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 agentmods add skills/binary16labs/prime-silo/knowledge_searchnpx skills add binary16labs/prime-silo --skill knowledge_searchgit clone --depth 1 https://github.com/binary16labs/prime-siloWhat 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 | $0.00015 | $0.00212 |
| Opus 5 | $0.00008 | $0.00106 |
| Sonnet 5 | $0.00003 | $0.00042 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
knowledge_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 2d 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
Usage
Use this skill when you need to answer questions or find information within the user's workspace documents. It is backed by ChromaDB and local embeddings. You can search semantically, list all available documents, or retrieve an entire document's contents.
Tools
search_knowledge_workspace(query, workspace="default", top_k=20, active_nexus_id=None)- Perform semantic search and return relevant text chunks with relevance scores.list_available_documents(workspace="default")- Returns a list of all documents currently ingested into the ChromaDB knowledge base.read_full_document(document_name, workspace="default")- Retrieves the complete text of a specified document.
Examples
Action: search_knowledge_workspace
Action Input: {"query": "governance policies for the Pypes engine"}
Observation: Returns chunks of requirement.md discussing Pypes engine governance.
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.
- 2d ago First seen · 21 lines · 15 tokens per session scan A 32622972deb9
knowledge_search is a skill published in the GitHub repository binary16labs/prime-silo (5 stars, last pushed 9d ago), licensed MIT. It adds 15 tokens to every session and 212 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 2026-08-31.
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