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mine-gemini-workflows

Discover repeated, validated Gemini CLI workflows from a user-selected session directory and turn approved candidates into portable skills and parity tests without exporting private reasoning.

Revisar el código fuente Ver en GitHub

Precio sin confirmar★ 24 Estrellas de GitHubRegistro actualizado · 14 sept 2026agent-skill

Resumen

Discover repeated, validated Gemini CLI workflows from a user-selected session directory and turn approved candidates into portable skills and parity tests without exporting private reasoning.

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

Mine Gemini workflows

Use session evidence to find workflows worth porting. This is workflow archaeology, not a bulk conversation export.

Non-negotiable privacy boundaries

Require one explicitly selected Gemini project/session directory. Never crawl the entire home directory by default.
Run the metadata-only pass first.
Do not extract or summarize private thoughts, reasoning fields, tool arguments, secrets, or complete transcripts.
Do not commit .context-os/migrations/ or raw Gemini recordings.
Ask before any --include-content, --include-summaries, or --include-paths pass and explain exactly which selected sessions will be read.
A repeated pattern is a candidate, not authorization to create or install a skill.

Procedure

1. Select evidence

Ask the user for the relevant Gemini project/session directory and optional date boundary. If they do not know the directory, help them locate candidate directories using names and modification dates only; do not read session bodies during discovery.

2. Create a metadata-only inventory

Run:

python3 scripts/mine-gemini-workflows.py \
  <selected-session-directory> \
  --output .context-os/migrations/<timestamp>/gemini-inventory.json

Add --since YYYY-MM-DD when the user supplied a date boundary. The default report includes tool names, validation status, file basenames, and session identifiers. It excludes message text, free-form workflow summaries, tool arguments, and full paths.

3. Rank candidates

Prioritize candidates that:

occur with positive validation in at least two sessions,
have successful validation evidence,
use a stable tool sequence,
solve a task the user expects to repeat.

Do not promote one-off activity or a repeated failure. Present the ranked candidates and evidence counts, then ask the user which ones to inspect.

4. Inspect only selected sessions

If metadata is insufficient, name the exact selected session IDs and ask permission to rerun with repeated --session-id <id> selectors plus only the required opt-in flag (--include-summaries, --include-paths, or --include-content). Content redaction is best-effort, not a guarantee; treat every opt-in report as sensitive. Thought/reasoning fields remain excluded. Review the output again before sharing or persisting it.

5. Draft, do not silently install

For each approved candidate:

draft .agents/skills/<workflow>/SKILL.md as the portable core,
add a thin .claude/commands/<workflow>.md adapter only if a Claude slash command is wanted,
create a parity case from docs/templates/workflow-parity.json,
record provenance using session IDs, immutable recording digests, and evidence counts, not transcript content,
separate provider-neutral steps from Gemini-, Claude-, or Codex-specific tool adapters.

Show the draft and parity case before writing. Then run bash scripts/validate-all.sh --workspace.

6. Report limitations

State what the miner could not infer, including missing memory scratchpads, unsupported recording variants, unavailable tools, ambiguous validation, or workflows that need human judgment.

Prior art

See references/ai-data-extraction.md. The linked extractor informed the inventory-first approach, but is not a dependency and should not be run against current recordings without format and privacy review.

Ver fuente ↗

Metadatos del archivo

name: mine-gemini-workflows
description: Discover repeated, validated Gemini CLI workflows from a user-selected session directory and turn approved candidates into portable skills and parity tests without exporting private reasoning.

Ver texto original

---
name: mine-gemini-workflows
description: Discover repeated, validated Gemini CLI workflows from a user-selected session directory and turn approved candidates into portable skills and parity tests without exporting private reasoning.
---

# Mine Gemini workflows

Use session evidence to find workflows worth porting. This is workflow archaeology, not a bulk conversation export.

## Non-negotiable privacy boundaries

- Require one explicitly selected Gemini project/session directory. Never crawl the entire home directory by default.
- Run the metadata-only pass first.
- Do not extract or summarize private thoughts, reasoning fields, tool arguments, secrets, or complete transcripts.
- Do not commit `.context-os/migrations/` or raw Gemini recordings.
- Ask before any `--include-content`, `--include-summaries`, or `--include-paths` pass and explain exactly which selected sessions will be read.
- A repeated pattern is a candidate, not authorization to create or install a skill.

