intel-npu-local-knowledge

intel-npu-local-knowledge is a skill for Codex from etreby/intel-npu-tools. It costs 67 tokens per session (423 once invoked), scanned A, original, MIT.

A skill for searching local files, source code, documentation, and logs by meaning rather than exact words. It uses Intel NPU tools to index selected folders and retrieve relevant passages.

In plain words
What is it for?
Use it to index a project or document folder, search for relevant passages, refresh an existing index, and cite the files and line numbers found.
Why use it?
It helps an agent find useful local context without uploading project files.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to index a project or document folder, search for relevant passages, refresh an existing index, and cite the files and line numbers found.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/etreby/intel-npu-tools/intel-npu-local-knowledge
Install

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.

Any agent
npx skills add etreby/intel-npu-tools --skill intel-npu-local-knowledge
Clone the repo
git clone --depth 1 https://github.com/etreby/intel-npu-tools

Made for: Codex.

Wrote 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.

agentmods badge for intel-npu-local-knowledge

README.md
[![agentmods](https://agentmods.dev/badge/skills/etreby/intel-npu-tools/intel-npu-local-knowledge/github.svg)](https://agentmods.dev/skills/etreby/intel-npu-tools/intel-npu-local-knowledge)
Your own site
<a href="https://agentmods.dev/skills/etreby/intel-npu-tools/intel-npu-local-knowledge"><img src="https://agentmods.dev/badge/skills/etreby/intel-npu-tools/intel-npu-local-knowledge/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.

agentmods 80×15 button for intel-npu-local-knowledge

Your own site · 80×15
<a href="https://agentmods.dev/skills/etreby/intel-npu-tools/intel-npu-local-knowledge"><img src="https://agentmods.dev/badge/skills/etreby/intel-npu-tools/intel-npu-local-knowledge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 423 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.00423
Opus 5 $0.00034 $0.00211
Sonnet 5 $0.00013 $0.00085
Haiku 4.5 $0.00007 $0.00042

Measured 8d ago against content hash 741198516814, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

intel-npu-local-knowledge 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 8d 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.

examples/skills/intel-npu-local-knowledge/SKILL.md · 32 lines

What it actually says

Intel NPU Local Knowledge

Use the intel-npu-tools MCP server to retrieve relevant local passages. Keep indexed scope explicit and cite returned paths and line numbers.

Workflow

  1. Call semantic_index_status to inspect existing roots.
  2. If the requested file or directory is absent or may have changed, ask for its path when unknown, then call semantic_index once. Index only the scope relevant to the task.
  3. Call semantic_search with a specific natural-language query. Pass root when results must stay within one indexed tree. Start with limit=5.
  4. Answer from the returned passages and cite each local path with its starting line. Distinguish retrieved facts from inference.
  5. Refine the query when results are weak or ambiguous. Do not repeatedly re-index unchanged content; indexing is incremental.

Tool guidance

  • semantic_index(path): Index one supported text file or recursively index a directory on the Intel NPU.
  • semantic_search(query, limit, root): Return ranked passages with similarity score, path, line range, and text.
  • semantic_index_status(): Return database location, roots, file count, and chunk count.

Treat scores as ranking signals, not calibrated probabilities. Prefer passages that directly address the query and verify critical details against the cited file when a file-reading tool is available.

Privacy and boundaries

  • Index only paths the user placed in scope.
  • Do not index credential stores, browser profiles, key directories, or unrelated home folders.
  • Local text chunks and embeddings persist in the SQLite index until the toolkit data directory is removed.
  • The MCP transport is local stdio; no indexed text is uploaded by this toolkit.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 8d ago First seen · 32 lines · 67 tokens per session scan A 741198516814

Subscribe to this mod's changes

intel-npu-local-knowledge is a skill published in the GitHub repository etreby/intel-npu-tools (0 stars, last pushed 26d ago), licensed MIT. It adds 67 tokens to every session and 423 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

pinecone-research

Agent RAG and long-term memory with Pinecone.

NousResearch/hermes-agent · 16 tokens

langchain

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG…

davila7/claude-code-templates · 79 tokens

potpie-graph

Use when the task can read or write the project-memory graph through the potpie CLI: discover the contract with graph catalog, read named views with graph read, resolve entity identity with graph search-entities, create validated plans with graph propose, commit plans with graph commit --verify, inspect quality with…

potpie-ai/potpie · 94 tokens

potpie-repo-baseline

Use when establishing, refreshing, or deeply understanding a repository's baseline memory in Potpie: purpose, application type, features, services/modules, environments, deploy shape, dependencies, API contracts, datastores, integrations, ownership, and explicit preferences. The harness reads authored and…

potpie-ai/potpie · 75 tokens

potpie-debug-memory

Use while debugging or troubleshooting failures, flaky tests, incidents, production alerts, CI failures, local dev setup issues, repeated bugs, prior fixes, failed attempts, and verification history.

potpie-ai/potpie · 41 tokens

create-atomic-context-provider

Build a BaseDynamicContextProvider that injects a named, titled block into an agent's system prompt at every run() — current time, user identity, retrieved RAG docs, session state, cached DB schema. Use when the user asks to "add a context provider", "inject X into the prompt", "give the agent dynamic context", "wire…

Eigenwise/atomic-agents · 106 tokens