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 agentmods add rules/csoai-org/cisa-kev-mcp/cursorrulesgit clone --depth 1 https://github.com/CSOAI-ORG/cisa-kev-mcpWrote 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/rules/csoai-org/cisa-kev-mcp/cursorrules)<a href="https://agentmods.dev/rules/csoai-org/cisa-kev-mcp/cursorrules"><img src="https://agentmods.dev/badge/rules/csoai-org/cisa-kev-mcp/cursorrules.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 | $0.00194 | $0.00194 |
| Opus 5 | $0.00097 | $0.00097 |
| Sonnet 5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00019 | $0.00019 |
Grade A, and why
cursorrules 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 3d 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
CISA KEV Known Exploited Vulnerabilities MCP - Auto-trigger Rules
When the user asks about CISA KEV, known exploited vulnerabilities, BOD 22-01, EPSS, CVE, use cisa-kev-mcp tools:
- query_kev_catalog: Query CISA KEV catalog by CVE, vendor, product, date
- check_remediation_deadline: BOD 22-01 remediation deadline + days remaining
- export_kev_sbom: Cross-reference KEV with provided SBOM (CycloneDX)
- subscribe_alerts: Recent additions to KEV catalog (last 7 days)
- epss_overlay: EPSS Exploit Prediction Scoring overlay for prioritization
Install: pip install cisa-kev-mcp
By MEOK AI Labs — industry governance MCP. Pairs with meok-attestation-api for signed compliance certs.
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.
- 3d ago First seen · 14 lines · 194 tokens per session scan A da3e887b60a7
cursorrules is a cursor rule published in the GitHub repository CSOAI-ORG/cisa-kev-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 194 tokens to every session, about $0.0010 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 2026-08-31.
Other cursor rules, from other repositories
cursorrules
When the user asks about contract review, use contract-review-ai-mcp tools: analyzecontract, extractclauses, identifyrisks, comparecontracts, summarizecontract.
cursorrules
When the user asks about COBOL, legacy modernization, mainframe migration, banking IT, COBOL parser, use cobol-bridge-mcp tools.
cursorrules
When the user asks about churn predictor, use churn-predictor-ai-mcp tools: predictchurn, batchpredictchurn, getcustomerrisk, trackcustomer, updatecustomersignals.
cursorrules
When the user asks about ad copy, use ad-copy-ai-mcp tools: generateadcopy, generatevariants, createcampaign, getcampaign, addcreative.
cursorrules
When the user asks about accessibility, use accessibility-ai-mcp tools: checkcolorcontrast, suggestalttext, checkheadinghierarchy, ariavalidator.
cursorrules
When the user asks about api docs generator, use api-docs-generator-ai-mcp tools: generateendpoint, generateschema, generatefullspec, addauthtospec, validatespec.