# Quantification Metrics Dos

> Sub-skill of quantification-metrics: Do's (+1).

- Skill: `vamseeachanta/quantification-metrics-dos` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/quantification-metrics-dos`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/quantification-metrics-dos/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/quantification-metrics-dos

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# Do's (+1)

## Do's


✅ **Use Real Data:** Base calculations on observed measurements, not estimates
✅ **Document Assumptions:** Clearly state hourly rates, frequencies, and other variables
✅ **Provide Ranges:** Use minimum/expected/maximum for uncertain values
✅ **Show Work:** Include calculation steps for transparency
✅ **Cite Sources:** Reference industry benchmarks or comparable systems
✅ **Validate Reasonableness:** Check if results make sense
✅ **Update Regularly:** Refresh metrics as actual data becomes available


## Don'ts


❌ **Don't Inflate Numbers:** Stick to realistic, defensible calculations
❌ **Don't Hide Assumptions:** Always make assumptions explicit
❌ **Don't Use Vague Terms:** Avoid "significant improvement" without numbers
❌ **Don't Cherry-Pick:** Include both positive and negative impacts
❌ **Don't Ignore Context:** Consider organizational factors affecting results
❌ **Don't Over-Precision:** Use appropriate significant figures
❌ **Don't Skip Validation:** Always check math and logic