Borrowing it
Nothing to install: this file belongs to mckinsey/agents-at-scale-ark. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mckinsey/agents-at-scale-ark/main/.claude/skills/vulnerability-fixer/SKILL.mdgit clone --depth 1 https://github.com/mckinsey/agents-at-scale-arkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mckinsey/agents-at-scale-ark/vulnerability-fixer)<a href="https://agentmods.dev/skills/mckinsey/agents-at-scale-ark/vulnerability-fixer"><img src="https://agentmods.dev/badge/skills/mckinsey/agents-at-scale-ark/vulnerability-fixer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mckinsey/agents-at-scale-ark/vulnerability-fixer"><img src="https://agentmods.dev/badge/skills/mckinsey/agents-at-scale-ark/vulnerability-fixer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Supply Chain · line 36 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.02886 |
| Opus 5 | $0.00023 | $0.01443 |
| Sonnet 5 | $0.00009 | $0.00577 |
| Haiku 4.5 | $0.00005 | $0.00289 |
Grade B, and why
ark-vulnerability-fixer scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s "https://cve.circl.lu/api/cve/CVE-2025-55183" | python3 -m json.tool Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://cve.circl.lu/api/cve/CVE-2025-55183" | python3 -m json.tool How it starts
The opening of the file, as written. The whole thing — 411 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ark Vulnerability Fixer
Provides CVE-specific research tools and security patch workflows for fixing vulnerabilities in Ark.
When to use this skill
Use this skill when:
- User mentions a specific CVE number (e.g., "Fix CVE-2025-55183 in Ark")
- User reports a security vulnerability that needs patching
- You need CVE database information
- You need security-focused PR templates
Note: This skill is typically used by the ark-security-patcher agent as part of a complete workflow:
- CVE research (this skill + research skill)
- Codebase analysis (this skill + analysis skill)
- Mitigation planning (this skill)
- Repository cloning and fix implementation
- Testing (optionally with setup skill)
- PR creation (this skill)
This skill complements the research, analysis, and setup skills for a complete end-to-end vulnerability fixing workflow.
CVE Research
CVE API Integration
Fetch official CVE data from the CIRCL CVE database:
# Fetch CVE details
curl -s "https://cve.circl.lu/api/cve/CVE-2025-55183" | python3 -m json.tool
The API provides:
- Official CVE description
- CVSS scores and severity ratings
- References to security advisories
- Affected products and version ranges
- CWE categorization
- Available patches and fixes
CVE Research Checklist
For each CVE, gather:
- Official CVE description and CVSS score
- Vendor security advisory
- GitHub security advisory (if applicable)
- Patch or fix documentation
- Affected version range
- Recommended version or workaround
Tip: Use the research skill for web searches to find vendor advisories and GitHub security alerts.
Dependency Analysis
Identifying Vulnerable Dependencies
Once you have CVE details, search Ark's dependencies:
cd /tmp/ark-analysis # Use analysis skill to clone first
# Go dependencies
grep "package-name" go.mod go.sum
go list -m all | grep "package-name"
# Node.js dependencies
find . -name "package.json" -exec grep -l "package-name" {} \;
npm list package-name # If in a node project
# Python dependencies
find . -name "requirements.txt" -o -name "pyproject.toml" | xargs grep "package-name"
# Docker base images
find . -name "Dockerfile" | xargs grep "FROM"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 411 lines · 45 tokens per session scan B 6e3d882fa16b
ark-vulnerability-fixer is a skill published in the GitHub repository mckinsey/agents-at-scale-ark (422 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 2,886 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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