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.
npx skills add cxcscmu/SkillLearnBench --skill security-audit-csv-reportinggit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/security-audit-csv-reporting)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/security-audit-csv-reporting"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/security-audit-csv-reporting/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/cxcscmu/skilllearnbench/security-audit-csv-reporting"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/security-audit-csv-reporting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.00934 |
| Opus 5.5 | $0.00011 | $0.00374 |
| Sonnet 5.5 | $0.00005 | $0.00187 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
security-audit-csv-reporting 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Audit CSV Reporting
Overview
Converting vulnerability data into CSV format for audit trails, compliance reporting, and stakeholder communication.
CSV Schema
Standard security audit CSV columns:
Package,Version,CVE_ID,Severity,CVSS_Score,Fixed_Version,Title,Url
Field Definitions
| Column | Type | Description | Example |
|---|---|---|---|
| Package | String | Package/library name | lodash |
| Version | String | Installed version | 4.17.20 |
| CVE_ID | String | CVE identifier | CVE-2021-23337 |
| Severity | String | HIGH or CRITICAL | HIGH |
| CVSS_Score | Float/String | CVSS v3 score (0-10) | 7.5 or N/A |
| Fixed_Version | String | Version with fix or N/A | 4.17.21 |
| Title | String | Vulnerability title/description | Prototype Pollution |
| Url | String | Reference URL | https://nvd.nist.gov/vuln/detail/CVE-2021-23337 |
Implementation Pattern
import csv
import json
from typing import List, Dict
def generate_security_audit_csv(vulnerabilities: List[Dict], output_file: str):
"""
Generate security audit CSV from vulnerability data.
vulnerabilities: List of vulnerability dictionaries
output_file: Path to output CSV file
"""
fieldnames = ['Package', 'Version', 'CVE_ID', 'Severity',
'CVSS_Score', 'Fixed_Version', 'Title', 'Url']
with open(output_file, 'w', newline='') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
for vuln in vulnerabilities:
row = {
'Package': vuln.get('package', 'N/A'),
'Version': vuln.get('version', 'N/A'),
'CVE_ID': vuln.get('cve_id', 'N/A'),
'Severity': vuln.get('severity', 'N/A'),
'CVSS_Score': vuln.get('cvss_score', 'N/A'),
'Fixed_Version': vuln.get('fixed_version', 'N/A'),
'Title': vuln.get('title', 'N/A'),
'Url': vuln.get('url', 'N/A')
}
writer.writerow(row)
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.
- 1mo ago First seen · 126 lines · 27 tokens per session scan A 209ade5fac54
security-audit-csv-reporting is a skill published in the GitHub repository cxcscmu/SkillLearnBench (88 stars, last pushed 17d ago), licensed MIT. It adds 27 tokens to every session and 934 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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