agentsclimarketplace
Sign in

Growth ethics review

Skill duandigi/duandigi-growth-marketing-skill/skills/growth-ethics-review

Use this skill when reviewing a growth idea, experiment, automation, message, incentive, tracking plan, or loop for manipulation, spam, privacy, accessibility, discrimination, brand, legal, or platform-policy risk.From its SKILL.md

Install
npx -y skills add duandigi/duandigi-growth-marketing-skill --skill growth-ethics-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.8 KB, 463 tokens by cl100k_base, as published. Nobody here has run it

Growth Ethics Review

Purpose

Protect durable growth by rejecting tactics that create hidden harm or unmanageable risk.

Inputs

  • Proposed tactic or experiment
  • Target audience and channel
  • Data collected and permissions
  • Incentives, messaging, automation, and expected behavior

If critical input is unavailable, label it unknown and create a research or instrumentation task. Do not invent values.

Workflow

  1. Identify affected users, non-users, employees, partners, platforms, and communities.
  2. Check informed choice, truthfulness, reversibility, privacy, accessibility, fairness, and data minimization.
  3. Screen for spam, fake social proof, dark patterns, deceptive urgency, impersonation, policy evasion, and exploitative targeting.
  4. Assess likely harm severity, likelihood, detectability, and reversibility.
  5. Classify the proposal as approve, approve with controls, redesign, or reject.
  6. Specify controls, disclosures, consent, rate limits, monitoring, and escalation paths.
  7. Document the decision and unresolved legal or platform questions.

Required output

Return a concise, decision-oriented response containing:

  • Risk classification
  • Affected parties
  • Risk findings
  • Required controls
  • Decision
  • Open questions

Label important statements as confirmed, inferred, assumed, or unknown when the distinction affects the decision.

Guardrails

Do not:

  • Treating legal compliance as the only ethical standard

  • Using consent buried in unclear language

  • Optimizing short-term conversion at the expense of user autonomy

  • Claim guaranteed growth or present an estimate as observed fact.

  • Recommend spam, fake reviews, impersonation, deceptive urgency, dark patterns, policy evasion, or unauthorized production changes.

  • Hide material uncertainty, tracking limitations, or possible harm.

When an action can spend money, publish content, contact people, change production systems, delete data, or alter access, produce a plan and request explicit authorization rather than executing automatically.

Completion check

Before finishing, verify that the output:

  • answers a specific growth decision;
  • uses the supplied business context;
  • separates evidence from assumptions;
  • defines a measurable next step;
  • includes risks, constraints, and missing data;
  • is no longer than necessary for the decision.

What ships with it: 1 file

1.3 KB alongside SKILL.md

evals/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.