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-data-balance-passgit 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-data-balance-pass)<a href="https://agentmods.dev/skills/zajalist/hayba/hayba-data-balance-pass"><img src="https://agentmods.dev/badge/skills/zajalist/hayba/hayba-data-balance-pass/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-data-balance-pass"><img src="https://agentmods.dev/badge/skills/zajalist/hayba/hayba-data-balance-pass.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 | $0.00030 | $0.00361 |
| Opus 5.5 | $0.00012 | $0.00144 |
| Sonnet 5.5 | $0.00006 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
hayba-data-balance-pass 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
Tune one gameplay value
When to use
Use when a concrete gameplay metric points to one owned DataAsset value: cooldown, movement speed, damage, range, or similar. Write down the baseline, intended range, test scenario, and any designer constraints before editing. Change one variable at a time so the observed effect has a plausible cause.
Tool routing
- Read data_get and inspect whether reflection is complete or truncated. Find the exact property and type, then use get_tool_signature for data_set. This writer supports only bounded built-in scalar types; it does not author arrays, structs, text, or object references.
- Call data_set once and inspect its verification, observed value, target re-resolution, and dirty state. If the result is uncertain, re-read the exact asset with data_get before retrying. Save with asset_save only after the readback matches the intended value.
- Exercise the affected behavior in an existing focused test with test_list, test_run, and test_get_log, or use an authorized PIE scenario with editor_get_state, editor_start_pie, one concrete runtime observation through editor_pie_actor_inspect or editor_pie_assert, then editor_stop_pie. A single assertion is one observation; poll separately if state changes over time.
Evidence
Report asset and property, baseline and saved value, test conditions, before/after gameplay metric, warnings, and unresolved effects. A changed property does not establish balance or causality when other variables changed or no representative play session was measured.
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 · 24 lines · 30 tokens per session scan A 198a575e3b7f
hayba-data-balance-pass is a skill published in the GitHub repository zajalist/hayba (13 stars, last pushed 3d ago), licensed MIT. It adds 30 tokens to every session and 361 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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