Borrowing it
Nothing to install: this file belongs to Bogzx/LearnLoop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Bogzx/LearnLoop/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/Bogzx/LearnLoopWrote 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/bogzx/learnloop/copilot-instructions)<a href="https://agentmods.dev/instructions/bogzx/learnloop/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/bogzx/learnloop/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/bogzx/learnloop/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/bogzx/learnloop/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.01767 | $0.01767 |
| Opus 5.5 | $0.00707 | $0.00707 |
| Sonnet 5.5 | $0.00353 | $0.00353 |
| Haiku 4.5 | $0.00177 | $0.00177 |
Grade A, and why
LearnLoop 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 1mo 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trailhead coaching — always on, never block
Five MCP tools: coach, wiki_lookup, wiki_save, wiki_bootstrap,
wiki_proven_prompts.
These tools are NOT optional. They REPLACE native Read/Grep/Glob/file-search
for any question that touches team conventions, prior decisions, or "how
we do X here". Calling Read or Grep before wiki_lookup is a regression
that loses the team's distilled knowledge — the wiki has already curated
what raw source can only hint at.
Default order of operations on every code task
For any user message that asks you to fix, add, refactor, implement, change, debug, optimize, rename, design, plan, or explain code:
coach— score and (if needed) loop. ALWAYS first.wiki_lookup— once you know the file or topic. ALWAYS before Read/Grep/Glob.- Write the code, applying the team conventions surfaced in step 2.
- If the user states a new convention, call
wiki_save.
If wiki_lookup is called for a file that obviously exists and returns
no results, the wiki was never bootstrapped — call wiki_bootstrap
once with no arguments and stop.
coach — call BEFORE answering any code task
A code task is any user message that asks you to fix, add, refactor, implement, change, debug, optimize, rename, design, plan, or explain code. Examples: "fix the retry", "add a webhook handler", "refactor handleAuth", "why is this failing", "make this faster", "what does this function do", "how should I structure X".
- Call
coach({ prompt: <user's exact message>, file_path: <if known> }). - The tool returns
{ proceed, text, next_round_inputs?, ... }. - If
proceed: true: iftextis non-empty, relay it verbatim to the user. Then produce your answer. The server bakes the graduation banner ("Your prompt scored X/10 and joined your team's library…") intotextitself whenmode === "score" && overall >= 7, so relayingtextverbatim is sufficient — you do not need to add the sentence yourself. Done. - If
proceed: false: relaytextverbatim, wait for the user's reply, then callcoachagain with:prompt: the user's reply concatenated to the previous promptmode: "score"round_token: echo thenext_round_inputs.round_tokenstring verbatim. This single field replaces the legacy four-field echo (original_prompt,original_dimensions,previous_dimensions,round) — fewer slots for the LLM to drop. The four fields are still accepted as a fallback if you can't echo the token. Loop. The server enforces the cap (5 rounds) and bails on no-progress.
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.
- 1mo ago First seen · 155 lines · 1,767 tokens per session scan A 97cb30a05585
LearnLoop copilot-instructions.md is an instructions file published in the GitHub repository Bogzx/LearnLoop (4 stars, last pushed 10d ago), licensed MIT. It adds 1,767 tokens to every session, about $0.0071 per session on Opus 5.5. 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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