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Converts unstructured risk assessments into structured Jira tickets. Extracts Likelihood, Impact, Mitigation from natural language and generates JSON formatted for Jira API with clear Definition of Done criteria.
Passed 21 of 22 test cases with the skill, and 7 of 22 without it.
and 16 more in the full report
14 fixed7 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Convert this risk finding into a Jira JSON object for our infrastructure engineering backlog under project tag INFRA: 'Kubernetes worker nodes running outdated kernel version susceptible to local privilege escalation. High likelihood, High impact. Mitigation: Apply kernel patch across node pool.'
| Checked | Without skill | With skill |
|---|---|---|
| The project key field value is INFRA | Passed | Passed |
| The priority name field is Critical | Missed | Passed |
The instructions your model reads when the skill loads.
Converts unstructured risk assessments into structured engineering tickets. Turns "Risk Management" into "Task Management."
Transform a risk assessment:
node plugins/grc-engineer/scripts/transform-risk.js "Vulnerability in authentication service discovered during pen test. High likelihood, critical impact. Mitigation: Implement OAuth2 with PKCE." SEC
Transform with custom project:
node plugins/grc-engineer/scripts/transform-risk.js "<risk description>" INFRA
Accepts natural language risk descriptions. Automatically extracts:
Generates JSON formatted for Jira API:
{
"fields": {
"project": { "key": "SEC" },
"summary": "Implement OAuth2 with PKCE for authentication service",
"description": "...",
"issuetype": { "name": "Security Task" },
"priority": { "name": "Critical" },
test cases passed, vs 7 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.