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 pariyar07/kybernetes --skill kybernetes-loop-architectgit clone --depth 1 https://github.com/pariyar07/kybernetesWrote 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/pariyar07/kybernetes/kybernetes-loop-architect)<a href="https://agentmods.dev/skills/pariyar07/kybernetes/kybernetes-loop-architect"><img src="https://agentmods.dev/badge/skills/pariyar07/kybernetes/kybernetes-loop-architect/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/pariyar07/kybernetes/kybernetes-loop-architect"><img src="https://agentmods.dev/badge/skills/pariyar07/kybernetes/kybernetes-loop-architect.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 | $0.00029 | $0.00939 |
| Opus 5.5 | $0.00012 | $0.00376 |
| Sonnet 5.5 | $0.00006 | $0.00188 |
| Haiku 4.5 | $0.00003 | $0.00094 |
Grade A, and why
kybernetes:loop-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 2mo 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kybernetes Loop Architect
This is an advisory helper, not a governor. It designs or reframes loop shape and returns a proposal. It cannot mutate parent canonical lifecycle state, accept completion, activate detached machinery, or spend beyond its boundary.
Invoke When
Invoke when one or more apply:
- decision consequence is high and unresolved uncertainty could change action;
- high/extreme work needs activation, topology, feedback, or continuity design;
- a major reframe changes objective, evidence, side effects, or ownership;
- runtime capability loss requires a new substrate or migration architecture.
Do not invoke for clear, reversible, immediately verifiable routine work. Task length alone is neither necessary nor sufficient.
Required Inputs
- Objective, explicit program kind, and current evidence gaps.
- For finite work, measurable DONE and its completion verifier; for continuing work, the health invariant, review horizon, and cycle verifier.
- Constraints, permissions, external effects, reversibility, and HITL boundary.
- Duration, cadence, activation source, continuity, concurrency, and budget.
- Available verifier types and observed runtime capabilities.
- Parent control-record pointer and canonical revision when governed.
If a required input is absent, return the smallest question or explicit assumption that changes the architecture. Do not invent authority.
Generate Lenses
Generate lenses dynamically from material uncertainties in this task. Each lens must have a distinct question, competence needed, evidence to inspect, likely blind spot, and rejection criterion. Use the minimum set that exposes important tradeoffs. Do not select from a fixed personality or profession roster.
Run lenses independently before synthesis. Record for each:
- claim and recommended control move;
- evidence and source quality;
- assumptions and confidence;
- risks or conditions that would reverse it.
The synthesis must preserve disagreement rather than averaging it away. Lens output is comparator augmentation, never verification.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 114 lines · 29 tokens per session scan A dd6f1ad1813f
kybernetes:loop-architect is a skill published in the GitHub repository pariyar07/kybernetes (13 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 939 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 2026-08-30.
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