BF newrelic-cli-skills
Monitor, query, and manage New Relic observability data via the newrelic CLI. Covers NRQL queries, AI Monitoring telemetry, APM performance triage, deployment markers, read-only alert and incident inspection, infrastructure monitoring, agent diagnostics, and identity/access administration. Use when user asks about LLM token usage or AI application telemetry, application performance, error rates, slow transactions, deployment tracking, incident inspection, New Relic setup, users, groups, roles, permissions, or access grants.
Monitor, query, and manage New Relic observability data via the newrelic CLI.
As a process F 25/100 · No process to follow — References files that are not bundled: apm/SKILL.md, nrql/SKILL.md, aimonitoring/SKILL.md
How to improve
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: apm/SKILL.md - warning
missing-refreference to a missing file: nrql/SKILL.md - warning
missing-refreference to a missing file: aimonitoring/SKILL.md - warning
missing-refreference to a missing file: deployments/SKILL.md - warning
missing-refreference to a missing file: alerts/SKILL.md - warning
missing-refreference to a missing file: infrastructure/SKILL.md - warning
missing-refreference to a missing file: diagnostics/SKILL.md - warning
missing-refreference to a missing file: iam/SKILL.md
Process rating: all ten parameters 25/100
- 0Tools and files. 8 referenced file(s) missing: apm/SKILL.md, nrql/SKILL.md, aimonitoring/SKILL.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 10 mutating operations with no state check
- 50Steps. 2 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1126 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 529: enough signal without eating the budget
- +4Structure: 9 headings
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.