Borrowing it
Nothing to install: this file belongs to shiwani42/Mike. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shiwani42/Mike/main/AGENTS.mdgit clone --depth 1 https://github.com/shiwani42/MikeWrote 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/instructions/shiwani42/mike/agents-md)<a href="https://agentmods.dev/instructions/shiwani42/mike/agents-md"><img src="https://agentmods.dev/badge/instructions/shiwani42/mike/agents-md/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/instructions/shiwani42/mike/agents-md"><img src="https://agentmods.dev/badge/instructions/shiwani42/mike/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.05655 | $0.05655 |
| Opus 5.5 | $0.02262 | $0.02262 |
| Sonnet 5.5 | $0.01131 | $0.01131 |
| Haiku 4.5 | $0.00566 | $0.00566 |
Grade C, and why
Mike AGENTS.md scanned grade C with 2 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
find splunk_app/ima/bin/lib -type d -name __pycache__ -exec rm -rf {} + Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`urllib.request` in `_ima_common.py` instead of `httpx` to avoid How it starts
The opening of the file, as written. The whole thing — 479 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - Institutional Memory Agent
Brief for AI coding agents (Claude Code, Cursor, GitHub Copilot, etc.) picking up this project. Read top-to-bottom before making changes. The gotchas section below encodes the debugging we already went through - skip it and you'll relearn each one.
For the public-facing project overview, see README.md. For the design diagram
and data flow, see ARCHITECTURE.md. This file is the operational handoff.
0. One-paragraph orientation
ima ("Institutional Memory Agent") is a Splunk-native system that captures
SOC analyst reasoning on alert closures, persists it to Splunk KV Store, and
exposes the resulting institutional knowledge graph through four surfaces:
a Python CLI, custom search commands inside Splunk, a Splunk modular input
that runs autonomously, and a Model Context Protocol (MCP) server for
external AI agents. The LLM extraction step is built against Splunk's
hosted Foundation-Sec-1.1-8B; locally it runs Llama-3.1-8B-Instruct via
Ollama as a stand-in (swap is a one-line .env change).
See section 7 for the full coding/writing conventions to follow on any change.
1. Run it locally (commands that always work)
# from repo root, after bootstrap
.\.venv\Scripts\Activate.ps1
ima auth check # verify Splunk REST is reachable
ima kv init # create KV Store collections
ima demo seed --clear # wipe + seed 10 realistic annotations
ima knowledge build # cluster via Ollama, ~3 min on CPU
ima knowledge query "finance Monday" # semantic-search the graph
ima knowledge about acct-prod-01 # per-asset memory card
ima alerts watch --interval 0 --earliest -10m # single-pass poll for unannotated alerts
ima mcp serve # stdio MCP server (Claude Desktop)
ima mcp serve --http --port 8765 # HTTP MCP server (remote agents)
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.
- 1mo ago First seen · 479 lines · 5,655 tokens per session scan C 031673049d05
Mike AGENTS.md is an instructions file published in the GitHub repository shiwani42/Mike (0 stars, last pushed 4mo ago), licensed MIT. It adds 5,655 tokens to every session, about $0.0226 per session on Opus 5.5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.