What do I need to use Metric Gaslighting Detector?

The metrics artifact; The claim being made with it.

Is Metric Gaslighting Detector free to use?

Yes — run it free in the browser playground (no API key needed for the sponsored trial, or bring any provider key), or install it into Claude Code, Cursor, ChatGPT and more via npx pm-claude-skills. MIT-licensed and open source.

Metric Gaslighting Detector

Q: How do I know the Metric Gaslighting Detector output is good?

The skill verifies itself against its own quality checks: Every 🔴 names the specific mechanism and what the conclusion becomes without it — "misleading" alone is not a finding; At least one metric is graded 🟢 or the audit admits the artifact gave nothing to clear — all-guilty audits read as motivated; The honest retelling uses only the numbers present — the detector doesn't smuggle in its own speculation; Questions are answerable from data the owner plausibly has, and none contain an accusation.

🔵 Stable🕐 updated 2026-10-06 ✅ 5/5 🔷 SkillSpec L3 pm-warroom

Find out how a dashboard, KPI report, or metrics slide is lying to you — before you repeat its story in a bigger room. Use when numbers feel too tidy, a narrative rests on one chart, or you inherited metrics you didn't define. Produces a deception audit: every metric graded for the eleven classic distortions (denominator games, survivorship, y-axis crimes, cherry-picked windows…), the story the data would tell under honest framing, and the three questions to ask the metric's owner.

▶ Run it free — no key needed 📝 Grade your existing draft 📱 Use as an app View SKILL.md ↗ What changed

🗣 Say this to your agent

“These numbers feel too tidy.”“Is this dashboard lying to me?”“Audit this KPI report before I present it.”“I inherited these metrics: can I trust them?”

What to give it

▸The metrics artifact — the dashboard description, KPI table, chart, or the numbers with their labels exactly as presented. Include axis ranges, time windows, and any annotations; the lie usually lives there.

▸The claim being made with it — (if any) — "churn is under control", "the launch worked". The audit tests the *claim-data* connection, not the data alone.

✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

✓Every 🔴 names the specific mechanism and what the conclusion becomes without it — "misleading" alone is not a finding

✓At least one metric is graded 🟢 or the audit admits the artifact gave nothing to clear — all-guilty audits read as motivated

✓The honest retelling uses only the numbers present — the detector doesn't smuggle in its own speculation

✓Questions are answerable from data the owner plausibly has, and none contain an accusation

✓Distortion names from the list are used consistently so repeated audits build a shared vocabulary

⚠️ What it refuses to do

Do not accuse people of lying — the framing is "what belief does this arrangement create vs what the data supports"; most gaslighting dashboards are self-deception forwarded

Do not grade a metric 🔴 for a distortion that doesn't change the decision at hand — severity is about consequences, not purity

Do not demand data that doesn't exist as a gotcha — the three questions must be realistically answerable

Do not rewrite the numbers — the honest retelling reframes; it never adjusts figures

Do not skip auditing metrics that support conclusions you like — run the eleven on the favourable ones first

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y -p pm-claude-skills pm-claude-skills-mcp

Related skills

🔌 Embed this skill

Drop this on your blog, docs, or site — it renders a "Run this skill" card:

<div data-pm-skill="metric-gaslighting-detector"></div>
<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>

💬 Discussion

Metric Gaslighting Detector is one of 1307 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog