SerpentStack copilot-instructions.md

Project-specific instructions for SerpentStack, a command-line tool that finds and installs AI-agent skills and servers, plus a full-stack project template. They describe its code structure, conventions, and main commands.

In plain words
What is it for?
Use them when developing the SerpentStack command-line tool, its FastAPI and React template, or its background-agent features.
Why use it?
They help an agent make changes that fit SerpentStack's existing architecture and 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/benja-pauls/serpentstack/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/Benja-Pauls/SerpentStack

Made for: GitHub Copilot.

Per session 770 This file is loaded in full into every session.
When invoked 770 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 $0.00770 $0.00770
Opus 5 $0.00385 $0.00385
Sonnet 5 $0.00154 $0.00154
Haiku 4.5 $0.00077 $0.00077

Measured 2d ago against content hash 912fa20dca39, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

SerpentStack copilot-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/copilot-instructions.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SerpentStack — GitHub Copilot Instructions

You are working on SerpentStack, a CLI that searches for AI agent skills and MCP servers across every major registry. It also includes a production fullstack template (FastAPI + React + PostgreSQL + Terraform) and persistent background agents.

CLI Architecture

The CLI (cli/) is the primary product. It has zero npm dependencies — Node.js built-ins only.

cli/
  bin/serpentstack.js       # Entry point, argument parsing, command routing
  lib/
    commands/
      search.js             # Cross-registry skill + MCP server search
      add.js                # Install skills from any source
      discover.js           # Project-aware recommendations (detects stack, queries registries)
      skills-init.js        # Download base skills
      skills-update.js      # Update base skills
      persistent.js         # Persistent agent setup + management
      notifications.js      # View agent findings
      stack-new.js          # Scaffold new project from template
      stack-update.js       # Update template files
    utils/
      registries.js         # Registry adapters (Anthropic, skills.sh, awesome, GitHub, MCP)
      ui.js                 # Terminal formatting, colors, spinners, branded output
      config.js             # Project detection and config management
      models.js             # Ollama model detection and management
      agent-utils.js        # OpenClaw workspace management
      github.js             # GitHub API helpers
      fs-helpers.js         # File system utilities

Key Conventions

CLI

  • Zero dependencies — use only Node.js built-ins (fetch, fs, path, readline, etc.)
  • All registry adapters return { name, source, type, description, url, install, stars?, author?, _score }[]
  • type is either 'skill' or 'mcp'
  • Scoring: 0-100 relevance score with source-weighted multipliers
  • Results are deduplicated by normalized name within each type (skills and MCP are separate)
  • MCP server entries include mcpUrl for the install command and tags for scoring
  • UI uses the snake brand (green theme, printHeader(), divider(), spinner())

Read the full file on GitHub · 70 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. 2d ago First seen · 70 lines · 770 tokens per session scan A 912fa20dca39

Subscribe to this mod's changes

SerpentStack copilot-instructions.md is an instructions file published in the GitHub repository Benja-Pauls/SerpentStack (2 stars, last pushed 5mo ago), licensed MIT. It adds 770 tokens to every session, about $0.0038 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.

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