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 zajalist/hayba --skill hayba-combat-encountergit clone --depth 1 https://github.com/zajalist/haybaWrote 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/zajalist/hayba/hayba-combat-encounter)<a href="https://agentmods.dev/skills/zajalist/hayba/hayba-combat-encounter"><img src="https://agentmods.dev/badge/skills/zajalist/hayba/hayba-combat-encounter/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/zajalist/hayba/hayba-combat-encounter"><img src="https://agentmods.dev/badge/skills/zajalist/hayba/hayba-combat-encounter.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 | $0.00033 | $0.00436 |
| Opus 5.5 | $0.00013 | $0.00174 |
| Sonnet 5.5 | $0.00007 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
hayba-combat-encounter 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.
What it actually says
Block out one combat encounter
When to use
Use for one room or arena with a defined entry, objective, exit, enemy count, and target difficulty. State the expected player path, minimum cover choices, maximum simultaneous threats, and any frame or actor-count caps supplied for the target platform. Keep unknown limits explicitly unknown.
Tool routing
- Read scene_export and actor_list to map existing geometry, spawns, cover, and exits. Capture entry and combat views with editor_capture_viewport. Choose a layout based on approach visibility, flank routes, and escape space, then change only the identified actors with actor_transform or actor_spawn_from_asset.
- Run placement_validate and scene_validate_physics after edits. Check editor_get_state before starting editor_start_pie. Use editor_pie_actor_list to confirm runtime spawns and editor_pie_sightlines for selected eye-to-target collision traces. Always call editor_stop_pie after a session this workflow started; do not take over a user's running session.
- Measure the same encounter path with editor_get_performance_stats when a budget is supplied. If a repeated dressing field dominates the count, consider a targeted PCG workflow, but keep cover and spawn ownership explicit.
- After accepting cover or spawn changes, re-read the affected actors with actor_inspect, save the exact active map with level_save, and check saved, dirty, and verified status. Re-read the encounter actors after saving; if persistence is uncertain, mark the layout unsaved and route it to hayba-world-save-integrity.
Evidence
Report before/after layout, actor identities, cover and route observations, PIE spawn count, sampled sightline results, validation findings, and measured budget comparison. A clear collision trace does not prove visible rendering, navigation, tactical fairness, or AI decision quality. Those need a playtest or Unreal navigation/AI debugger observation.
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 · 25 lines · 33 tokens per session scan A 90069534ec4c
hayba-combat-encounter is a skill published in the GitHub repository zajalist/hayba (13 stars, last pushed 3d ago), licensed MIT. It adds 33 tokens to every session and 436 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 2026-10-04.
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