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/bmdhodl/agent47/copilot-instructionsgit clone --depth 1 https://github.com/bmdhodl/agent47What 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 | $0.00312 | $0.00312 |
| Opus 5 | $0.00156 | $0.00156 |
| Sonnet 5 | $0.00062 | $0.00062 |
| Haiku 4.5 | $0.00031 | $0.00031 |
Grade A, and why
agent47 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
AgentGuard Copilot Review Instructions
Review this repo as a public SDK + MCP project, not as the private dashboard.
Priorities:
- Preserve the SDK/dashboard boundary. Do not suggest dashboard, billing, or private control-plane changes in this repo.
- Keep the SDK free, MIT, zero-dependency, and local-first.
- Favor coding-agent safety and runtime enforcement over generic observability, analytics, or prompt tooling.
- Keep MCP scope narrow: read access to traces, alerts, usage, costs, and budget health.
When reviewing changes, prioritize:
- runtime correctness and regression risk
- schema/contract drift between SDK output and hosted ingest expectations
- local-first onboarding:
doctor,demo,quickstart, starter files - package metadata and docs consistency across README, PyPI, npm, and MCP registry metadata
- architectural invariants in
sdk/tests/test_architecture.py - release-gate and proof quality for user-visible or release-facing changes
Push back on:
- new hard dependencies in
sdk/agentguard - broad "AI agent platform" wording that weakens the coding-agent wedge
- speculative abstractions, framework sprawl, or generic observability drift
- changes that move hosted-only behavior into the public SDK path without evidence
Assume the best PRs in this repo are:
- small, composable, and evidence-backed
- explicit about scope and non-goals
- validated with targeted tests, lint, and release/doc sync checks
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 · 34 lines · 312 tokens per session scan A b5c8dc33feba
agent47 copilot-instructions.md is an instructions file published in the GitHub repository bmdhodl/agent47 (4 stars, last pushed 3d ago), licensed MIT. It adds 312 tokens to every session, about $0.0016 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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