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/SynkraAI/aiox-coreWrote 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/rules/synkraai/aiox-core/architect)<a href="https://agentmods.dev/rules/synkraai/aiox-core/architect"><img src="https://agentmods.dev/badge/rules/synkraai/aiox-core/architect.svg" alt="Measured on agentmods" 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 | $0.00008 | $0.00277 |
| Opus 5 | $0.00004 | $0.00138 |
| Sonnet 5 | $0.00002 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
architect 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 4d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 4d ago First seen · 32 lines · 8 tokens per session scan A 39fb8207de51
architect is a cursor rule published in the GitHub repository SynkraAI/aiox-core (3,110 stars, last pushed yesterday), with no licence file. It adds 8 tokens to every session and 277 once invoked, about $0.0000 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 2026-09-03.
Other cursor rules, from other repositories
hatch3r-reviewer-calibration
Reviewer runtime confidence-calibration contract: every Nth (default N=5) consecutive clean PASS triggers an out-of-band second-pass review before loop exit; divergence reverts to REQUEST CHANGES; each second pass logs to .hatch3r/calibration-log.jsonl. Canonical source of the N-default and the directive that…
hatch3r-contract-census
Shared-contract discipline for brownfield changes — contract taxonomy, repo-wide consumer census as lane-exit gate, seam-owner protocol for parallel lanes, façade contract-hold on field drop/rename, value-drift census for shared constants.
hatch3r-findings-ledger
Write-ahead findings ledger — every review-loop finding is registered on disk before fix dispatch, folds to a terminal disposition at run exit, and survives interruption; no finding ends a run pending.
hatch3r-model-allocation
Model-class allocation per sub-agent spawn — the frontier | advanced | standard | economy vocabulary, the low | medium | high | xhigh | max effort axis, static per-agent class floors, the max(agent floor, effective-tier class) allocation matrix, an explicit per-spawn model pass, and floor pinning for verdict-class…
hatch3r-fan-out-discipline
P8 B2 floor: sub-agent fan-out scales with task size; serialization is valid only on dependency edges; token cost never justifies under-fan-out. Delegating artifacts emit sub-agent count + rationale as a first-class output field.
hatch3r-clarification-default
P8 B1 floor: every hatch3r-invoked agentic workflow detects and resolves ambiguity via the platform-native question tool BEFORE executing — default behavior, not exception-driven. Names the 5-trigger set and mandates a §0 ambiguity gate on every mutating agent, command, and skill.