cisco-meraki-aam-thousandeyes-setup
cisco-meraki-aam-thousandeyes-setup is an Observability & incident response skill for AI agents, published by chambear2809 in the splunk-cisco-skills repository on GitHub. Skillspace rates cisco-meraki-aam-thousandeyes-setup D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Render, capture, validate, and safely operate Cisco Meraki Active Application Monitoring with ThousandEyes. Use when the user asks to link Meraki Dashboard to ThousandEyes, deploy ThousandEyes Enterprise Agents on supported Meraki MX networks, claim or use Meraki AAM free tests, create ThousandEyes tests from Meraki Insight / Active Application Monitoring, monitor an application from agents inside Meraki networks, inspect or summarize Meraki Dashboard HAR/POST requests for the AAM wizard, or validate the resulting ThousandEyes agents, tests, and results.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 31
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 76 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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