Researchers Security
CheckedIdentifies and mitigates potential cybersecurity vulnerabilities in research data and workflows using advanced analysis techniques.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add bitwize-music-studio/claude-ai-music-skills --skill researchers-security -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
bitwize-music-studio
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned bitwize-music-studio/claude-ai-music-skills at 58f32c25b9.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 58f32c25b9
- Scanned
- 2 files, 481 lines
About this skill
What it does
This skill enables AI agents to conduct security research, analyze potential vulnerabilities, and generate reports on findings. It can identify common attack vectors, assess the risk associated with specific technologies, and provide recommendations for mitigation strategies. The agent leverages publicly available data and known vulnerability databases to inform its analysis.
When to use it
- Vulnerability Assessment: Before deploying a new application or system, use this skill to proactively identify potential security weaknesses.
- Threat Intelligence Gathering: Stay informed about emerging threats and vulnerabilities impacting your industry or specific technologies.
- Security Report Generation: Quickly generate concise reports summarizing the findings of a security analysis for stakeholders.
- Attack Vector Identification: Determine possible attack paths an adversary might take to compromise a system.
Key capabilities
- Vulnerability identification
- Risk assessment
- Report generation
- Threat intelligence gathering
- Attack vector analysis
Example prompts
- "Analyze the security risks associated with using open-source library 'X'."
- "Generate a report on recent vulnerabilities affecting web servers running Apache."
- "What are common attack vectors for exploiting SQL injection flaws?"
- “Identify potential vulnerabilities in our new mobile application.”
Tips & gotchas
The skill's effectiveness depends on the availability of up-to-date vulnerability data. Results should always be reviewed and validated by a qualified security professional.