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value-check

Skill19 starsChanged 9 days agoMITView on GitHub

Audit copy, campaigns, and UX flows across 13 ethical, trust, organic-fit, and subtlety checks before shipping. Sub-skill: load only when routed from the hook-everything entry skill, not for general writing or editing.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run this 13-point audit before delivering any copy, campaign, hook idea, market analysis, or product flow.

    line 7
  2. Distinctive:

    Check 13 comes from gregruthenbeck's "detone" practice of asking how a piece feels to read for each user segment.

    line 37

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Value, Trust & Subtlety Check (13-Point Gate)

Run this 13-point audit before delivering any copy, campaign, hook idea, market analysis, or product flow. Any NO requires a rewrite before shipping.

Part 1: Ethical & Zero-Scam ("Anti-Scam") Gate

CheckQuestion to Verify
1. Payoff >= PromiseAfter clicking, reading, or completing onboarding, does the user receive immediate utility equal to or greater than what the hook implied?
2. Zero Fabricated ReceiptsAre all metrics, latencies, dates, quotes, and citations 100% real (or explicitly marked in brackets for the user to supply)?
3. Upfront Cost HonestyAre pricing, renewal rules, and data permissions visible before the user invests non-exportable work?
4. Symmetric ExitCan the user cancel, hibernate, export their raw data, or mute notifications in the same number of clicks it took to join (M26 Regret Regulation)?
5. Vulnerability GuardrailDoes the design avoid exploiting grief, addiction, financial desperation, loneliness, or minors?

Part 2: Market Fit, Audience Calibration, Compounding & Stylometry Gate

CheckQuestion to Verify
6. The Organic Fit GateIf a live market trend or statistic is included (skills/market-intelligence), is it 100% causally connected to the user's problem with zero forced "news-pegging"? (If it feels forced, delete the trend.)
7. Audience Route CalibrationDoes the hook's construal level and proof density match the target audience's ELM processing route (skills/audience-calibration)?
8. Visual & Choice IsolationIs the layout free of Choice Overload (<= 2 competing actions per viewport) with a clear Von Restorff isolation focus (skills/visual-ux-hooks)?
9. The Second-Look TestIf the user read your internal design notes explaining why this hook chord was engineered this way, would they respect the craft and feel helped - or feel manipulated?
10. The Smell TestCan a skeptical reader smell "marketing" or "copywriting tricks"? If yes, cut adjective intensity by 40% and add a stronger Trust Damper (skills/trust-architecture).
11. Chord OrthogonalityDid you pair high-tension hooks with trust/autonomy dampers (skills/hook-compounding) and rotate chords across consecutive blocks?
12. 85-Rule Anti-Slop GateDoes the text score <= 15/100 on tools/slop_scan.py and obey all 85 rules in skills/anti-slop?
13. The Reader-Feeling CheckFor each reader segment in skills/audience-calibration (for example, a skimmer and a deep reader), how would it feel to read this? Name any spot that bores, confuses, or talks down to that segment, and rewrite it.

Decision Rule

  • Fail on 2, 3, 4, or 5 requires stopping immediately and removing the deceptive or coercive element.
  • Fail on 1, 6, 7, 8, 9, 10, 11, 12, or 13 requires rewriting the chord, stripping the forced trend, injecting a stronger trust lever, or eliminating AI/hype tells until every line passes cleanly.

Check 13 comes from gregruthenbeck's "detone" practice of asking how a piece feels to read for each user segment.

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