threadbase copilot-instructions.md

A set of instructions for coding assistants working on the Threadbase project. It explains which generated project summaries and memory files to read, update, or regenerate.

In plain words
What is it for?
Use it when making significant Threadbase changes that require checking project context, reading decisions, updating memory, or regenerating summaries.
Why use it?
It helps the assistant preserve project decisions and current context across work, while reducing the risk of using stale instructions or losing important notes.

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/ani3198/threadbase/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/ani3198/threadbase

Made for: GitHub Copilot.

Per session 195 This file is loaded in full into every session.
When invoked 195 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 $0.00195 $0.00195
Opus 5 $0.00097 $0.00097
Sonnet 5 $0.00039 $0.00039
Haiku 4.5 $0.00019 $0.00019

Measured yesterday against content hash 12d6c606dd6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

threadbase 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 · 12 lines

What it actually says

Threadbase Instructions for GitHub Copilot

  • Read .ai/generated/index.md before making important changes.
  • If .ai/generated/index.md is missing or empty, generate it from scratch using .ai/prompts/generate_index.md before meaningful implementation work.
  • Read .ai/generated/context.md when the task needs broader project state, active constraints, or recent cross-cutting changes.
  • If .ai/generated/context.md is missing or empty, generate it from scratch using .ai/prompts/generate_context.md before meaningful implementation work.
  • Keep generated files compact and only open relevant files under .ai/memory/* when deeper detail is needed.
  • Use .ai/memory/* as the source of truth for decisions, changes, requirements, and issues.
  • Update project memory after meaningful work.
  • Regenerate index/context from memory when either file is missing, empty, or stale.
  • Do not store secrets in Threadbase files.
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 · 12 lines · 195 tokens per session scan A 12d6c606dd6b

Subscribe to this mod's changes

threadbase copilot-instructions.md is an instructions file published in the GitHub repository ani3198/threadbase (4 stars, last pushed 2mo ago), licensed MIT. It adds 195 tokens to every session, about $0.0010 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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