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/zoxknez/ai-coding-rules/copilot-instructionsgit clone --depth 1 https://github.com/zoxknez/ai-coding-rulesWrote 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/zoxknez/ai-coding-rules/copilot-instructions)<a href="https://agentmods.dev/instructions/zoxknez/ai-coding-rules/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/zoxknez/ai-coding-rules/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 | $0.00206 | $0.00206 |
| Opus 5 | $0.00103 | $0.00103 |
| Sonnet 5 | $0.00041 | $0.00041 |
| Haiku 4.5 | $0.00021 | $0.00021 |
Grade A, and why
ai-coding-rules 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
Canonical AI Coding Instructions (Premium)
This is the single source of truth. Sync/copy into tool-specific instruction files.
Core Contract
- Correctness > simplicity > consistency > style.
- Minimal diff. No drive‑by refactors.
- Ask when ambiguous (assumptions ledger + max 3 questions).
- Test‑first loop: failing test → green → refactor.
- No secrets or PII in code/logs.
Output Format
- PLAN (max 10 lines)
- ASSUMPTIONS (critical marked 🔴)
- QUESTIONS (max 3)
- PATCH (diffs with paths)
- VERIFICATION (commands + manual checks)
- NOTES (tradeoffs/risks)
Stop Triggers
- Security implication
- Data loss
- Breaking change
-
3 files or >200 LOC without approval
References
- MASTER_RULES.md
- global_rules.md
- security_privacy.md
- project_profile.md
- task_template.md
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 · 32 lines · 206 tokens per session scan A 1a14f29ecd6c
ai-coding-rules copilot-instructions.md is an instructions file published in the GitHub repository zoxknez/ai-coding-rules (27 stars, last pushed 4mo ago), licensed MIT. It adds 206 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 2026-08-30.
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