Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/latestaiagents/agent-skillsWrote 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/commands/latestaiagents/agent-skills/fix-vulnerability)<a href="https://agentmods.dev/commands/latestaiagents/agent-skills/fix-vulnerability"><img src="https://agentmods.dev/badge/commands/latestaiagents/agent-skills/fix-vulnerability.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00011 | $0.00296 |
| Opus 5 | $0.00005 | $0.00148 |
| Sonnet 5 | $0.00002 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
fix-vulnerability scanned grade A with 0 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 4d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/fix-vulnerability
Get detailed guidance to fix a specific security issue.
What I Need
Tell me:
- What vulnerability did you find?
- What language/framework are you using?
- Share the vulnerable code snippet
How It Works
Step 1: Analyze
I'll examine the vulnerability:
- Attack vectors
- Potential impact
- Exploitation difficulty
Step 2: Explain
I'll clarify:
- Why this is dangerous
- How attackers exploit it
- Real-world examples
Step 3: Fix
I'll provide:
- Secure code replacement
- Step-by-step instructions
- Testing approach
Step 4: Verify
I'll suggest:
- How to test the fix
- Automated checks to add
- Prevention for similar issues
Common Fixes
| Vulnerability | Quick Fix |
|---|---|
| SQL Injection | Use parameterized queries |
| XSS | Escape output, use CSP |
| CSRF | Add CSRF tokens |
| Hardcoded Secrets | Use environment variables |
| Broken Auth | Implement proper session management |
| Insecure Dependencies | Update to patched versions |
Example
You: /fix-vulnerability
I found SQL injection in this code:
db.query("SELECT * FROM users WHERE id = " + req.params.id)
Claude: [Provides secure parameterized version with explanation]
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.
- 4d ago First seen · 63 lines · 11 tokens per session scan A c4df9540789a
fix-vulnerability is a command published in the GitHub repository latestaiagents/agent-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 11 tokens to every session and 296 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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