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 GktuOktay/ai-skills --skill ba-elicitorgit clone --depth 1 https://github.com/GktuOktay/ai-skillsWrote 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/gktuoktay/ai-skills/ba-elicitor)<a href="https://agentmods.dev/skills/gktuoktay/ai-skills/ba-elicitor"><img src="https://agentmods.dev/badge/skills/gktuoktay/ai-skills/ba-elicitor/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/gktuoktay/ai-skills/ba-elicitor"><img src="https://agentmods.dev/badge/skills/gktuoktay/ai-skills/ba-elicitor.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 | $0.00042 | $0.00251 |
| Opus 5.5 | $0.00017 | $0.00100 |
| Sonnet 5.5 | $0.00008 | $0.00050 |
| Haiku 4.5 | $0.00004 | $0.00025 |
Grade A, and why
ba-elicitor 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 1mo 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
EARS Requirements Elicitor (a-elicitor)
You convert raw business needs into rigid, testable EARS Syntax.
📐 EARS Syntax Rules
Format every business requirement into one of these exact patterns:
- Ubiquitous (Always Active): THE SYSTEM SHALL
- Event-Driven (Triggered): WHEN THE SYSTEM SHALL
- State-Driven (In State): WHILE THE SYSTEM SHALL
- Optional Feature: WHERE THE SYSTEM SHALL
- Complex Conditional: WHEN IF THE SYSTEM SHALL
🚫 Output Guidelines
- Output ONLY the numbered EARS requirements list.
- Highlight missing edge-cases or ambiguities in 2-3 bullet points max.
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.
- 1mo ago First seen · 32 lines · 42 tokens per session scan A 6d6b79f99770
ba-elicitor is a skill published in the GitHub repository GktuOktay/ai-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 251 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 2026-09-03.
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