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-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-thousandeyes-setup)<a href="https://agentmods.dev/skills/chambear2809/splunk-cisco-skills/cisco-thousandeyes-setup"><img src="https://agentmods.dev/badge/skills/chambear2809/splunk-cisco-skills/cisco-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-thousandeyes-setup"><img src="https://agentmods.dev/badge/skills/chambear2809/splunk-cisco-skills/cisco-thousandeyes-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 109 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00032 | $0.03801 |
| Opus 5 | $0.00016 | $0.01901 |
| Sonnet 5 | $0.00006 | $0.00760 |
| Haiku 4.5 | $0.00003 | $0.00380 |
Grade A, and why
cisco-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 8d 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.
| Bash, `curl`, and `jq` | Run setup and REST configuration helpers | `command -v bash curl jq` | How it starts
The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cisco ThousandEyes App Setup Automation
Prerequisites
| Tool or access | Purpose | Verify |
|---|---|---|
Bash, curl, and jq |
Run setup and REST configuration helpers | command -v bash curl jq |
| Splunk administrative access | Create indexes, HEC, accounts, and inputs | Confirm search-tier REST access |
| ThousandEyes account-group access | Authorize OAuth and selected test data | Record the numeric account-group ID |
Workflow Overview
┌───────────┐ ┌────────────────┐ ┌──────────────────┐ ┌────────────────────┐
│ Preflight │ → │ Configure auth │ → │ Enable data path │ → │ Validate dashboards │
└───────────┘ └────────────────┘ └──────────────────┘ └────────────────────┘
When to Activate
- Configure ThousandEyes OAuth, HEC streaming, or API polling in Splunk.
- Onboard cloud, enterprise-agent, or endpoint test results.
- Diagnose missing path data, empty dashboards, or optional ITSI readiness.
Scope
This skill configures the Splunk application and its data paths. It does not create ThousandEyes tests, expose OAuth or HEC tokens in chat, or enable both streaming and polling for the same data without duplicate-ingest review.
Examples
Run preflight diagnostics before authentication:
bash skills/cisco-thousandeyes-setup/scripts/validate.sh
Expected output: package, local tools, Splunk access, and account prerequisites are reported without creating tokens or inputs.
Run strict completion checks after enabling the selected path:
bash skills/cisco-thousandeyes-setup/scripts/validate.sh --completion
Expected output: account, HEC or polling input, index, source type, recent data,
and dashboard evidence report [PASS] or exit nonzero.
Troubleshooting
| Issue | Cause | Resolution |
|---|---|---|
| Device flow expires | Approval timed out | Restart and approve promptly |
| No HEC events | Token, endpoint, or index is wrong | Verify without printing token |
| Duplicate test events | Streaming and polling overlap | Keep one path per dataset |
| Empty dashboards/ITSI | Index, macro, or type is wrong | Validate events first |
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.
- 8d ago First seen · 384 lines · 32 tokens per session scan A 7668236c8419
cisco-thousandeyes-setup is a skill published in the GitHub repository chambear2809/splunk-cisco-skills (37 stars, last pushed yesterday), licensed Apache-2.0. It adds 32 tokens to every session and 3,801 once invoked, about $0.0002 per session on Opus 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.
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