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/acn-ericlaw/agent-memory/copilot-instructionsgit clone --depth 1 https://github.com/acn-ericlaw/agent-memoryWhat 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 | $0.00090 | $0.00090 |
| Opus 5 | $0.00045 | $0.00045 |
| Sonnet 5 | $0.00018 | $0.00018 |
| Haiku 4.5 | $0.00009 | $0.00009 |
Grade A, and why
agent-memory 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.
What it actually says
Copilot Instructions — agent-memory
Both a shared AI memory layer and an AI-enablement / migration tool — no-code, markdown.
Follow memory/PROTOCOL.md first. Root AGENTS.md is its
one-line universal discovery shim; the protocol selects internal-memory work versus
AI-enabling another repository.
Identify yourself as GitHub Copilot in all session logs.
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 · 10 lines · 90 tokens per session scan A bd6c5d2352e7
agent-memory copilot-instructions.md is an instructions file published in the GitHub repository acn-ericlaw/agent-memory (5 stars, last pushed 7d ago), licensed Apache-2.0. It adds 90 tokens to every session, about $0.0005 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.
Other instructions, from other repositories
reelier AGENTS.md
Instructions for seldonframe/reelier, covering reelier — what it actually does, 1. one-line identity, 4. skill grammar (what a step can express), 5. substrate reality — this is not git-only and 6. reelier cloud — what it adds over oss.
reelier CLAUDE.md
Instructions for seldonframe/reelier, covering reelier — what it actually does, 1. one-line identity, 4. skill grammar (what a step can express), 5. substrate reality — this is not git-only and 6. reelier cloud — what it adds over oss.
m_flow AGENTS.md
AGENTS.md instructions for FlowElement-xinliuyuansu/m_flow, covering m-flow — developer & agent reference, 1. repository map, extension points, 2. local development and python backend (requires python 3.10 – 3.13).
kungfu copilot-instructions.md
Copilot instructions for kungfu-systems/kungfu: Read and follow AGENTS.md before proposing or running changes. It is the shared agent router for this repository, including the canonical Shifu development and build entrypoint.
amfs CLAUDE.md
Instructions for raia-live/amfs, covering amfs memory — agent instructions, available mcp tools, identity, brain tools (agent-scoped) and shared knowledge tools.
docmancer copilot-instructions.md
Instructions for docmancer/docmancer, covering docmancer, workflow and core commands.