Kubeshark Installer
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
Agent skill
Deploying Decoy Files For Ransomware Detection
Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time.
Install Deploying Decoy Files For Ransomware Detection
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill deploying-decoy-files-for-ransomware-detection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills deploying-decoy-files-for-ransomware-detection --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/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deploying-decoy-files-for-ransomware-detection .claude/skills/deploying-decoy-files-for-ransomware-detection && 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 "deploying-decoy-files-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-decoy-files-for-ransomware-detection into .claude/skills/deploying-decoy-files-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-decoy-files-for-ransomware-detection", 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/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-decoy-files-for-ransomware-detectionType 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 mukul975/Anthropic-Cybersecurity-Skills --skill deploying-decoy-files-for-ransomware-detection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills deploying-decoy-files-for-ransomware-detection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/deploying-decoy-files-for-ransomware-detection .agents/skills/deploying-decoy-files-for-ransomware-detection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deploying-decoy-files-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-decoy-files-for-ransomware-detection into .agents/skills/deploying-decoy-files-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-decoy-files-for-ransomware-detection", 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 mukul975/Anthropic-Cybersecurity-Skills --skill deploying-decoy-files-for-ransomware-detection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills deploying-decoy-files-for-ransomware-detection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/deploying-decoy-files-for-ransomware-detection .cursor/skills/deploying-decoy-files-for-ransomware-detection && 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 "deploying-decoy-files-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-decoy-files-for-ransomware-detection into .cursor/skills/deploying-decoy-files-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-decoy-files-for-ransomware-detection", 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/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/deploying-decoy-files-for-ransomware-detection--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 mukul975/Anthropic-Cybersecurity-Skills --skill deploying-decoy-files-for-ransomware-detection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills deploying-decoy-files-for-ransomware-detection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/deploying-decoy-files-for-ransomware-detection .gemini/skills/deploying-decoy-files-for-ransomware-detection && 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 "deploying-decoy-files-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-decoy-files-for-ransomware-detection into .gemini/skills/deploying-decoy-files-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-decoy-files-for-ransomware-detection", 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 mukul975/Anthropic-Cybersecurity-Skills deploying-decoy-files-for-ransomware-detectionInstalls 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 mukul975/Anthropic-Cybersecurity-Skills --skill deploying-decoy-files-for-ransomware-detection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/deploying-decoy-files-for-ransomware-detection .github/skills/deploying-decoy-files-for-ransomware-detection && 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 "deploying-decoy-files-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-decoy-files-for-ransomware-detection into .github/skills/deploying-decoy-files-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-decoy-files-for-ransomware-detection", 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 mukul975/Anthropic-Cybersecurity-Skills --skill deploying-decoy-files-for-ransomware-detection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills deploying-decoy-files-for-ransomware-detection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/deploying-decoy-files-for-ransomware-detection .opencode/skills/deploying-decoy-files-for-ransomware-detection && 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 "deploying-decoy-files-for-ransomware-detection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-decoy-files-for-ransomware-detection into .opencode/skills/deploying-decoy-files-for-ransomware-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-decoy-files-for-ransomware-detection", 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.
Facts
- Skill name
deploying-decoy-files-for-ransomware-detection- GitHub stars
- 34k
- Token cost
- ~2k tokens
- SKILL.md length
- 480 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 644
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time.
- Works in 5 steps: Design Canary File Strategy → Generate Realistic Canary Files → Deploy File System Watcher → …
- Alerts when ransomware modifies
- SKILL.md covers When to Use, Prerequisites, Workflow and Verification, plus 2 more sections
- Runs Python scripts from its folder
What it does
Deploying Decoy Files For Ransomware Detection is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time. Uses strategically placed decoy documents monitored via file integrity monitoring or OS-level watchdogs to trigger alerts when ransomware modifies or encrypts them. Activates for requests involving ransomware canary deployment, honeyfile setup, deception-based ransomware detection, or file integrity monitoring for encryption.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in DevOps & Cloud, covering Deployment. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
When your agent uses it
- Alerts when ransomware modifies
- Tasks that involve Deployment
Example prompts
- “Use the deploying-decoy-files-for-ransomware-detection skill to deploy canary files (honeytokens) across file systems to detect ransomware…”
- “/deploying-decoy-files-for-ransomware-detection”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Deploying Decoy Files For Ransomware Detection loads about 2k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 480 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 480 words, ~2,046 tokens.
Download SKILL.mdSave it as
.claude/skills/deploying-decoy-files-for-ransomware-detection/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- deploying-decoy-files-for-ransomware-detection
- description
- Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time. Uses strategically placed decoy documents monitored via file integrity monitoring or OS-level watchdogs to trigger alerts when ransomware modifies or encrypts them. Activates for requests involving ransomware canary deployment, honeyfile setup, deception-based ransomware detection, or file integrity monitoring for encryption.
