# Load Anomaly Guard

> Detects unsafe spikes in training load and emits SafetyFlags with conservative adjustments.

- Skill: `majiayu000/load-anomaly-guard-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/load-anomaly-guard-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/load-anomaly-guard-2/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/majiayu000/load-anomaly-guard-2

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## When Codex should use it
- Nightly background check on training data.
- Immediately after a high-intensity or long run is logged.

## Invocation guidance
1. Provide recent `TrainingHistory`, planned `Plan` window, and any injury flags.
2. Compute week-over-week changes and monotony; flag spikes > deterministic caps.
3. Suggest adjustments (rest/swaps) and emit `SafetyFlag[]`.

## Input schema
See `references/input-schema.json`.

## Output schema
See `references/output-schema.json`.

## Integration points
- Background job: nightly cron.
- API: `v0/app/api/plan/load-guard` (new) returning flags + suggested adjustments.
- UI: Badge on Plan/Today screens; push/email via `v0/lib/email.ts`.

## Safety & guardrails
- If spike >20–30% week-over-week, emit `load_spike` and recommend rest or reduced volume.
- If injury signals present, bias toward `rest-day` adjustments.
- No medical diagnosis; advise professional consult on repeated spikes or pain.

## Telemetry
- Emit `ai_skill_invoked`, `ai_safety_flag_raised`, and optionally `ai_adjustment_applied` when suggestions are auto-applied.