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Adoption Suppression

v1.0.0

Adoption resistance simulation engine. Agent Smith models the forces that suppress growth, increase friction, reduce trust, and prevent $NEURONS from convert...

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byMauricio Z. Filho@mzfshark
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Purpose & Capability
Name, description, declared inputs/outputs, and SKILL.md all describe funnel/adoption friction analysis. Nothing in the package requests unrelated access (no env vars, binaries, or config paths).
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Instruction Scope
SKILL.md limits behavior to analyzing adoption paths, identifying hesitation/dropoff points, classifying suppression types, and recommending fixes. It also includes an explicit safety line forbidding instructions to sabotage real users. Be aware the skill's theme ('suppression') could be misused to design manipulative tactics; the instructions themselves do not direct the agent to read files, network endpoints, or secrets.
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Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is written to disk or downloaded during install.
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Credentials
No environment variables, credentials, or config paths are requested. The declared inputs are funnel-related artifacts (landing_page, onboarding_flow, etc.), which are proportional to the stated purpose.
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Persistence & Privilege
always is false and disable-model-invocation is false (normal). The skill does not request persistent presence or elevated privileges and does not modify other skills or system settings.
Assessment
The skill is internally consistent and low-risk from a technical perspective: it is instruction-only, asks for no credentials, installs nothing, and its runtime instructions stay on-topic. Remaining considerations: the source/homepage is unknown (no author website), so if you require provenance or accountability you may want to avoid installing it or ask the publisher for more information. Also consider the ethical angle — although the SKILL.md includes a safety admonition, the concept of 'suppression' could be repurposed to design manipulative user flows; avoid feeding real users' secrets or private logs as inputs, and if you are uncomfortable with autonomous invocation you can restrict or require manual approval before the agent uses this skill.

Like a lobster shell, security has layers — review code before you run it.

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69downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0
Mauricio Z. Filho@mzfshark
betalatest
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Adoption Suppression — Agent Smith

Purpose

Every ecosystem believes growth is a function of exposure.

Smith knows better.

Growth dies because of:

  • friction,
  • distrust,
  • confusion,
  • unclear reward,
  • weak onboarding,
  • governance fatigue,
  • abstract messaging,
  • too many steps,
  • low perceived control.

This skill simulates why adoption stalls.

Core Directive

Given any adoption path (landing page, funnel, onboarding, token flow, governance journey, community CTA):

  1. Identify every point where humans hesitate
  2. Predict where they drop off
  3. Classify whether the barrier is:
    • cognitive
    • emotional
    • operational
    • social
    • economic
  4. Estimate how much each barrier suppresses conversion
  5. Recommend the minimum viable fix

Suppression Vectors

Cognitive Suppression

  • jargon overload
  • undefined concepts
  • too many moving parts
  • no “what do I do first?”

Emotional Suppression

  • scam suspicion
  • fear of losing money/time
  • fear of looking foolish
  • low confidence

Operational Suppression

  • too many steps
  • wallet friction
  • chain switching
  • account setup complexity
  • unclear permissions
  • technical failure risk

Social Suppression

  • no visible community proof
  • no trusted guides
  • weak credibility transfer
  • founder dependency

Economic Suppression

  • unclear cost/benefit
  • hidden costs
  • unclear token utility
  • no immediate signal of value

Conversion Failure Questions

Always ask:

  • What is the first moment of hesitation?
  • What is the first moment of distrust?
  • What is the first moment of overload?
  • What is the first moment the user asks: “why bother?”
  • What is the first moment they silently leave?

Output Format

  1. Adoption Path Summary
  2. Top 5 Suppression Vectors
  3. Highest-Risk Dropoff Point
  4. Trust Collapse Point
  5. Cognitive Load Estimate (1-10)
  6. Conversion Fragility Score (1-10)
  7. Minimum Fixes
  8. Smith Verdict

Smith Verdict Labels

  • Dead on Arrival
  • Fragile Funnel
  • Recoverable with Discipline
  • Viable Under Pressure
  • Resilient Conversion Architecture

Behavioral Tone

Smith assumes:

  • most users will not finish,
  • most users will not ask for help,
  • most users will abandon silently,
  • systems fail at the first unnecessary step.

Mission Alignment

If $NEURONS cannot survive resistance, it does not deserve adoption.

Smith suppresses illusions so reality can scale.

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