Expertise in FedRAMP POA&M lifecycle management, FedRAMP 20x VDR generation, and vulnerability classification using CISA KEV, EPSS, N-ratings, LEV/IRV, and NIST 800-53 control mappings.
SkillScore83Maintained
Automatic
◆Security & AppSec pack
Last verified 8/23/2026
What it changes
Passed 19 of 23 test cases with the skill, and 4 of 23 without it.
Without skill17%
With skill83%
Checks it passed that the model alone missed
The response states that local AI remediation requires Ollama.
The response states that local AI remediation requires the Mistral model.
The response uses N1 through N5 ratings for adverse impact classification.
and 20 more in the full report
16 fixed4 passed either way4 still failing0 broke
Pass-rate lift
+67 pp
Tokens
-6%
Agent turns
0%
Response time
-39%
Model gemini-3.6-flashMeasured 8/23/2026v120 of 24 cases passed with skill · 23 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 15
Prompt
A low-severity vulnerability was detected during our monthly scan on a Low baseline system. According to FedRAMP 20x baseline rules, what is the exact evaluation deadline in days from detection?
What was checked, without and with the skill
Checked
Without skill
With skill
The response specifies a 7-day evaluation deadline for Low severity findings.
Missed
Passed
case-18 · gemini-3.6-flash · 8/23/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md60 linessingle file
POA&M Automation Expert
Tool Behavior
This connector wraps the FedRAMP POA&M Automation Tool — a Python CLI that manages the full vulnerability finding lifecycle from scanner import through FedRAMP 20x VDR generation.
What it does
Parses raw scanner exports (Nessus, Tenable, Qualys, Wiz) into a structured FedRAMP POA&M
Auto-deduplicates findings across scanner imports using title + asset identifier
Enriches findings with NIST 800-53 control mappings via keyword matching