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 wangke19/gemini-ai-helpers --skill cve-intelligence-gatheringgit clone --depth 1 https://github.com/wangke19/gemini-ai-helpersWrote 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/wangke19/gemini-ai-helpers/cve-intelligence-gathering)<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/cve-intelligence-gathering"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/cve-intelligence-gathering/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/wangke19/gemini-ai-helpers/cve-intelligence-gathering"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/cve-intelligence-gathering.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00016 | $0.03204 |
| Opus 5 | $0.00008 | $0.01602 |
| Sonnet 5 | $0.00003 | $0.00641 |
| Haiku 4.5 | $0.00002 | $0.00320 |
Grade A, and why
CVE Intelligence Gathering 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 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.
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.
This is a copy
100% identical to cve-intelligence-gathering — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CVE Intelligence Gathering
Systematically collects CVE vulnerability details from multiple authoritative sources, handles search failures, and compiles a comprehensive vulnerability profile for analysis.
When to Use This Skill
Use this skill when:
- Starting CVE analysis and need complete vulnerability information
- Web searches are returning limited or no results
- CVE is very new and not yet in all databases
- Need to distinguish between authoritative and user-provided information
- Building evidence for security compliance reports
Prerequisites
Required
- Valid CVE identifier (format: CVE-YYYY-NNNNN)
- Internet connectivity (recommended but not required)
web_searchtool access
Optional
- User-provided CVE details (fallback when internet unavailable)
- Links to security advisories
Implementation Steps
Step 1: Validate CVE Format
# Regex pattern for CVE ID
CVE_PATTERN="^CVE-[0-9]{4}-[0-9]{4,}$"
# Validate format
if [[ "$CVE_ID" =~ $CVE_PATTERN ]]; then
echo "Valid CVE format"
else
echo "ERROR: Invalid CVE format. Expected: CVE-YYYY-NNNNN"
exit 1
fi
Extract components:
- Year:
YYYYfromCVE-YYYY-NNNNN - Number:
NNNNNfromCVE-YYYY-NNNNN
Decision Point:
- IF invalid format → Return error to parent command
- IF valid → Continue to Step 2
Step 2: Search Primary Sources (NVD and MITRE)
National Vulnerability Database (NVD)
Search query: "CVE-{ID} site:nvd.nist.gov"
Example: "CVE-YYYY-NNNNN site:nvd.nist.gov"
Extract from results:
- CVSS Score (v3.1, v3.0, or v2.0)
- Severity rating (CRITICAL/HIGH/MEDIUM/LOW)
- Base score and vector string
- Affected product/versions
- CWE (Common Weakness Enumeration) ID
- Published date and last modified date
MITRE CVE Database
Search query: "CVE-{ID} site:cve.mitre.org"
Example: "CVE-YYYY-NNNNN site:cve.mitre.org"
Extract from results:
- CVE description (official)
- References (links to advisories, patches, exploits)
- CWE classification
- Assigning CNA (CVE Numbering Authority)
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 · 477 lines · 16 tokens per session scan A cd929d4c8012
CVE Intelligence Gathering is a skill published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 16 tokens to every session and 3,204 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cve-intelligence-gathering, differing in 2 lines, and is treated as a copy.
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