Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add loulanyue/awesome-claude-notes/plugin install awesome-claude-notesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/loulanyue/awesome-claude-notes/prune)<a href="https://agentmods.dev/commands/loulanyue/awesome-claude-notes/prune"><img src="https://agentmods.dev/badge/commands/loulanyue/awesome-claude-notes/prune.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.00230 |
| Opus 5 | $0.00008 | $0.00115 |
| Sonnet 5 | $0.00003 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
prune scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Prune Pending Instincts
Remove expired pending instincts that were auto-generated but never reviewed or promoted.
Implementation
Run the instinct CLI using the plugin root path:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/scripts/instinct-cli.py" prune
Or if CLAUDE_PLUGIN_ROOT is not set (manual installation):
python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py prune
Usage
/prune # Delete instincts older than 30 days
/prune --max-age 60 # Custom age threshold (days)
/prune --dry-run # Preview without deleting
Navigation
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 39 lines · 15 tokens per session scan A 1150df3e2e88
prune is a command published in the GitHub repository loulanyue/awesome-claude-notes (270 stars, last pushed 4d ago), licensed MIT. It adds 15 tokens to every session and 230 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other commands, from other repositories
context-stats
Display context window usage and token statistics.
run
Execute prompt(s) from ./prompts/ with automatic archiving - for structured prompt-based work.
help
Explain Ralph Wiggum technique and available commands.
cancel-ralph
Cancel active Ralph Wiggum loop.
handoff
Create a handoff document for seamless session continuity.
context-health
Dashboard de salud del contexto activo con predicción de degradación y recomendaciones de compactación. Usa cuando el usuario dice "context health", "salud del contexto", "degradation", "compactar contexto", "context overflow", "tokens", "session health", "compact", "contexto lleno". Monitorea degrdación del contexto…