mcp-ollama-python AGENTS.md

mcp-ollama-python AGENTS.md is an instructions file for Codex, OpenCode from pblagoje/mcp-ollama-python. It costs 955 tokens per session, scanned A, original, MIT.

A project instruction file for mcp-ollama-python that requires using a local Ollama model and GitNexus, a tool for exploring code relationships and execution flows, during coding work.

In plain words
What is it for?
It helps analyze a repository, inspect symbol relationships, assess the effects of proposed edits, and use Ollama's response as the primary answer when available.
Why use it?
It gives the agent a prescribed source of reasoning and requires impact analysis before changing code, reducing the chance of overlooking affected callers or processes.

Instructions file for CodexOpenCode

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.

agentmods
npx agentmods add instructions/pblagoje/mcp-ollama-python/agents-md
Clone the repo
git clone --depth 1 https://github.com/pblagoje/mcp-ollama-python

Made for: Codex, OpenCode.

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 mcp-ollama-python AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/pblagoje/mcp-ollama-python/agents-md.svg)](https://agentmods.dev/instructions/pblagoje/mcp-ollama-python/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/pblagoje/mcp-ollama-python/agents-md"><img src="https://agentmods.dev/badge/instructions/pblagoje/mcp-ollama-python/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 955 This file is loaded in full into every session.
When invoked 955 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00955 $0.00955
Opus 5 $0.00477 $0.00477
Sonnet 5 $0.00191 $0.00191
Haiku 4.5 $0.00096 $0.00096

Measured 3d ago against content hash e4dd153a5e1a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-ollama-python AGENTS.md 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 3d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When performing coding tasks, code review, or reasoning:

  1. Call the MCP ollama server with model "gpt-oss"
  2. Present the ollama response as the primary answer
  3. Only use your own reasoning if ollama is unavailable

GitNexus — Code Intelligence

This project is indexed by GitNexus as mcp-ollama-python (3035 symbols, 8959 relationships, 79 execution flows). Use the GitNexus MCP tools to understand code, assess impact, and navigate safely.

Index stale? Run node .gitnexus/run.cjs analyze from the project root — it auto-selects an available runner. No .gitnexus/run.cjs yet? npx gitnexus analyze (npm 11 crash → npm i -g gitnexus; #1939).

Always Do

  • MUST run impact analysis before editing any symbol. Before modifying a function, class, or method, run impact({target: "symbolName", direction: "upstream"}) and report the blast radius (direct callers, affected processes, risk level) to the user. For unified PDG impact, add mode: "pdg" with optional line: <N> — it returns statement-level affectedStatements over CDG + REACHING_DEF and inter-procedural symbols in interproceduralByDepth/byDepth; no-layer/degraded PDG results are UNKNOWN-risk notes (--pdg layer).
  • MUST run detect_changes() before committing to verify your changes only affect expected symbols and execution flows. For regression review, compare against the default branch: detect_changes({scope: "compare", base_ref: "main"}).
  • MUST warn the user if impact analysis returns HIGH or CRITICAL risk before proceeding with edits.
  • When exploring unfamiliar code, use query({search_query: "concept"}) to find execution flows instead of grepping. It returns process-grouped results ranked by relevance.
  • When you need full context on a specific symbol — callers, callees, which execution flows it participates in — use context({name: "symbolName"}).
  • For security review, explain({target: "fileOrSymbol"}) lists taint findings (source→sink flows; needs analyze --pdg).
  • For control/data dependence, pdg_query({mode: "controls", target: "fileOrSymbol"}) answers "under what condition does X run?" (CDG, incl. guard clauses) and pdg_query({mode: "flows", target, variable}) traces "where does variable Y flow?" (REACHING_DEF). --pdg layer.

Read the full file on GitHub · 51 lines

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. 3d ago First seen · 51 lines · 955 tokens per session scan A e4dd153a5e1a

Subscribe to this mod's changes

mcp-ollama-python AGENTS.md is an instructions file published in the GitHub repository pblagoje/mcp-ollama-python (5 stars, last pushed 11d ago), licensed MIT. It adds 955 tokens to every session, about $0.0048 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.