Koshi: Instructions file for Codex

AGENTS.md

Koshi AGENTS.md is an instructions file for Codex, OpenCode from jsharma1105/Koshi. It costs 1,869 tokens per session, scanned A, original, MIT.

A set of ready-made instructions for using Koshi, a tool server that indexes code and documents, stores and recalls project knowledge, packs prompt context, and evaluates AI interactions. It provides five role-specific agents for compatible coding assistants.

In plain words
What is it for?
Use it to add Koshi agent personas to GitHub Copilot CLI, Microsoft Agency CLI, Claude Code, or Claude Desktop. The instructions also cover installing Koshi with Python or the .NET tool.
Why use it?
It gives each kind of Koshi task a focused role, so an assistant can search project material, manage shared knowledge, prepare context, assess AI work, or route broader requests without manually choosing among all available tools.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

This is jsharma1105/Koshi's own configuration. It tells Codex and OpenCode how to work on Koshi itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Koshi configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jsharma1105/Koshi. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jsharma1105/Koshi/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/jsharma1105/Koshi

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,869 This file is loaded in full into every session.
When invoked 1,869 The same file — it is already loaded in full.
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 $0.01869 $0.01869
Opus 5.5 $0.00748 $0.00748
Sonnet 5.5 $0.00374 $0.00374
Haiku 4.5 $0.00187 $0.00187

Measured 1mo ago against content hash 9b7ee8a41c1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Koshi 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 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.

AGENTS.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Koshi Sub-Agent Personas

Five focused personas that wrap the Koshi MCP server's 24 tools into role-specific agents you can invoke from MCP-compatible clients (GitHub Copilot CLI, Claude Code, Cursor, Windsurf, Agency, …).

The same five personas ship in two formats:

Format Location Used by
Copilot CLI / Agency .github/copilot/agents/*.agent.md GitHub Copilot CLI, Microsoft Agency CLI
Claude Code .claude/agents/*.md Claude Code, Claude Desktop

Personas

Persona Pillar Tools When to use
koshi-librarian Retrieval 5 + diagnostics Index code/docs and search them.
koshi-memory-keeper Memory 9 + diagnostics Store / recall facts, decisions, patterns, preferences; vault export/import/sync; turn-end auto-capture.
koshi-context-packer Context 3 + read-only retrieval/recall Plan token budgets and pack prompt windows for cache reuse.
koshi-quality-coach Quality 5 + diagnostics Score AI interactions per team, surface trends, recommend tuning.
koshi-orchestrator All All 24 Generalist that routes cross-pillar requests.

Each persona enforces single-responsibility boundaries — for example, koshi-librarian will refuse to call memory or team tools and will hand off to the right persona instead.


Prerequisites

Pick one — every flavor talks to the same MCP server.

Python (pip install koshi)

pip install koshi

That's it. The first Client() call auto-downloads a matching koshi-mcp native AOT binary into your user cache, verifying it against the SHA-256 baked into the wheel. No .NET install required.

from koshi import Client
with Client() as koshi:
    print(koshi.version())

The personas below are informational in Python — they describe how to scope the 24 tools into role-specific prompts when you wire Koshi into Claude Code / Copilot CLI from a Python-only host. The agent-installer below is .NET-only.

Read the full file on GitHub · 173 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. 1mo ago First seen · 173 lines · 1,869 tokens per session scan A 9b7ee8a41c1e

Subscribe to this mod's changes

Koshi AGENTS.md is an instructions file published in the GitHub repository jsharma1105/Koshi (2 stars, last pushed 2mo ago), licensed MIT. It adds 1,869 tokens to every session, about $0.0075 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 2026-08-31.

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