AgentX project-conventions.instructions.md

AgentX project-conventions.instructions.md is an instructions file for GitHub Copilot from jnPiyush/AgentX. It costs 536 tokens per session, scanned A, original, Apache-2.0.

A set of learned rules about a project's coding process, conventions, and common mistakes.

In plain words
What is it for?
Following required research, planning, testing, review, documentation, and quality-check steps when changing a codebase.
Why use it?
It gives coding agents consistent project guidance instead of making them rediscover the same rules in every session.

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/jnpiyush/agentx/project-conventions
Clone the repo
git clone --depth 1 https://github.com/jnPiyush/AgentX

Made for: GitHub Copilot.

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 AgentX project-conventions.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jnpiyush/agentx/project-conventions.svg)](https://agentmods.dev/instructions/jnpiyush/agentx/project-conventions)
Your own site
<a href="https://agentmods.dev/instructions/jnpiyush/agentx/project-conventions"><img src="https://agentmods.dev/badge/instructions/jnpiyush/agentx/project-conventions.svg" alt="Measured on agentmods" height="20"></a>
Per session 536 This file is loaded in full into every session.
When invoked 536 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 $0.00536 $0.00536
Opus 5 $0.00268 $0.00268
Sonnet 5 $0.00107 $0.00107
Haiku 4.5 $0.00054 $0.00054

Measured 4d ago against content hash b34b65cd4c91, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AgentX project-conventions.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 4d 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/project-conventions.instructions.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Conventions (Learned)

This always-on file is a router. Detailed cross-cutting rules live in AGENT-PROTOCOL.md; agent definitions MUST link to that file instead of repeating it.

Required Rules

  • Before any code/docs mutation, start the quality loop as the first tool call. Meet the CLI's risk-based minimum and end with a structured subagent review verdict (loop iterate ... --verdict approved --reviewer <id> --high 0 --medium 0), then loop complete. Check loop status before reporting gate state.
  • Load and follow the Karpathy guidelines for implementation/review. Run .agentx/agentx.ps1 scrub -Path <changed-area> before review or handoff.
  • Engineer work follows Research -> Brainstorm -> Plan -> Design -> Implement -> Scrub -> Test -> Review. Record alternatives before Plan.
  • New ADRs require a matching Model Council artifact. Approved reviews require matching learning capture or the documented skip rationale. Changes to eight or more code files require an execution plan or documented skip token.
  • UI work defaults to browser validation: primary routes, axe scan, and one primary interaction. Report unavailable browser prerequisites instead of silently skipping.
  • Agent model: fields and named council models are advisory. Preserve role behavior across capable models and preserve each agent's tool/permission boundaries.
  • AgentX is zero-copy. Initialize through agentx.initializeLocalRuntime; never copy bundled agent, skill, instruction, template, guide, or prompt trees into a workspace.

Working Conventions

  • Prefer small apply_patch edits with enough context to identify the target.
  • After structural edits, search for removed identifiers and run the narrowest executable check before widening validation.
  • PowerShell ConvertTo-Json can flatten single-element arrays; wrap with @(...).
  • Passing unit tests does not replace validation of UI, wiring, or release boundaries.
  • Keep durable decisions and pitfalls concise in /memories/; keep this router short.

Read the full file on GitHub · 49 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. 4d ago First seen · 49 lines · 536 tokens per session scan A b34b65cd4c91

Subscribe to this mod's changes

AgentX project-conventions.instructions.md is an instructions file published in the GitHub repository jnPiyush/AgentX (15 stars, last pushed today), licensed Apache-2.0. It adds 536 tokens to every session, about $0.0027 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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