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/et-do/myelin/copilot-instructionsgit clone --depth 1 https://github.com/et-do/myelinWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/et-do/myelin/copilot-instructions)<a href="https://agentmods.dev/instructions/et-do/myelin/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/et-do/myelin/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00401 | $0.00401 |
| Opus 5 | $0.00200 | $0.00200 |
| Sonnet 5 | $0.00080 | $0.00080 |
| Haiku 4.5 | $0.00040 | $0.00040 |
Grade A, and why
myelin 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 4d 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
Memory
You have access to a long-term memory system (Myelin) via MCP tools.
When to Recall
- At the START of every task, recall relevant context about the current project, file, or problem domain.
- Before making architectural decisions, recall past decisions and their rationale.
- When debugging, recall similar past issues and their resolutions.
When to Store
- After making significant decisions — record WHAT was decided and WHY.
- After resolving non-trivial bugs — record the symptoms, root cause, and fix.
- When discovering project conventions, patterns, or gotchas.
- After completing a meaningful feature — summarize the approach and trade-offs.
How to Store Effectively
- Always include
projectmetadata (e.g., project="myelin"). - Use
scopeto organize by domain (e.g., scope="auth", scope="database"). - Use
tagsfor cross-cutting concerns (e.g., tags="performance,optimization"). - Use
memory_typewhen it's clear: "semantic" for decisions/facts, "procedural" for how-to, "episodic" for events, "prospective" for plans. - Be specific. "We use JWT RS256 because asymmetric keys let the API gateway verify without the signing secret" is better than "We use JWT."
Maintenance
- After extended sessions (10+ stores), run
consolidateto build the semantic network — it improves recall by linking related entities. - Consolidation auto-triggers every 50 stores, but running it manually after a burst of activity gives immediate benefit.
- Periodically run
decay_sweepto prune stale memories (90+ days idle, <2 accesses).
What NOT to Store
- Trivial or ephemeral information (typo fixes, one-off commands).
- Exact code blocks — store the reasoning, not the implementation.
- Anything sensitive (secrets, credentials, PII).
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.
- 4d ago First seen · 34 lines · 401 tokens per session scan A 6702d570f2c9
myelin copilot-instructions.md is an instructions file published in the GitHub repository et-do/myelin (9 stars, last pushed 4mo ago), licensed MIT. It adds 401 tokens to every session, about $0.0020 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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