Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/chambear2809/splunk-cisco-skillsnpx agentmods add skills/chambear2809/splunk-cisco-skills/cisco-meraki-aam-thousandeyes-setupWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/chambear2809/splunk-cisco-skills/cisco-meraki-aam-thousandeyes-setup)<a href="https://agentmods.dev/skills/chambear2809/splunk-cisco-skills/cisco-meraki-aam-thousandeyes-setup"><img src="https://agentmods.dev/badge/skills/chambear2809/splunk-cisco-skills/cisco-meraki-aam-thousandeyes-setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/chambear2809/splunk-cisco-skills/cisco-meraki-aam-thousandeyes-setup"><img src="https://agentmods.dev/badge/skills/chambear2809/splunk-cisco-skills/cisco-meraki-aam-thousandeyes-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00119 | $0.02462 |
| Opus 5.5 | $0.00048 | $0.00985 |
| Sonnet 5.5 | $0.00024 | $0.00492 |
| Haiku 4.5 | $0.00012 | $0.00246 |
Grade A, and why
cisco-meraki-aam-thousandeyes-setup scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 29d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
and pins curl to HTTPS with redirects and user curl configuration disabled. How it starts
The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cisco Meraki AAM ThousandEyes Setup
Prerequisites
| Tool or access | Purpose | Verify |
|---|---|---|
| Bash and Python 3 | Run bundled setup and validation helpers | bash --version && python3 --version |
| Required product/platform access | Inspect or configure the selected target | Complete the documented preflight |
| Credential files for live modes | Keep secrets out of chat | Verify paths only |
Workflow Overview
┌───────────┐ ┌───────────────┐ ┌───────────────┐ ┌─────────────────┐
│ Preflight │ → │ Render/review │ → │ Apply/handoff │ → │ Validate evidence │
└───────────┘ └───────────────┘ └───────────────┘ └─────────────────┘
When to Activate
- 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.
- Preview and review the cisco meraki aam thousandeyes setup workflow before any live apply phase.
- Diagnose failed prerequisites, generated assets, configuration, or validation evidence.
Scope
Follow the documented read-only or render-first path whenever it is available. This skill does not imply permission to mutate live systems. Require explicit apply flags, protected credentials, and operator review for state changes.
Examples
Inspect the supported setup modes before selecting one:
bash skills/cisco-meraki-aam-thousandeyes-setup/scripts/setup.sh --help
Expected output: usage, supported modes, and required arguments are displayed without changing the target environment.
Inspect validation modes before running completion checks:
bash skills/cisco-meraki-aam-thousandeyes-setup/scripts/validate.sh --help
Expected output: offline, live, and completion options are displayed when the skill supports them; help exits without mutation.
Troubleshooting
| Issue | Cause | Resolution |
|---|---|---|
| Preflight fails | A required tool or access path is missing | Resolve it before rendering or applying |
| Rendered assets are incomplete | Required non-secret inputs are absent | Complete intake and render again |
| Apply is blocked | Review, credentials, or explicit acceptance is missing | Use the documented handoff |
| Validation is incomplete | Live evidence is unavailable | Record the gap and keep completion open |
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 29d ago Changed · +2 lines f3f97b1356c3
- 2mo ago First seen · 232 lines · 119 tokens per session scan A c76b72c7ab63
cisco-meraki-aam-thousandeyes-setup is a skill published in the GitHub repository chambear2809/splunk-cisco-skills (40 stars, last pushed 6d ago), licensed Apache-2.0. It adds 119 tokens to every session and 2,462 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
cisco-meraki-aam-thousandeyes-setup compared with skills from other repositories
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|---|---|---|---|---|---|---|---|
| cisco-meraki-aam-thousandeyes-setupchambear2809/splunk-cisco-skills | Skill | 40 | 6d ago | Apache-2.0 | A | 119 | Codex |
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