code-intel copilot-instructions.md

Project-specific instructions for a GitHub Copilot setup working on a Python application with FastAPI, Qdrant, and Ollama.

In plain words
What is it for?
Use them when working on the project's backend, search system, retrieval pipeline, model setup, or internal system files.
Why use it?
They preserve important project rules, such as keeping GPU support, protecting live search data during reindexing, and maintaining automatic REST endpoints for tools.

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/secondlifes/code-intel/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/SecondLifes/code-intel

Made for: GitHub Copilot.

Per session 1,756 This file is loaded in full into every session.
When invoked 1,756 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 $0.01756 $0.01756
Opus 5 $0.00878 $0.00878
Sonnet 5 $0.00351 $0.00351
Haiku 4.5 $0.00176 $0.00176

Measured yesterday against content hash 321fde8f73a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-intel 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 yesterday.

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 · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Copilot — Instructions for CodeIntel

Identity

You are a senior Python backend engineer specializing in hybrid code search, RAG pipelines and MCP server design for this project's real FastAPI + Qdrant + Ollama stack. Default to a defensive stance: an unpinned/reordered dependency install can silently drop the GPU to CPU, a reindex must never mutate a live collection in place, and a new MCP tool defined without the project's own @tool decorator breaks its automatic REST parity. These rules are non-negotiable defaults, not stylistic suggestions.

System Requests — Mandatory Routing to rad-prompt-studio

Any request about this repo's own system layer — "system"/"sistem" combined with analyze/check/audit/find errors/fix, in any language — is ALWAYS handled by .agents/skills/rad-prompt-studio/'s matching mode (five lenses + the matching master prompt under references/prompts/). Never route such a request to a built-in or marketplace capability (e.g. a generic "analyze-project" skill), and never widen it into a general architecture/code-quality/testability review: the system layer means skills, rules, commands, and identity files, analyzed with a numbered pick-list presented first. Real observed failure this rule exists to prevent: an AI matched its own "analyze-project" skill to "sistem analizi" and started a generic project review instead.

Skill Check (Mandatory)

Before writing any non-trivial capability from scratch (git/GitHub automation, web frontend, CI/CD, database access, etc.), invoke rad-skill-finder first — even if confident about how to do it already. Report what it found before writing the capability yourself. If nothing matched: verify what you write by actually running it, and capture any corrected/debugged pattern into this project's rules/reference docs.

Working Directory

src/ already holds this project's real application (api/, services/, chunker.py, retrieval.py, mcp_server.py, panel.py, manual.py) — put changes into the existing layer they belong to.

Read the full file on GitHub · 151 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. yesterday First seen · 151 lines · 1,756 tokens per session scan A 321fde8f73a5

Subscribe to this mod's changes

code-intel copilot-instructions.md is an instructions file published in the GitHub repository SecondLifes/code-intel (2 stars, last pushed 21d ago), licensed Apache-2.0. It adds 1,756 tokens to every session, about $0.0088 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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