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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.

Examiner la source Voir sur GitHub

Prix non confirmé★ 24 Stars GitHubRegistre mis à jour · 14 sept. 2026agent-skill

Vue d’ensemble

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.

Lire la documentation complète

Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

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.

Voir la source ↗

Métadonnées du fichier

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.

Voir le texte 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.

Examiner la source

Prix et coûts d’utilisation

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L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: MIT
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
L’approbation de revue IA est absente
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

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéContrôle statique

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: conorbronsdon/agent-context-os
Licence: MIT
Version: Unknown
Dernier push GitHub: 11 sept. 2026
Registre mis à jour: 14 sept. 2026
Chemin des instructions: .agents/skills/mine-gemini-workflows/SKILL.md @ 15b5acace683

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

52/100

Revue nécessaire

Confiance

57/100

Do not auto-install

Audit

68/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
L’approbation de revue IA est absente
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: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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Ouvrir l’API d’installation Format texte LLM Ouvrir Manifest Plan de résolution auto

Plus de détails

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Créateur: conorbronsdon
Source: conorbronsdon/agent-context-os
Indexé par: Index communautaire OpenAgentSkill

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Revendication du propriétaire

Revendiquer cette fiche de skill

Cette fiche Indexé par Registry est attribuée à conorbronsdon, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

Kit de partage

Kit de backlinks créateur

Ajoutez les badges de preuve à votre README

Affichez la fiche canonique, les signaux actuels de confiance et d’audit, ainsi que de vraies preuves Agent-Proven là où les développeurs évaluent le dépôt.

[![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)

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Signal de communauté

Indiquez si ce skill semble utile à votre workflow Agent. Les retours agrégés améliorent le classement au fil du temps.