codingbuddy ai-rules.instructions.md

A set of instructions for reviewing AI-agent configuration files and rule documents. It covers agent JSON files, Markdown rules, and keeping the same guidance across several coding tools.

In plain words
What is it for?
It is for checking agent definitions, rule files, schemas, links, headings, and consistency across Cursor, Claude, Codex, Q, Kiro, and Antigravity.
Why use it?
It helps prevent invalid configuration, vague instructions, broken Markdown, and differences between tool-specific versions of the rules.

Instructions file for GitHub Copilot

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/jeremydev87/codingbuddy/ai-rules
Clone the repo
git clone --depth 1 https://github.com/JeremyDev87/codingbuddy

Made for: GitHub Copilot.

Per session 148 This file is loaded in full into every session.
When invoked 148 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 $0.00148 $0.00148
Opus 5 $0.00074 $0.00074
Sonnet 5 $0.00030 $0.00030
Haiku 4.5 $0.00015 $0.00015

Measured 2d ago against content hash 93ae2ff9d387, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codingbuddy ai-rules.instructions.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 2d 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.

.github/instructions/ai-rules.instructions.md · 24 lines

What it actually says

AI Rules Content Review

Agent JSON Files

  • Must conform to agent.schema.json
  • Required fields: name, description, expertise, systemPrompt
  • Expertise array should be specific and actionable

Rule Markdown Files

  • Must be valid Markdown (no broken links, proper heading hierarchy)
  • Instructions must be clear, specific, and actionable
  • Avoid vague directives — provide concrete examples
  • Keep rules consistent across all adapter files

Cross-Tool Consistency

  • Changes to rules must be reflected across all adapters (Cursor, Claude, Codex, Q, Kiro, Antigravity)
  • Agent definitions must be tool-agnostic
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. 2d ago First seen · 24 lines · 148 tokens per session scan A 93ae2ff9d387

Subscribe to this mod's changes

codingbuddy ai-rules.instructions.md is an instructions file published in the GitHub repository JeremyDev87/codingbuddy (31 stars, last pushed 4mo ago), licensed MIT. It adds 148 tokens to every session, about $0.0007 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 2026-08-30.

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