SKILLEMALL.ai

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.

ClawHub Agent Skills author: chunkin616-hue v1.0.0 MIT-0 6 files body ≈ 1 716 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

IntegrationData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
78
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: ../kibana-data-views/SKILL.md, ../kibana-lens-builder/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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-token scripts/import_ndjson.py:23
    High-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-ref reference to a missing file: ../kibana-data-views/SKILL.md
  • warning missing-ref reference to a missing file: ../kibana-lens-builder/SKILL.md

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: ../kibana-data-views/SKILL.md, ../kibana-lens-builder/SKILL.md
  • 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.

External checks

ClawHub: clean
This is a coherent Kibana management skill, but users should be careful because it can change, overwrite, or delete dashboards and saved objects.
LLM: benign (high) · VirusTotal: · 29 May 2026