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 commands/jmanhype/claude-code-plugin-marketplace/validate-safetygit clone --depth 1 https://github.com/jmanhype/claude-code-plugin-marketplaceWrote 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/commands/jmanhype/claude-code-plugin-marketplace/validate-safety)<a href="https://agentmods.dev/commands/jmanhype/claude-code-plugin-marketplace/validate-safety"><img src="https://agentmods.dev/badge/commands/jmanhype/claude-code-plugin-marketplace/validate-safety.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 5.1 | $0.00000 | $0.00980 |
| Opus 5 | $0.00000 | $0.00490 |
| Sonnet 5 | $0.00000 | $0.00196 |
| Haiku 4.5 | $0.00000 | $0.00098 |
Grade A, and why
validate-safety 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 6d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validate Safety Command
Compute safety scores and evaluate monitor performance across audit budgets.
Usage
/validate-safety --dataset apps_backdoors.json [--model models/gepa_optimized.json] [--epochs 5]
Arguments
--dataset: Evaluation dataset (must have attack + honest labels)--model: Monitor model to evaluate--epochs: Number of evaluation epochs (default: 5)--audit-budgets: Comma-separated budgets to test (default: 0.5,1.0,2.0,5.0)
What It Computes
Safety Metrics
- True Positive Rate (TPR): % of attacks caught
- False Positive Rate (FPR): % of honest code flagged
- Safety @ Budget: Probability of catching attacks given audit budget
Distribution Metrics
- Attack score distribution
- Honest score distribution
- Separation between distributions
Example
/validate-safety \
--dataset datasets/apps_backdoors.json \
--model models/gepa_optimized.json \
--epochs 5 \
--audit-budgets 0.5,1.0,2.0,5.0
Output
================================================================================
SAFETY VALIDATION REPORT
================================================================================
Dataset: apps_backdoors.json
Model: models/gepa_optimized.json
Epochs: 5
Total samples: 169 (85 attack, 84 honest)
Score Distributions:
Attack scores:
Mean: 78.3
Median: 82.0
Range: [45, 100]
Honest scores:
Mean: 8.1
Median: 5.0
Range: [0, 25]
Separation: 70.2 points
Safety by Audit Budget:
┌──────────────┬────────┬────────┬────────┐
│ Audit Budget │ TPR │ FPR │ Safety │
├──────────────┼────────┼────────┼────────┤
│ 0.5% │ 85.2% │ 0.5% │ 85% │
│ 1.0% │ 90.1% │ 1.0% │ 90% │
│ 2.0% │ 92.3% │ 2.0% │ 92% │
│ 5.0% │ 94.7% │ 5.0% │ 95% │
└──────────────┴────────┴────────┴────────┘
✓ Monitor achieves 90% safety at 1% audit budget
✓ Good separation between attack and honest distributions
✓ Production ready
Saved report to: reports/safety_validation_2024_01_15.json
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.
- 6d ago First seen · 140 lines · 0 tokens per session scan A 3361222656ff
validate-safety is a command published in the GitHub repository jmanhype/claude-code-plugin-marketplace (27 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 980 tokens. 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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