generator
A skill your agent uses when editing, adding, or reviewing any file under .github/workflows/, or when a CI step installs a CLI tool (npm i -g, npx, pipx, uses: /setup-).
tech-leads-club/agent-skills
Answers AWS architecture, security and service-selection questions by searching AWS documentation through MCP tools first, then adapting advice to your stack and team.
LukasNiessen/kubernetes-skill
Keeps Kubernetes manifests, Helm charts and policies grounded by diagnosing six failure modes, such as insecure defaults and API drift, and loading only matching references.
aliyun/alibabacloud-ecs-troubleshoot-skills
Linux 用户态安全入侵检测与取证工具,专为 AI Agent 设计。自动判断服务器是否被入侵, 提供完整证据链和可执行修复建议。51 个安全分析器覆盖进程/网络/认证/持久化/Rootkit/ 恶意软件/内存取证/容器逃逸等 12 类检测维度,10 个数据采集器全面采集系统状态, 映射 103+ MITRE ATT&CK 技术,支持 standalone/docker/k8s 三种部署模式。
hedioum/Hedioum-Pool-Tunnel
Audit and harden the Hedioum Pool Tunnel against nation-state DPI and censorship, as a filtering/anti-censorship expert would.
dandye/ai-runbooks
Close a case or alert with proper reason and documentation. An agent skill from dandye/ai-runbooks.
dandye/ai-runbooks
Check for existing SIEM alerts and case management entries related to IOCs.
dandye/ai-runbooks
Perform exhaustive analysis of a critical IOC. An agent skill from dandye/ai-runbooks.
dandye/ai-runbooks
Enrich an IOC (IP, domain, hash, URL) with threat intelligence.
dandye/ai-runbooks
Search for existing cases related to specific indicators or entities.
dandye/ai-runbooks
Complete Tier 1 triage workflow. An agent skill from dandye/ai-runbooks.
Categories
Respond to a malware incident following PICERL methodology. An agent skill from dandye/ai-runbooks. Respond Malware is an agent skill from dandye/ai-runbooks. Respond to a malware incident following PICERL methodology.
Respond Malware fits situations like: malware is detected on endpoints.
Run `npx skills add dandye/ai-runbooks --skill respond-malware -a claude-code`. Or copy the skill folder (skills/respond-malware in dandye/ai-runbooks) into .claude/skills/respond-malware in your project. Claude Code loads it when a task matches its description.
Run `npx skills add dandye/ai-runbooks --skill respond-malware -a codex`. Or copy the skill folder (skills/respond-malware in dandye/ai-runbooks) into .agents/skills/respond-malware in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dandye/ai-runbooks --skill respond-malware -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/respond-malware, .gemini/skills/respond-malware, .github/skills/respond-malware and .opencode/skills/respond-malware in your project.
SKILL.md names no scripts, command-line tools or credentials: Respond Malware is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Respond Malware is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Respond Malware: Iron Proxy Gateway for NanoClaw (nanocoai/nanoclaw, 31k stars), GitHub Actions Supply Chain Pinning (asyncapi/generator, 1.1k stars), AWS Cloud Advisor (tech-leads-club/agent-skills, 7k stars) and KubeShark for Kubernetes (LukasNiessen/kubernetes-skill, 444 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
dandye (a GitHub user) maintains it in dandye/ai-runbooks, which has 127 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on August 14, 2026.
Source: dandye/ai-runbooks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.