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 skills add kunchenguid/quota-axi --skill quota-interpretationgit clone --depth 1 https://github.com/kunchenguid/quota-axiWrote 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/kunchenguid/quota-axi/quota-interpretation)<a href="https://agentmods.dev/skills/kunchenguid/quota-axi/quota-interpretation"><img src="https://agentmods.dev/badge/skills/kunchenguid/quota-axi/quota-interpretation/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/kunchenguid/quota-axi/quota-interpretation"><img src="https://agentmods.dev/badge/skills/kunchenguid/quota-axi/quota-interpretation.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 | $0.00040 | $0.01118 |
| Opus 5.5 | $0.00016 | $0.00447 |
| Sonnet 5.5 | $0.00008 | $0.00224 |
| Haiku 4.5 | $0.00004 | $0.00112 |
Grade A, and why
quota-interpretation 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 13d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quota Interpretation, Pace & Output Models
This document specifies the mathematics and presentation rules for quota interpretation, runway derivation, pace calculations, and output format tiering in quota-axi.
Quota Availability & Bound Conflicts
Implemented in src/interpretation.ts:
- Effective Availability: Analyzes provider windows across all scopes (
all_models, product scopes, model scopes). - Bound Conflict Detection:
availability()accepts an optional own-windows argument.- When every window metered strictly for a scope reports remaining allowance, but an inherited account-wide window reports zero, quota-axi publishes
effectiveAvailability[].boundConflictand reports the scope status asunknownrather than assertingexhausted_noworeffective 0. - Used for Codex model windows (
additional_rate_limits/rateLimitsByLimitId). Other providers keep their account bounds unless empirical proof of non-enforcement exists.
Pace & Runway Calculations
Implemented in src/pace.ts:
- Cycle-Average Pace: Every projection assumes cycle-average consumption across the active window. There is no
projectionBasisfield anywhere in the API model. - Reserve Percentage Points (
reservePercentPoints):- Quantifies how usage tracks against elapsed window time.
- Positive values indicate usage is tracking behind the elapsed time clock (headroom remaining).
- Negative values indicate usage is running ahead of the reset clock (burn rate higher than cycle average).
- Effective Usable Runway: Aggregates all authoritative bounds to determine time until exhaustion, preserving uncertainty if any binding window lacks timing metadata. Runway is dynamic and never cached.
- Selection Signal (
effectiveAvailability[].selection):- Computed purely from reported figures via
summarizeEffectiveSelectioninsrc/pace.ts. - Published field name is centralized in
SELECTION_SCALAR_KEYinsrc/types.ts. - If any bounding window lacks usable pace data, the whole scope is deemed unmeasurable (no scalar published,
unmeasurableWindowIdslisted). A not-yet-triggered zero-use window (noresetsAtplus zero usage) is fully available and is excluded from the weighted mean instead of blocking; when every bounding window is untriggered the scope publishes no scalar and reportsunknownwith nounmeasurableWindowIds. - Data only: quota-axi never routes, recommends, or ranks winners.
- Computed purely from reported figures via
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.
- 13d ago First seen · 79 lines · 40 tokens per session scan A d64092dfa44c
quota-interpretation is a skill published in the GitHub repository kunchenguid/quota-axi (155 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 1,118 once invoked, about $0.0002 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 2026-10-05.
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