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.
npx agentmods add instructions/benja-pauls/serpentstack/copilot-instructionsgit clone --depth 1 https://github.com/Benja-Pauls/SerpentStackWhat 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 | $0.00770 | $0.00770 |
| Opus 5 | $0.00385 | $0.00385 |
| Sonnet 5 | $0.00154 | $0.00154 |
| Haiku 4.5 | $0.00077 | $0.00077 |
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.
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 }[] typeis 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
mcpUrlfor the install command andtagsfor scoring - UI uses the snake brand (green theme,
printHeader(),divider(),spinner())
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.
- 2d ago First seen · 70 lines · 770 tokens per session scan A 912fa20dca39
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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