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 skills/sipyourdrink-ltd/bernstein/bernstein-qualitynpx skills add sipyourdrink-ltd/bernstein --skill bernstein-qualitygit clone --depth 1 https://github.com/sipyourdrink-ltd/bernsteinWhat 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 | $0.00044 | $0.00422 |
| Opus 5 | $0.00022 | $0.00211 |
| Sonnet 5 | $0.00009 | $0.00084 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
bernstein-quality 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 yesterday.
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
Bernstein Quality Metrics
Analyze quality and reliability of agent-generated code.
When to Use
- User asks "how reliable are the agents?" or "which model is best?"
- User wants success rates, pass rates, or completion time stats
- User asks about test failures or lint issues across models
- User says "show me quality metrics"
Instructions
-
Run
scripts/quality.sh metricsfor overall quality metrics. -
Run
scripts/quality.sh pass-ratesfor lint/typecheck/test pass rates by model. -
Run
scripts/quality.sh timesfor completion time distributions. -
Present a quality dashboard:
## Quality Dashboard
### Success Rate by Model
| Model | Tasks | Success | Fail | Rate |
|-------|-------|---------|------|------|
| claude-sonnet-4 | 24 | 22 | 2 | 91.7% |
| gpt-4.1 | 12 | 10 | 2 | 83.3% |
### Pass Rates
| Check | Overall | claude-sonnet-4 | gpt-4.1 |
|-------|---------|-----------------|---------|
| Lint | 96% | 98% | 92% |
| Type-check | 88% | 91% | 83% |
| Tests | 85% | 89% | 75% |
### Completion Times
| Percentile | Time |
|------------|------|
| p50 | 3m 20s |
| p90 | 8m 45s |
| p99 | 15m 12s |
- Highlight any models with significantly lower pass rates.
- Recommend model routing adjustments if one model consistently underperforms.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 54 lines · 44 tokens per session scan A cadd98f2ea7d
bernstein-quality is a skill published in the GitHub repository sipyourdrink-ltd/bernstein (1,038 stars, last pushed today), licensed Apache-2.0. It adds 44 tokens to every session and 422 once invoked, about $0.0002 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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