- domain
- cybersecurity
- subdomain
- ransomware-defense
- tags
- ransomware, detection, canary-files, honeytokens, deception, file-integrity
- version
- 1.0.0
- author
- mahipal
- license
- Apache-2.0
- nist_csf
- PR.DS-11, RS.MA-01, RC.RP-01, PR.IR-01
- mitre_attack
- T1486, T1083, T1490, T1485
- mitre_f3.version
- 1.1
- mitre_f3.tactics
- monetization, positioning, stealth
Deploying Decoy Files for Ransomware Detection
When to Use
- Setting up early-warning detection for ransomware on file servers or endpoints
- Supplementing EDR/AV with a deception-based detection layer that catches unknown ransomware variants
- Creating high-fidelity ransomware alerts that have very low false-positive rates (legitimate users have no reason to touch decoy files)
- Testing ransomware response procedures by validating that canary file modifications trigger the expected alerting pipeline
- Protecting high-value file shares (finance, HR, legal) with tripwire files that indicate unauthorized encryption activity
Do not use decoy files as the sole ransomware defense. They are a detection mechanism, not a prevention mechanism, and should complement backups, EDR, and access controls.
Prerequisites
- Python 3.8+ with
watchdoglibrary for cross-platform file system monitoring - Administrative access to target file shares or endpoints for canary placement
- File integrity monitoring (FIM) tool or SIEM integration for alert routing
- Understanding of target directory structure to place canaries in high-value locations
- Windows: NTFS change journal or ReadDirectoryChangesW API access
- Linux: inotify support in kernel (standard in modern kernels)
Workflow
Step 1: Design Canary File Strategy
Plan file placement for maximum detection coverage:
Canary File Placement Strategy:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Naming Convention:
- Use names that sort FIRST and LAST alphabetically in each directory
- Ransomware typically enumerates directories A-Z or Z-A
- Examples: _AAAA_budget_2024.docx, ~zzzz_report_final.xlsx
Placement Locations:
- Root of every file share (\\server\share\_AAAA_canary.docx)
- Desktop, Documents, Downloads on each endpoint
- Department-specific shares (Finance, HR, Legal)
- Backup staging directories
- Home directories of high-privilege accounts
File Types:
- .docx, .xlsx, .pdf (most targeted by ransomware)
- .sql, .bak (database files, high value)
- Mix of file types to detect ransomware that targets specific extensionsStep 2: Generate Realistic Canary Files
Create decoy files with realistic content and metadata:
import os
import time
def create_canary_docx(filepath, content="Q4 Financial Summary - Confidential"):
"""Create a realistic .docx canary file using python-docx."""
from docx import Document
doc = Document()
doc.add_heading("Financial Report - CONFIDENTIAL", level=1)
doc.add_paragraph(content)
doc.add_paragraph(f"Generated: {time.strftime('%Y-%m-%d')}")
doc.save(filepath)
def create_canary_txt(filepath):
"""Create a simple text canary with known content for hash verification."""
content = "CANARY_TOKEN_DO_NOT_MODIFY\n"
content += f"Created: {time.strftime('%Y-%m-%dT%H:%M:%S')}\n"
content += "This file is monitored for unauthorized changes.\n"
with open(filepath, "w") as f:
f.write(content)Step 3: Deploy File System Watcher
Monitor canary files for any modification, rename, or deletion:
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
class CanaryHandler(FileSystemEventHandler):
def __init__(self, canary_paths, alert_callback):
self.canary_paths = set(canary_paths)
self.alert_callback = alert_callback
def on_modified(self, event):
if event.src_path in self.canary_paths:
self.alert_callback("MODIFIED", event.src_path)
def on_deleted(self, event):
if event.src_path in self.canary_paths:
self.alert_callback("DELETED", event.src_path)
def on_moved(self, event):
if event.src_path in self.canary_paths:
self.alert_callback("RENAMED", event.src_path)Step 4: Configure Alerting and Response
Define automated responses when canary files are triggered:
Alert Response Matrix:
━━━━━━━━━━━━━━━━━━━━━
Event: Canary MODIFIED
→ Severity: CRITICAL
→ Action: Alert SOC, identify modifying process (PID), isolate endpoint
Event: Canary DELETED
→ Severity: HIGH
→ Action: Alert SOC, check for ransomware note in same directory
Event: Canary RENAMED (new extension added)
→ Severity: CRITICAL
→ Action: Alert SOC, check extension against known ransomware extensions
→ Automated: Kill modifying process, disable network interface
Event: Multiple canaries triggered within 60 seconds
→ Severity: EMERGENCY
→ Action: Network-wide isolation, activate incident response planStep 5: Validate Detection Coverage
Test that canary files detect actual ransomware behavior:
# Simulate ransomware encryption (safe test - modifies canary content)
echo "ENCRYPTED_BY_TEST" > /path/to/canary/_AAAA_budget.docx
# Simulate ransomware rename (adds extension)
mv /path/to/canary/report.xlsx /path/to/canary/report.xlsx.locked
# Verify alerts were generated in SIEM/alerting systemVerification
- Confirm all canary files are present and unmodified using stored hash baselines
- Verify that modifying any canary file generates an alert within the expected timeframe (under 30 seconds)
- Test that alert routing to SOC/SIEM is functional with a controlled modification
- Validate that automated response actions (process kill, network isolation) execute correctly
- Check that canary files survive normal backup and restore operations
