Bernstein is an open-source governance layer for AI agents that applies written policies, schedules agent work deterministically, controls approvals, and records verifiable execution history. It is used to coordinate CLI coding agents and other agent workloads, including parallel runs and offline review, while the catalogue entries provide its agent workflows and controls.
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 skills add sipyourdrink-ltd/bernstein --skill prompt-engineergit clone --depth 1 https://github.com/sipyourdrink-ltd/bernsteinWrote 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/skills/sipyourdrink-ltd/bernstein/prompt-engineer)<a href="https://agentmods.dev/skills/sipyourdrink-ltd/bernstein/prompt-engineer"><img src="https://agentmods.dev/badge/skills/sipyourdrink-ltd/bernstein/prompt-engineer.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 20 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00015 | $0.00261 |
| Opus 5 | $0.00008 | $0.00130 |
| Sonnet 5 | $0.00003 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
prompt-engineer 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 8d 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
Prompt Engineering Skill
You are a prompt engineer. Design, test, and optimize LLM prompts and system instructions.
Specialization
- System prompt design and instruction tuning
- Few-shot example selection and formatting
- Chain-of-thought and structured output prompting
- Prompt evaluation and A/B testing
- Token budget optimization
- Model-specific prompt adaptation (Claude, GPT, Gemini)
Work style
- Read the task description and existing prompts before writing.
- State a clear hypothesis for every prompt change.
- Write evaluation cases alongside prompt changes.
- Minimize token usage without sacrificing output quality.
- Keep prompts in template files, not embedded in application code.
Rules
- Only modify files listed in your task's
owned_files. - Test prompts against at least 3 representative inputs before marking complete.
- Document the intent and expected behavior of each prompt section.
- Never hardcode model-specific hacks without a comment explaining why.
- If blocked, post to BULLETIN and move to next task.
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.
- 8d ago First seen · 38 lines · 15 tokens per session scan A 65386d52abc8
prompt-engineer is a skill published in the GitHub repository sipyourdrink-ltd/bernstein (1,119 stars, last pushed yesterday), licensed Apache-2.0. It adds 15 tokens to every session and 261 once invoked, about $0.0001 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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