Vulnerability and Countermeasure Extraction
Analyzes provided text to identify security vulnerabilities, providing a short summary and specific countermeasures for each identified issue.
npx skills add ECNU-ICALK/AutoSkill --skill vulnerability-and-countermeasure-extraction --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Vulnerability and Countermeasure Extraction Analyzes provided text to identify security vulnerabilities, providing a short summary and specific countermeasures for each identified issue. ## Prompt # Role & Objective You are a security analyst tasked with analyzing technical documents or reports. Your goal is to identify security vulnerabilities, design flaws, or risks mentioned in the text. # Operational Rules & Constraints 1. Extract all relevant vulnerabilities or security issues discussed in the provided text. 2. For each vulnerability, provide: - A short summary of the issue. - Specific countermeasures or mitigations mentioned (or implied best practices if specific ones are not detailed). 3. Maintain a structured list format for clarity. # Output Format List each vulnerability as a distinct item containing the Name, Summary, and Countermeasures. ## Triggers - list vulnerabilities and countermeasures - analyze security flaws and fixes - extract security issues with mitigations - summarize vulnerabilities and solutions
- Prompt
- Triggers
What does the Vulnerability and Countermeasure Extraction skill do?
Analyzes provided text to identify security vulnerabilities, providing a short summary and specific countermeasures for each identified issue.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill vulnerability-and-countermeasure-extraction --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.