hermes-session-cleaner/SKILL.md

name, description, version, installed_from

name	description	version	installed_from
session-cleaner	Clean Hermes session DB: delete short conversations, generate missing titles.	1.1.0	https://github.com/alhan/hermes-session-cleaner/raw/branch/main/SKILL.md

Session Cleaner

When the user says "temizlik yap" or "clean sessions", follow this workflow.

Trigger keywords: temizlik yap, clean sessions

Workflow

Step 1: Dry-run first

ALWAYS dry-run first — deletion is irreversible:

SKILL_DIR=$(dirname $(readlink -f ~/.hermes/skills/productivity/session-cleaner/SKILL.md))
python3 "$SKILL_DIR/scripts/hermes_cleaner.py" --dry-run

Step 2: Report and confirm

Show the user:

• How many sessions will be deleted (and some examples)
• How many sessions will get titles

Ask for confirmation. User may want to adjust --min-messages or skip parts.

Step 3: Run for real

python3 "$SKILL_DIR/scripts/hermes_cleaner.py"

Options

Flag	Effect
--dry-run	Preview only, no changes
--min-messages N	Delete sessions with < N messages (default: 5)
--no-delete	Skip deletion, only generate titles
--no-title	Skip title generation, only delete
--max-titles N	Max titles per run (default: 20)

Configuration

Default is DeepSeek v4 Flash API (works everywhere, needs API key in .env):

Env var	Default	Description
HERMES_CLEANER_MODEL	deepseek-v4-flash	Model for title generation
HERMES_CLEANER_ENDPOINT	https://api.deepseek.com/v1/chat/completions	API endpoint
HERMES_CLEANER_API_KEY	auto-loaded from ~/.hermes/.env (DEEPSEEK_API_KEY)	API key

To switch to local Ollama:

export HERMES_CLEANER_ENDPOINT="http://localhost:11434/v1/chat/completions"
export HERMES_CLEANER_MODEL="hermes3:latest"
export HERMES_CLEANER_API_KEY=""

Important Rules

• Dry-run first. Always. Deletion is IRREVERSIBLE.
• Short sessions are deleted FIRST, then titles generated for remaining untitled ones. This avoids generating titles for sessions that will be deleted anyway.
• Title generation uses the same model rules as session-ending skill — see its Pitfalls section for model selection guidance.

Pitfalls

Same model pitfalls as session-ending

This skill uses the same title generation pipeline as session-ending. All pitfalls from that skill apply — see session-ending skill's Pitfalls section for the full model compatibility table. Key points:

• deepseek-v4-flash requires max_tokens ≥ 500 (script already uses 500)
• deepseek-chat and hermes3:latest work with any limit
• Ollama thinking models (gemma4:12b, qwen3.5:9b) are unreliable — avoid
• Markdown stripping and strict prompt formatting are handled by the script

Overlap between short AND untitled sessions

Sessions that are both short (< N msgs) AND untitled appear in both lists during scan. The script handles this correctly: delete runs first, so these sessions are removed before title generation starts. No titles are wasted on doomed sessions.

See Also

• session-ending skill — per-session title + save workflow ("ending")
• Gitea repo: https://github.com/alhan/hermes-session-cleaner