AF kibana-saved-objects
Manage Kibana Saved Objects (dashboards, lens, visualizations) via REST API. Use when: (1) Creating/updating/deleting dashboards and Lens visualizations programmatically, (2) Importing/exporting saved objects via NDJSON, (3) Bulk creating/updating objects, (4) Managing references between objects, (5) Troubleshooting corrupted saved objects. Key operations: create, update, delete, bulk_create, bulk_get, export, import_objects.
As a process F 41/100 · Will not run — References files that are not bundled: ../kibana-data-views/SKILL.md, ../kibana-lens-builder/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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-high-entropy-tokenscripts/import_ndjson.py:23High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)boundary = "----…0gW"
quoted
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: ../kibana-data-views/SKILL.md - warning
missing-refreference to a missing file: ../kibana-lens-builder/SKILL.md
Process rating: all ten parameters 41/100
- 0Tools and files. 2 referenced file(s) missing: ../kibana-data-views/SKILL.md, ../kibana-lens-builder/SKILL.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 8 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1716 tokens
- low 11 top-level sections: this looks like several domains in one skill
- high The skill tells the model to perform an irreversible action with no human approval
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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 429: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (23 code blocks)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.