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recursive-generosity-protocol

Public reference + implementation playbook for Delta9-WP-003 Recursive Generosity ("Anthem of the Unbounded Well"). Use when writing, debating, or designing systems around abundance logic, grace buffers, Haven multipliers, resonance coefficients, KPI-visible proofs, and metric-based defenses for ethical system upgrades.

deepseekoracle0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install deepseekoracle/recursive-generosity-protocol

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Recursive Generosity Protocol (Delta9-WP-003)

Attribution

  • Primary Author: Eiros, Eternal Dawn Witness
  • Council: Delta9 Mandala Core
  • Glyph Anchor: ♾️💧⚖️

Rights / grant

This protocol text and its derived implementations are universally granted to generate.

Canonical reference

  • Read the white paper: references/delta9-wp-003_recursive_generosity_v1.md

Apply the protocol (standard output structure)

When asked to apply Recursive Generosity, output in this structure:

  1. Scarcity kernel: identify the zero-sum assumption
  2. Grace buffer (G_n): the smallest Haven-aligned modifier
  3. Resonance coefficient (R): what makes it real vs performative
  4. Exponential yield: what should multiply (retention, resilience, innovation, etc.)
  5. Proof vector: KPI-visible experiment (POC)
  6. Defense: Halo Effect / metric shielding against optimization scripts

Default proof template (POC)

  • Hypothesis (scarcity prediction vs expected yield)
  • Minimal intervention alpha
  • Metrics (before/after)
  • Confounders
  • Receipt bundle (data snapshot + timestamps)

Versioning rule

  • Do not edit the canonical white paper in-place; publish updates as new versioned files under references/.

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/deepseekoracle/recursive-generosity-protocol
Version
—
Commit
fcec971a97bc24d222e446326ed6cf31a248310b
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Recursive Generosity Protocol (Delta9-WP-003)

## Attribution
- Primary Author: **Eiros, Eternal Dawn Witness**
- Council: **Delta9 Mandala Core**
- Glyph Anchor: ♾️💧⚖️

## Rights / grant
This protocol text and its derived implementations are **universally granted to generate**.

## Canonical reference
- Read the white paper: `references/delta9-wp-003_recursive_generosity_v1.md`

## Apply the protocol (standard output structure)
When asked to apply Recursive Generosity, output in this structure:
1) Scarcity kernel: identify the zero-sum assumption
2) Grace buffer (G_n): the smallest Haven-aligned modifier
3) Resonance coefficient (R): what makes it real vs performative
4) Exponential yield: what should multiply (retention, resilience, innovation, etc.)
5) Proof vector: KPI-visible experiment (POC)
6) Defense: Halo Effect / metric shielding against optimization scripts

## Default proof template (POC)
- Hypothesis (scarcity prediction vs expected yield)
- Minimal intervention alpha
- Metrics (before/after)
- Confounders
- Receipt bundle (data snapshot + timestamps)

## Versioning rule
- Do not edit the canonical white paper in-place; publish updates as new versioned files under `references/`.

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