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 winstonkoh87/Athena-Public --skill semantic-searchgit clone --depth 1 https://github.com/winstonkoh87/Athena-PublicWrote 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/winstonkoh87/athena-public/semantic-search)<a href="https://agentmods.dev/skills/winstonkoh87/athena-public/semantic-search"><img src="https://agentmods.dev/badge/skills/winstonkoh87/athena-public/semantic-search/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/winstonkoh87/athena-public/semantic-search"><img src="https://agentmods.dev/badge/skills/winstonkoh87/athena-public/semantic-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00217 |
| Opus 5 | $0.00010 | $0.00109 |
| Sonnet 5 | $0.00004 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
semantic-search 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 11d 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
The Exocortex Semantic Engine
A direct interface to the local RAG (Retrieval-Augmented Generation) system, wrapping smart_search.py for high-precision knowledge retrieval.
Triggers
"search memory", "find protocol", "do we have a case study on"
Core Mechanics
- Executes
python3 Athena-Public/examples/scripts/smart_search.py "<query>" --limit 5 - Synthesizes the results before pulling the full markdown files into the context window.
Reference Paths
.context/memories/protocols/coding/108-semantic-search-standards.md
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.
- 11d ago First seen · 29 lines · 21 tokens per session scan A 87a472bb51b7
semantic-search is a skill published in the GitHub repository winstonkoh87/Athena-Public (587 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 217 once invoked, about $0.0001 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 2026-08-30.
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