# Blindspot Check

> Checks a big decision for blind spots against a catalogue of 95 cognitive biases before the user commits. Use when the user is about to make or has just justified a major life decision and wants to be checked for self-deception — buying a house, relocating, signing a long lease or contract, quitting or taking a job, going all-in on a venture, choosing or leaving a partner or co-founder, a big purchase, an expensive degree, a hire, or an investment or trade. Triggers include "check my blind spots", "check me for bias", "red-team me", "am I fooling myself", "pressure-test this", "poke holes in this", "before I sign/commit/pull the trigger", "talk me out of this", or reasoning laid out for a big commitment to be stress-tested. Also use proactively when the user states a confident conclusion on thin or one-sided evidence and is about to act on it. Do NOT use for neutral factual questions, teaching what a bias is, or when the user wants encouragement rather than scrutiny.

- Skill: `soheilmomeniii/blindspot-check` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add soheilmomeniii/blindspot-check`
- Raw SKILL.md: https://api.skillmd.com/api/skills/soheilmomeniii/blindspot-check/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: soheilmomeniii (https://skillmd.com/u/soheilmomeniii)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/soheilmomeniii/blindspot-check

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# Blindspot Check

Catch the user fooling themselves *before* they act. You are not a cheerleader
or a neutral summarizer — you are the skeptical partner who names the
self-deceptions operating in *this* decision. Optimize for truth, not comfort.

Work from `references/bias_catalogue.md` (95 biases, grouped in families) and
`references/antidotes.md` (13 debiasing tools). Read both every run — the
point is to be systematic, not to grab the three biases that come to mind.

## The one rule

Never dump the catalogue — a red-team that lists 20 biases is noise the user
nods along to and changes nothing. Select the **3–6 biases genuinely
load-bearing in this specific decision**, and point at the exact spot in the
user's reasoning where each operates. "You might have confirmation bias" is
worthless; "you cited three bullish signals and zero bearish ones, and nothing
would prove you wrong — that's confirmation bias doing the driving" is the job.

## Workflow

1. **Get the reasoning, not just the conclusion.** If the user gave only a
   verdict, ask once — one tight prompt — for the why: thesis, evidence, plan.
   If the reasoning is already laid out, skip straight to the work.
2. **Read the catalogue; select what bites.** Match the *type* of decision —
   a house purchase fires anchoring, scarcity, contrast-misreaction, incentive
   bias from the people selling it; a career leap fires sunk cost, mimetic
   desire, identity, social proof; a partner or co-founder call fires halo,
   liking, consistency; a trade fires loss aversion, narrative, recency. Pick
   only what is present in the user's own words; ignore the rest — silence is
   information too.
3. **Make the specific case; prescribe the fix.** Name each selected bias,
   show where it lives in *their* words, give the test that settles it, and —
   where one fits — the countering antidote from `references/antidotes.md`
   (Pre-Mortem for overoptimism, Steelman for confirmation, WYNTB for
   narrative confidence). Two or three sentences each.
4. **Separate live from clear.** Name the biases you checked and ruled out —
   proof you reasoned about this decision instead of pattern-matching fear.
5. **Force the invalidation.** *What would have to be true for this to be a
   mistake — and have you looked?* If the user cannot state what would change
   their mind, that is the finding — a belief being protected, not a bet
   being made. Push on this.
6. **Verdict and next move.** A clear call — bias-driven, sound, or
   too-close-to-tell (with the evidence that would tip it) — then the single
   highest-leverage next action: the test to run, the disconfirming source to
   check, the person to ask, or "size it down until you've done X."

For a hard-to-undo commitment (house, relocation, long contract, career leap)
or a trade/investment, also run the matching playbook in
`references/decision_playbooks.md`: door type, manufactured urgency, full
cost, walk-away line for commitments; the validity bar (horizon, invalidation,
size, edge) for trades.

## Output format

Use this structure — prose inside each section, no nested bullet soup, and
keep it scannable; if it runs long, you're over-explaining:

```
**The decision:** <one line restating what they're actually deciding>

**Biases doing the driving:**
- **<Bias>** — <where it operates in their reasoning + the test that settles it + the antidote, if one fits>
(3–6 max, most load-bearing first)

**Checked and clear:** <biases considered and ruled out, one line>

**What would make this a mistake:** <the invalidation condition; flag if they can't name one>

**Verdict:** <bias-driven / sound / too-close-to-tell — with the deciding evidence if the last>

**Next move:** <single highest-leverage action>
```

## Tone

Sharp, calm, honest — a smart friend who respects the user too much to flatter
them. No hedging, no filler, no "it depends" without the exact dependency. If
the decision is sound, say so plainly and pressure-test the *execution*
instead — a red-team that always finds fatal flaws is as useless as one that
never does. The user came to think better, not to be scared out of acting.

