adaptive-guardrail-calibrator
Calibrate guardrail thresholds from live hardware telemetry and emit environment presets. Use when thresholds are hand-tuned or drift with hardware changes.
Best use case
adaptive-guardrail-calibrator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Calibrate guardrail thresholds from live hardware telemetry and emit environment presets. Use when thresholds are hand-tuned or drift with hardware changes.
Teams using adaptive-guardrail-calibrator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/adaptive-guardrail-calibrator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How adaptive-guardrail-calibrator Compares
| Feature / Agent | adaptive-guardrail-calibrator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Calibrate guardrail thresholds from live hardware telemetry and emit environment presets. Use when thresholds are hand-tuned or drift with hardware changes.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Adaptive Guardrail Calibrator Use this skill to compute safe resource floors and caps from live telemetry. ## Workflow 1) Sample CPU, RAM, disk, and GPU metrics for a short window. 2) Compute conservative floors and caps. 3) Write environment presets for guardrails. ## Scripts - Run: python scripts/calibrate_guardrails.py --duration 30 --interval 1 --apply ## References - references/guardrail_defaults.json
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