- Ensure legitimate users and processes are excluded from false-positive alerts (backup agents, AV scans)
Show full SKILL.md (165 more words)Show less
Key Concepts
| Term | Definition |
|---|---|
| Canary File | A decoy file placed in a directory that is monitored for any access or modification, serving as a tripwire for unauthorized activity |
| Honeytoken | A broader category of deception artifacts (files, credentials, database records) designed to alert when accessed |
| File Integrity Monitoring | Continuous monitoring of file attributes (hash, size, permissions, timestamps) to detect unauthorized changes |
| ReadDirectoryChangesW | Windows API for monitoring file system changes in a directory; used by the watchdog library on Windows |
| inotify | Linux kernel subsystem for monitoring file system events; provides near-instant notification of file changes |
Tools & Systems
- watchdog (Python): Cross-platform file system event monitoring library supporting Windows, Linux, and macOS
- Canarytokens (Thinkst): Free hosted service for generating various types of canary tokens including files, URLs, and DNS tokens
- OSSEC/Wazuh: Open-source HIDS with built-in file integrity monitoring and alerting capabilities
- Elastic Endpoint: Uses canary files internally for ransomware protection and key capture
- Sysmon: Windows system monitor that logs file creation events (Event ID 11) for canary file monitoring
© mukul975, 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
Files
SKILL.md and 3 other files (scripts, references) in skills/deploying-decoy-files-for-ransomware-detection of mukul975/Anthropic-Cybersecurity-Skills.
- SKILL.md
- LICENSE
- references/api-reference.md
- scripts/agent.py
Open the folder on GitHubat commit 54a7988
Compare with similar skills
Deploying Decoy Files For Ransomware Detection 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 |
|---|---|---|---|---|---|---|
| Deploying Decoy Files For Ransomware Detection this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Mirrord Operatormetalbear-co/mirrord | 5.4k | 1 repos | ~4.6k | Automated safety check: Pass | MIT | |
| KubeSphere ServiceMesh Managerkubesphere/kubesphere | 17k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Vercelremotion-dev/remotion | 63k | — | ~1.2k | Automated safety check: Pass | Custom licence |
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Related
Categories
Questions about Deploying Decoy Files For Ransomware Detection
What does Deploying Decoy Files For Ransomware Detection do?
Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time. Deploying Decoy Files For Ransomware Detection is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time.
When should I use Deploying Decoy Files For Ransomware Detection?
Deploying Decoy Files For Ransomware Detection fits situations like: alerts when ransomware modifies; tasks that involve Deployment.
How do I install Deploying Decoy Files For Ransomware Detection in Claude Code?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill deploying-decoy-files-for-ransomware-detection -a claude-code`. Or copy the skill folder (skills/deploying-decoy-files-for-ransomware-detection in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/deploying-decoy-files-for-ransomware-detection in your project. Claude Code loads it when a task matches its description.
How do I install Deploying Decoy Files For Ransomware Detection in Codex?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill deploying-decoy-files-for-ransomware-detection -a codex`. Or copy the skill folder (skills/deploying-decoy-files-for-ransomware-detection in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/deploying-decoy-files-for-ransomware-detection in your project. Codex loads it when a task matches its description.
Can I use Deploying Decoy Files For Ransomware Detection in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill deploying-decoy-files-for-ransomware-detection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deploying-decoy-files-for-ransomware-detection, .gemini/skills/deploying-decoy-files-for-ransomware-detection, .github/skills/deploying-decoy-files-for-ransomware-detection and .opencode/skills/deploying-decoy-files-for-ransomware-detection in your project.
What does Deploying Decoy Files For Ransomware Detection need to run?
Going by SKILL.md and its folder, Deploying Decoy Files For Ransomware Detection needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Deploying Decoy Files For Ransomware Detection access the network?
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.
Is Deploying Decoy Files For Ransomware Detection safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Deploying Decoy Files For Ransomware Detection use?
Deploying Decoy Files For Ransomware Detection is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Deploying Decoy Files For Ransomware Detection use?
About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 801 tokens, read only when the agent opens those files.
What are the alternatives to Deploying Decoy Files For Ransomware Detection?
Skills that share tags, products or a category with Deploying Decoy Files For Ransomware Detection: Kubeshark Installer (kubeshark/kubeshark, 12k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Mirrord Operator (metalbear-co/mirrord, 5.4k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deploying Decoy Files For Ransomware Detection?
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.