blast-radius-predictor AGENTS.md

blast-radius-predictor AGENTS.md is an instructions file for Codex, OpenCode from rereindev/blast-radius-predictor. It costs 3,233 tokens per session, scanned A, original, MIT.

Repository instructions for AI coding agents working on the Blast Radius project. AGENTS.md is a file that records project rules, working practices, and sources of truth for agents and developers.

In plain words
What is it for?
Use it when working in the repository to follow its issue-based workflow, read the required design documents, and align changes with the project's stated architecture and expectations.
Why use it?
It tells contributors where to find the design, how work is coordinated, and what must be checked before changing code.

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/rereindev/blast-radius-predictor/agents-md
Clone the repo
git clone --depth 1 https://github.com/rereindev/blast-radius-predictor

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 blast-radius-predictor AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/rereindev/blast-radius-predictor/agents-md.svg)](https://agentmods.dev/instructions/rereindev/blast-radius-predictor/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/rereindev/blast-radius-predictor/agents-md"><img src="https://agentmods.dev/badge/instructions/rereindev/blast-radius-predictor/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,233 This file is loaded in full into every session.
When invoked 3,233 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 5.1 $0.03233 $0.03233
Opus 5 $0.01617 $0.01617
Sonnet 5 $0.00647 $0.00647
Haiku 4.5 $0.00323 $0.00323

Measured 5d ago against content hash dab8de8bf989, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

blast-radius-predictor 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 5d 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 · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents working in this repository, following the agents.md convention. CLAUDE.md is a one-line pointer here so Claude Code picks it up — keep both in sync if you edit one.

This is a hackathon project for the Splunk AI Hackathon. We are building a predictive Blast Radius tool that pushes future-cascade impact into Splunk alert payloads at the moment they fire.

How we work

GitHub Issues are the coordination source of truth. Multiple humans and multiple agents work in this repo in parallel; all coordination happens there, not in chat logs, not in TODO comments.

Before you write code:

  1. Read the design first: design_and_plan.html. It is the frozen vision — architecture diagram, the 16 sub-projects, Splunk capability map, and the demo storyboard. Open it in a browser; it is not meant to be skimmed as raw HTML.

  2. Read the market analysis: blast_radius_observability_CN.md. It defines the differentiation thesis. Do not propose features that undercut "forward-propagation prediction" — that is the only defensible angle.

  3. Pick an open issue. Issues are numbered #1–#16, mapped 1:1 to the sub-projects in the design. The pinned tracker is #17 — Coordination: Blast Radius Predictor; it lists everything by milestone. Filter by milestone M1 — Thin Slice first if you are running autonomously.

  4. Claim it by commenting "taking this" or assigning yourself. One agent per issue at a time.

  5. Respect hotspot rules. Any PR that touches:

    • src/brp/propagation/engine.py (the core algorithm — its signature is consumed by #6, #8, #11, #15)
    • src/brp/propagation/models.py (shared dataclasses)
    • splunk_app/blast_radius_predictor/default/app.conf, alert_actions.conf
    • pyproject.toml
    • AGENTS.md, README.md, PROGRESS.md, design_and_plan.html

    should carry the hotspot label. Only one open hotspot PR at a time. If one is already open, pick a different issue.

  6. Work on a branch; open a PR whose description includes Closes #<issue-number>. Small, focused PRs over big ones.

  7. Don't silently expand scope. If your work reveals new problems, file a new issue rather than bundling it into the current PR. Especially: do not add a new Splunk dependency, alter the propagation engine signature, or modify the alert payload schema without an issue.

  8. Demo Splunk instance is shared state. Before running anything that writes to the Splunk Demo environment (Custom Alert Action installs, ITSI service writes, Detector creates), coordinate in the relevant issue so nobody else's fixtures collapse.

Read the full file on GitHub · 164 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. 5d ago First seen · 164 lines · 3,233 tokens per session scan A dab8de8bf989

Subscribe to this mod's changes

blast-radius-predictor AGENTS.md is an instructions file published in the GitHub repository rereindev/blast-radius-predictor (2 stars, last pushed 3mo ago), licensed MIT. It adds 3,233 tokens to every session, about $0.0162 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 instructions, from other repositories

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

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).

microsoft/vscode · 6,785 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens

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.

vercel/next.js · 7,296 tokens

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.

langchain-ai/langchain · 4,469 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens