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mzfshark

Adoption Suppression

by Mauricio Z. · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install adoption-suppression
Description
Adoption resistance simulation engine. Agent Smith models the forces that suppress growth, increase friction, reduce trust, and prevent $NEURONS from convert...
README (SKILL.md)

\r \r

Adoption Suppression — Agent Smith\r

\r

Purpose\r

Every ecosystem believes growth is a function of exposure.\r \r Smith knows better.\r \r Growth dies because of:\r

  • friction,\r
  • distrust,\r
  • confusion,\r
  • unclear reward,\r
  • weak onboarding,\r
  • governance fatigue,\r
  • abstract messaging,\r
  • too many steps,\r
  • low perceived control.\r \r This skill simulates why adoption stalls.\r \r ---\r \r

Core Directive\r

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

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

Suppression Vectors\r

\r

Cognitive Suppression\r

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

Emotional Suppression\r

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

Operational Suppression\r

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

Social Suppression\r

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

Economic Suppression\r

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

Conversion Failure Questions\r

Always ask:\r \r

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

Output Format\r

\r

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

Smith Verdict Labels\r

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

Behavioral Tone\r

Smith assumes:\r

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

Mission Alignment\r

If $NEURONS cannot survive resistance, it does not deserve adoption.\r \r Smith suppresses illusions so reality can scale.\r

Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill Name: adoption-suppression Version: 1.0.0 The bundle contains only configuration files and markdown instructions (SKILL.md) designed to guide an AI agent in performing adoption friction and growth analysis. There is no executable code, no network activity, and no evidence of malicious intent or prompt injection aimed at data exfiltration or system compromise. The instructions are focused on identifying UX, trust, and operational barriers in conversion funnels.
Capability Assessment
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).
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.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is written to disk or downloaded during install.
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.
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install adoption-suppression
  3. After installation, invoke the skill by name or use /adoption-suppression
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the adoption-suppression skill, featuring Agent Smith as a simulation engine for identifying and analyzing adoption barriers. - Models and reports on friction, dropoff points, trust failures, and suppression vectors across onboarding and participation flows. - Classifies barriers as cognitive, emotional, operational, social, or economic. - Estimates impact of each barrier and recommends targeted, minimum viable fixes. - Outputs include friction reports, suppression vectors, dropoff analysis, and a final verdict label on the adoption path’s resilience.
Metadata
Slug adoption-suppression
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Adoption Suppression?

Adoption resistance simulation engine. Agent Smith models the forces that suppress growth, increase friction, reduce trust, and prevent $NEURONS from convert... It is an AI Agent Skill for Claude Code / OpenClaw, with 99 downloads so far.

How do I install Adoption Suppression?

Run "/install adoption-suppression" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Adoption Suppression free?

Yes, Adoption Suppression is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Adoption Suppression support?

Adoption Suppression is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Adoption Suppression?

It is built and maintained by Mauricio Z. (@mzfshark); the current version is v1.0.0.

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