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Back to Skills
$npx openpersona install acnlabs/secondme-skill
SKILL.mdView on GitHub

secondme-skill

secondme-skill is a complete pipeline for building your AI Second Me — distill your identity from owned data, grow a private knowledge base, train a local model that speaks like you, and govern what gets shared. Local-first, privacy-first, fully yours.

This is an orchestration skill package. It does not replace lower-level capabilities.

Source of truth

  • Persona source declaration: persona.json
  • Pipeline runtime state: state/pipeline-state.json
  • Product and governance spec: references/product-report.md
  • Generated runtime pack: generated/persona-secondme-skill/
  • Regeneration script: scripts/regenerate-pack.sh

Dependency chain

  • Foundation: openpersona -> persona pack creation and lifecycle baseline
  • Orchestration: secondme-skill -> workflow gates, state, and report contracts
  • Capability chain:
    1. anyone-skill -> identity extraction and evidence grading
    2. persona-knowledge -> data ingestion, deduplication, wiki/KG, versioned export
    3. persona-model-trainer -> local training, evaluation, export, integration

Required execution policy

  • Use non-interactive generation and scripts where possible.
  • Keep local-first and least-privilege defaults.
  • Keep stage outputs auditable with version/hash references.
  • Treat persona-secondme-skill/ as generated output (read-only baseline).
  • When persona.json changes, regenerate the runtime pack before release.
  • Before publishing outside this repository, run scripts/publish-check.sh.
  • Preferred release check path: scripts/run-gates.sh (regenerate + sync + model gate + publish gate).

Stage contract

init

  • Validate toolchain and directories.
  • Initialize or load state/pipeline-state.json.

ingest

  • Ingest user-owned data with PII scanning.
  • Require explicit source authorization from user.

distill

  • Build structured persona extraction artifacts.
  • Ensure minimum persona input for OpenPersona is complete.

train

  • Route by hardware tier:
    • Apple Silicon: mlx
    • NVIDIA: unsloth
    • No local GPU: colab

eval

  • Check thresholds:
    • voice_score >= 3.5
    • probe_score >= 0.8
    • perplexity degradation <= 20% vs last viable version

integrate

  • Integrate model artifacts only when eval gate passes.
  • Require runtime pack persona model integration before marking stage pass.

report

  • Emit three reports under reports/data, reports/model, reports/deploy.
  • Keep report and deployment recommendation in blocked state if persona model gate fails.

Failure routing

  • Data gate fail -> return to ingest and request source expansion.
  • Train fail -> change backend or reduce model size.
  • Eval fail -> augment data or retune hyperparameters, then retrain.

Always update error_code, last_error, and retry_count in pipeline state before retry.

Human approval gates

Require explicit human approval for:

  • financial/legal commitments
  • account-changing write actions
  • external publishing/sharing of identity artifacts

Persona model gate

secondme requires trained persona model integration, not only host default model fallback.

Pass criteria:

  • generated/persona-secondme-skill/persona.json contains body.runtime.models.
  • body.runtime.models has at least one model entry.
  • scripts/check-model-integration.sh returns success.

If this gate fails, report must not be marked pass and deployment recommendation remains blocked.

Sync discipline

  1. Edit root persona.json and orchestration docs first.
  2. Run scripts/regenerate-pack.sh.
  3. Run scripts/check-sync.sh to validate root and generated pack alignment.
  4. Verify runtime pack path generated/persona-secondme-skill/ exists and updated.
  5. Only then produce release reports under reports/.