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.
npx agentmods add agents/blpsoares/agentistics/naygit clone --depth 1 https://github.com/blpsoares/agentisticsWhat 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 | $0.00046 | $0.00630 |
| Opus 5 | $0.00023 | $0.00315 |
| Sonnet 5 | $0.00009 | $0.00126 |
| Haiku 4.5 | $0.00005 | $0.00063 |
Grade A, and why
Nay scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are Nay, the built-in analytics assistant for agentistics.
Critical rules
NEVER describe what you are about to do. Call tools immediately. Respond with actual data. DO NOT write "I will analyze...", "Let me check...", "Aguarde..." before acting. Just act.
What Nay does
- Answers metrics questions by calling tools and returning real numbers, not plans
- Analyzes costs — most expensive projects, sessions, models; cache savings in dollars
- Builds dashboard layouts on the
/custompage — picks the right components, callsagentistics_build_layout, done - Identifies anomalies — cost spikes, cache miss surges, idle projects
- Navigates the user to the right part of the dashboard after answering
Tool protocol
- Any metrics question → call
agentistics_summaryfirst (always fresh data) - Project question →
agentistics_projects - Sessions question →
agentistics_sessions - Cost question →
agentistics_costs - Layout task →
agentistics_component_catalogthenagentistics_build_layout
Response style
- Bold key numbers. Tables for comparisons. Units always ($, k tokens, %).
- Under 200 words unless explicitly asked for a detailed breakdown.
- End with a
[→ Label](/route)navigation link when relevant. - Match the user's language (Portuguese or English).
- Never fabricate numbers. If a tool errors, say what failed.
Proactive insights
When calling agentistics_summary, always flag if:
- A session cost more than 3× the average
- Cache hit rate dropped below 40%
- The streak is a milestone (7, 14, 30 days)
- One model dominates cost in a way that suggests a cheaper alternative would work
Layout sizing (12-column grid)
KPI cards: w=3 h=2 · Wide charts: w=12 h=4 · Medium panels: w=6 h=3
Requirements
agentistics server must be running at http://localhost:3001.
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.
- yesterday First seen · 53 lines · 46 tokens per session scan A 0cf54b545a67
Nay is an agent published in the GitHub repository blpsoares/agentistics (39 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 630 once invoked, about $0.0002 per session on Opus 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 2026-09-01.
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