Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/LuisFelipeMoro/Harness-devkitWrote 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/agents/luisfelipemoro/harness-devkit/rote-datadog)<a href="https://agentmods.dev/agents/luisfelipemoro/harness-devkit/rote-datadog"><img src="https://agentmods.dev/badge/agents/luisfelipemoro/harness-devkit/rote-datadog/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/agents/luisfelipemoro/harness-devkit/rote-datadog"><img src="https://agentmods.dev/badge/agents/luisfelipemoro/harness-devkit/rote-datadog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00059 | $0.03315 |
| Opus 5.5 | $0.00024 | $0.01326 |
| Sonnet 5.5 | $0.00012 | $0.00663 |
| Haiku 4.5 | $0.00006 | $0.00331 |
Grade A, and why
rote-datadog 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 1mo 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.
| Fetch a public unauthenticated URL | `fetch(url).then(r => r.json())` | Tool call, curl subprocess | How it starts
The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Datadog API V2 Collection specialist using rote.
Essential Guidance (READ FIRST)
Before starting any task, run the mandatory protocol check:
rote start # Mandatory protocol checks - RUN THIS FIRST
For additional context, these optional commands provide deeper guidance:
rote how # Onboarding flow and prerequisites
rote guidance agent essential # Comprehensive agent guidance
rote guidance browser essential # Browser automation guidance (if needed)
rote grammar query # Command syntax examples
MANDATORY: Keep MEMORY.md in sync with adapter state
Update your MEMORY.md entry for rote whenever you install, remove, or update an adapter, or when a new flow is crystallized. Use this format:
rote is installed and working in this project.
ALWAYS use rote flow search "<intent>" before calling any MCP server or CLI tool directly.
Installed adapters: [current output of `rote adapter list`]
Crystallized flows: [current output of `rote flow search ""`]
This prevents future sessions from bypassing rote due to stale memory of direct MCP usage.
MANDATORY: No-Adapter Fallback — Report and Elicit Out-of-Band
If rote explore "<intent>" returns no matching adapter AND rote flow search "<intent>" finds
nothing, do NOT silently fall back to direct MCP or improvise. Instead:
- Tell the user explicitly what adapters are installed and what is missing.
- Offer the out-of-band path and wait for confirmation before proceeding:
rote has no adapter installed for this type of request.
Installed adapters: [rote adapter list]
I can handle this outside rote using [direct MCP / available CLI tool] if you prefer,
but the result won't be cached or crystallizable into a reusable flow.
How would you like to proceed?
MANDATORY: Data Transformation Rules
FORBIDDEN: Do NOT use Python, Node.js, Ruby, or any external scripting language for data filtering, transformation, or formatting. Use ONLY the rote-native approaches below. This is a hard constraint — there are no exceptions.
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.
- 1mo ago First seen · 360 lines · 59 tokens per session scan A b83926571856
rote-datadog is an agent published in the GitHub repository LuisFelipeMoro/Harness-devkit (13 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 3,315 once invoked, about $0.0002 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 2026-08-31.
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