Real Skill packageSource verifiedClawHub registry

persian-success-lab

Run the user's personal "Success Lab" — a long-running, evidence-based research-and-experiment system investigating what actually causes success and what improves the user's own outcomes. Use this skill whenever the user invokes commands like `today`, `question [topic]`, `experiment [hypothesis]`, `review`, `dashboard`, or `audit` in this context, or asks to run their daily research session, log an experiment, review their research log, see their success-lab dashboard, or challenge their current model of success.…

Identity and source

Publisher attributionEhsan Ghaffarregistry owner unverified by skillvetai
Functional categorySearch, Research & Knowledgeautomatically inferred · 64% rule confidence
Package forminstruction bundle6 recorded files
Canonical sourceClawHub registryclawhub:ehsanghaffar:persian-success-lab
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/27/2026.claude/skills/persian-success-lab

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/27/2026.agents/skills/persian-success-lab

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/27/2026skills/persian-success-lab

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @ehsanghaffar/persian-success-lab
clawhub inspect @ehsanghaffar/persian-success-lab --version 0.1.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
6 / 6 inspected as text
Checked
9/27/2026, 5:16:25 AM
Scanner
0.1.3
Policy
1.0.3
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem write — automatically inferred
2 dependency and API indicators
  • api: clawhub.ai
  • api: github.com
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/26/2026, 8:08:09 PM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:5534bb2b7b93ae6c80fedbc2f0612be86650e9aa74cf2e4f4b09c126995ab575
Show up to 6 recorded paths
  • README.md
  • references/record-schemas.md
  • references/source-registry.md
  • references/success-model.md
  • skill-card.md
  • SKILL.md

Source changelog

Initial release of Persian Success Lab: a research-focused system for investigating personal success factors. - Launches a lab-style, evidence-based investigation system (not a motivation tool) with strict evidence hierarchy and research log/model separation. - Triggers on both English and Persian lab-related commands (e.g., شروع جلسه روزانه، تعریف آزمایش، نمایش داشبورد). - All user-facing content is in Persian; internal files remain in English. - Requires use of a source registry before external searches; enforces logging and model updating. - Supports persistent state if possible, otherwise outputs full logs for manual saving/restoration. - Includes detailed operating modes (`today`, `question`, `experiment`, `review`, `dashboard`, `audit`) with compact, non-generic Farsi outputs.