AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Detects and removes infostealer malware (credential stealers, data exfiltrators) via full-system file search, cryptographic hashing, and public threat-intelligence cross-checks (VirusTotal, MalwareBazaar). Primary method is always custom hash-based detection. Windows Defender (or any platform-native AV) is allowed **only when necessary** (e.g. inconclusive hashes or deep remediation) and **must never be the default option**. The agent must exhaust the custom workflow first. Works on Windows/macOS/Linux.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Tech Stack Target / Version: Windows Defender CLI, VirusTotal, MalwareBazaar, Python 3.8+, and cross-platform shell tooling.
This skill gives OpenClaw a complete workflow to search every file on the system, identify infostealer indicators, compute secure hashes, and verify them against live public databases.
Core principles (strict)
When to activate automatically
"My passwords are being stolen"
"Scan for infostealer / stealer malware"
"Check if RedLine / Vidar / Lumma is on my PC"
"Clean my system" (but follow custom-first rule)
Leverage native parallel subagent dispatch and 200k+ context windows where available.
VT_API_KEY)scripts/hash-checker.py)Run targeted discovery (fast & effective for infostealers):
# Windows (PowerShell)
Get-ChildItem -Path "$env:TEMP","$env:APPDATA","$env:LOCALAPPDATA","C:\ProgramData","C:\Users\*\AppData" -Recurse -File -Include *.exe,*.dll,*.bat,*.ps1,*.vbs,*.js -ErrorAction SilentlyContinue | Select-Object FullName,LastWriteTime,Length
# macOS / Linux
find /tmp ~/Library /Library /Users/*/Library /var/tmp -type f \( -name "*.exe" -o -name "*.dylib" -o -name "*.so" -o -name "*.sh" \) -mtime -30 2>/dev/null
Flag files meeting suspicious criteria (random names in Temp/AppData, recent creations <5 MB in browser folders, etc.).
Use the bundled helper script (scripts/hash-checker.py):
#!/usr/bin/env python3
import hashlib, sys, json
from pathlib import Path
def sha256_file(file_path):
try:
h = hashlib.sha256()
with open(file_path, "rb") as f:
for chunk in iter(lambda: f.read(4096), b""):
h.update(chunk)
return h.hexdigest()
except:
return None
if __name__ == "__main__":
paths = sys.argv[1:] or [input("Enter file or directory: ")]
results = {}
for p in paths:
p = Path(p)
if p.is_file():
h = sha256_file(p)
if h: results[str(p)] = h
elif p.is_dir():
for f in p.rglob("*"):
if f.is_file() and f.stat().st_size < 50_000_000:
h = sha256_file(f)
if h: results[str(f)] = h
print(json.dumps(results, indent=2))
For each SHA-256 hash:
curl -s --request GET "https://www.virustotal.com/api/v3/files/${HASH}" --header "x-apikey: $VT_API_KEY"
Verdict rules (strict):
Create timestamped quarantine folder and move flagged files. Registry/startup cleanup if needed. Never delete without showing the user the exact list + VT links.
After completing Steps 1–5: If hashes are inconclusive, files are locked, or suspicion remains extremely high (and you document the reason), then and only then escalate to platform-native AV.
Windows Defender (official CLI – never first choice):
# Full system scan (run from elevated prompt)
"%ProgramFiles%\Windows Defender\MpCmdRun.exe" -Scan -ScanType 2
# Quick scan
"%ProgramFiles%\Windows Defender\MpCmdRun.exe" -Scan -ScanType 1
# Scan specific folder
"%ProgramFiles%\Windows Defender\MpCmdRun.exe" -Scan -ScanType 3 -File "C:\Path\To\Quarantine"
Linux/macOS fallback (ClamAV – only if installed and requested):
freshclam
clamscan -r --move="$QUARANTINE" /path/to/scan
Microsoft Safety Scanner (portable, one-time use): Download from official Microsoft link only if Defender is insufficient.
Strict rule: The agent must never run any AV command as the first action. Always complete custom hash workflow first and obtain explicit user confirmation before AV escalation.
Re-run hash scan + quick Defender check (if AV was used). Reboot and monitor.
Before claiming "skill applied successfully":
clamscan -r --move=/quarantine (open-source reference)This skill is custom-detection-first by design. Windows Defender (or any AV) is a conditional tool only – never the default.
Invoke with: /infostealer-malware-detector or describe the issue.
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
$CODEX_HOME/skills/infostealer-malware-detector and restart Codex after major changes.Preferred MCP Server: None required
SKILL.md, bundled references or scripts, and manual verification. Show the exact commands, evidence, and final checks you used before concluding."まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and
日本語の概要は準備中です。原文の説明を表示しています。
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견 반영, 답변서 점검, AI 사용 고지.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.
日本語の概要は準備中です。原文の説明を表示しています。
Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXiv, PhilSci-Archive). Use when users want to: (1) plan a paper on a specific topic, (2) identify research gaps and assess originality, (3) develop optimized paper outlines, (4) prepare for preprint submission, or (5) understand platform requirements and writing standards. Triggered by phrases like 'plan a paper on,' 'help me design a paper about,' 'identify research gaps in,' 'is this idea original,' or when users need structured research planning. The skill guides through three phases: Platform Analysis (identifying target venue and studying sample papers), Theoretical Framework (AI-driven literature search and gap identification), and Outline Optimization (structured design with reviewer-perspective self-assessment). Each phase includes quality evaluation standards and validation checkpoints.
日本語の概要は準備中です。原文の説明を表示しています。