## Procedure

### 1. Select evidence

### 2. Create a metadata-only inventory

Run:

```bash
python3 scripts/mine-gemini-workflows.py \
<selected-session-directory> \
--output .context-os/migrations/<timestamp>/gemini-inventory.json
```

Add `--since YYYY-MM-DD` when the user supplied a date boundary. The default report includes tool names, validation status, file basenames, and session identifiers. It excludes message text, free-form workflow summaries, tool arguments, and full paths.

### 3. Rank candidates

Prioritize candidates that:

1. occur with positive validation in at least two sessions,
2. have successful validation evidence,
3. use a stable tool sequence,
4. solve a task the user expects to repeat.

Do not promote one-off activity or a repeated failure. Present the ranked candidates and evidence counts, then ask the user which ones to inspect.

### 4. Inspect only selected sessions

If metadata is insufficient, name the exact selected session IDs and ask permission to rerun with repeated `--session-id <id>` selectors plus only the required opt-in flag (`--include-summaries`, `--include-paths`, or `--include-content`). Content redaction is best-effort, not a guarantee; treat every opt-in report as sensitive. Thought/reasoning fields remain excluded. Review the output again before sharing or persisting it.

### 5. Draft, do not silently install

For each approved candidate:

- draft `.agents/skills/<workflow>/SKILL.md` as the portable core,
- add a thin `.claude/commands/<workflow>.md` adapter only if a Claude slash command is wanted,
- create a parity case from `docs/templates/workflow-parity.json`,
- record provenance using session IDs, immutable recording digests, and evidence counts, not transcript content,
- separate provider-neutral steps from Gemini-, Claude-, or Codex-specific tool adapters.

Show the draft and parity case before writing. Then run
`bash scripts/validate-all.sh --workspace`.

### 6. Report limitations

State what the miner could not infer, including missing memory scratchpads, unsupported recording variants, unavailable tools, ambiguous validation, or workflows that need human judgment.

## Prior art

See `references/ai-data-extraction.md`. The linked extractor informed the inventory-first approach, but is not a dependency and should not be run against current recordings without format and privacy review.

Revisar el código fuente

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Licencia: MIT
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Fuente del skill registrada

La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.

Revisar antes de instalar: Evitar instalación automática

Licencia: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Falta aprobación de revisión por IA
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 24 GitHub stars
Stars/forks activity: 24 stars, 8 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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Empieza con una tarea pequeña

1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

IndexadoRevisión estática

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: conorbronsdon/agent-context-os
Licencia: MIT
Versión: Unknown
Último push de GitHub: 11 sept 2026
Registro actualizado: 14 sept 2026
Ruta de instrucciones: .agents/skills/mine-gemini-workflows/SKILL.md @ 15b5acace683

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

52/100

Requiere revisión

Confianza

57/100

Do not auto-install

Auditoría

68/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Falta aprobación de revisión por IA
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 24 GitHub stars
Stars/forks activity: 24 stars, 8 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Resultados: —

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

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Más detalles

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Creador: conorbronsdon
Fuente: conorbronsdon/agent-context-os
Indexado por: Índice comunitario de OpenAgentSkill

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Esta ficha Indexado por Registry se atribuye a conorbronsdon, pero aún no está marcada como oficial. Reclámala para añadir una señal de propietario verificado y hacer más fiables futuras actualizaciones de lanzamiento, instalación y auditoría.

Kit para compartir

Kit de enlaces para creadores

Añade las insignias de evidencia a tu README

Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/conorbronsdon-mine-gemini-workflows?metric=listed&label=Listed)](https://www.openagentskill.com/skills/conorbronsdon-mine-gemini-workflows?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/conorbronsdon-mine-gemini-workflows?metric=trust&label=Trust)](https://www.openagentskill.com/skills/conorbronsdon-mine-gemini-workflows?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/conorbronsdon-mine-gemini-workflows?metric=audit&label=Audit)](https://www.openagentskill.com/skills/conorbronsdon-mine-gemini-workflows/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/conorbronsdon-mine-gemini-workflows?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/conorbronsdon-mine-gemini-workflows?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Vista previa de insignia Abrir auditoría Kit para creadores

Señal de comunidad

Comparte si este skill resulta útil para tu flujo de Agent. Los comentarios agregados mejoran la clasificación con el tiempo.