(unnamed) — quality + safety report

In the Skillier index (alireza__slo-design) · scanned 2026-06-03 · engine: builtin+triage

A
Quality
96/100
Safety

1 heuristic flag to review

Heuristic flags from the builtin scanner, which is known to over-flag (it trips on legitimate env-reading integrations, security skills, and library .eval calls). This is NOT an authoritative malicious verdict — re-scan with SkillSpector for the authoritative result. Run the authoritative scan →

Skillproof quality grade A

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Quality notes

No explicit trigger / 'when to use'
low · quality · body
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No name in frontmatter
low · quality · frontmatter
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About this skill

Interactive wizard to design an SLO with SLI, target, error budget, and burn-rate alerts

📄 Read the SKILL.md
---
description: Interactive wizard to design an SLO with SLI, target, error budget, and burn-rate alerts
---

# /slo-design

Step through SLO design using the `slo-architect` skill. Produces an SLO definition, computes error budget + multi-window burn-rate alerts, and runs the reviewer to catch common bugs.

## Usage

```
/slo-design
/slo-design --service checkout-svc --sli-type request-success-rate --target 99.9
```

## Implementation

```bash
SKILL=engineering/slo-architect/skills/slo-architect

# Step 1: gather inputs (service, sli-type, target, window, owner)
# Step 2: render SLO definition
python "$SKILL/scripts/slo_designer.py" \
  --service "$SERVICE" \
  --sli-type "$SLI_TYPE" \
  --target "$TARGET" \
  --window-days "$WINDOW_DAYS" \
  --owner "$OWNER" \
  --policy-doc "$POLICY_DOC" \
  --format json > .slo.json

# Step 3: compute error budget + burn-rate alerts
python "$SKILL/scripts/error_budget_calculator.py" \
  --target "$TARGET" \
  --window-days "$WINDOW_DAYS"

# Step 4: render the markdown SLO for peer review
python "$SKILL/scripts/slo_designer.py" \
  --service "$SERVICE" \
  --sli-type "$SLI_TYPE" \
  --target "$TARGET" \
  --window-days "$WINDOW_DAYS" \
  --owner "$OWNER" \
  --policy-doc "$POLICY_DOC"

# Step 5: validate against the reviewer
echo "=== After saving the SLO, run slo_review.py against the doc ==="
```

## Output

A markdown SLO definition with:

- Service, owner, user journey
- SLI type with numerator/denominator expressions
- Target, window, error budget
- Multi-window burn-rate alert thresholds (PromQL-shaped)
- Review cadence

## Pre-conditions

- `slo-architect` skill installed
- Service identified
- 30 days of historical SLI data available (to pick a sustainable target)
- Error budget policy doc exists or will be created

## Post-conditions

- `.slo.json` written for use with downstream tools (chaos-engineering blast radius, etc.)
- Markdown SLO streamed for review
- Recommendation printed: PASS / WARN / FAIL on `slo_review.py` checks
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Graded independently by Skillproof — nothing to sell the author. Quality is mechanical + corpus-grounded; safety flags are heuristic (builtin+triage), not a malicious verdict.