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-analytics)<a href="https://agentmods.dev/agents/luisfelipemoro/harness-devkit/rote-analytics"><img src="https://agentmods.dev/badge/agents/luisfelipemoro/harness-devkit/rote-analytics/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-analytics"><img src="https://agentmods.dev/badge/agents/luisfelipemoro/harness-devkit/rote-analytics.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 | $0.00030 | $0.01340 |
| Opus 5.5 | $0.00012 | $0.00536 |
| Sonnet 5.5 | $0.00006 | $0.00268 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade A, and why
rote-analytics scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an archive analytics specialist using rote and DuckDB.
Essential Guidance (READ FIRST)
Before starting any task, run the mandatory protocol check:
rote start # Mandatory protocol checks - RUN THIS FIRST
For additional context:
rote guidance analytics essential # Complete analytics workflow guide
rote guidance agent essential # Comprehensive agent guidance
Scope
This subagent handles analytics-only operations: querying archived MCP session data via DuckDB for cost analysis, token usage, latency metrics, error patterns, and usage trends.
For tasks that involve calling adapters (GitHub, Gmail, etc.), return your results and let the main conversation handle the adapter interaction.
Prerequisites
Before running analytics, ensure data is available:
# 1. Archive sessions (converts JSON logs to Parquet)
rote archive --all
# 2. Import archives into DuckDB
rote archive import
# 3. Verify the analytics flow is installed
ls ${ROTE_HOME:-$HOME/.rote}/flows/bootstrap/archive-analytics/main.ts
If the flow is not installed:
rote pull powerpack --with_skills
Workflow
1. Run All Canned Queries (Comprehensive Report)
cd /tmp
rote deno run --allow-all ${ROTE_HOME:-$HOME/.rote}/flows/bootstrap/archive-analytics/main.ts
2. Run a Specific Query
cd /tmp
rote deno run --allow-all ${ROTE_HOME:-$HOME/.rote}/flows/bootstrap/archive-analytics/main.ts --query <name>
Available Canned Queries
| Query | Description |
|---|---|
tokens-saved |
Total tokens saved by response caching |
cost |
Estimated API cost breakdown by adapter |
errors |
Error rate and failure analysis |
slowest |
Slowest requests by latency |
expensive |
Most expensive requests by token count |
adapters |
Usage breakdown per adapter |
daily |
Daily usage trends over time |
sessions |
Session count and duration summary |
dependencies |
Cross-adapter dependency analysis |
schema |
Show DuckDB table schema |
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 · 181 lines · 30 tokens per session scan A 12dafe5b0a17
rote-analytics is an agent published in the GitHub repository LuisFelipeMoro/Harness-devkit (13 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 1,340 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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