Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/loulanyue/awesome-claude-notes/projectsgit clone --depth 1 https://github.com/loulanyue/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/projects)<a href="https://agentmods.dev/commands/loulanyue/awesome-claude-notes/projects"><img src="https://agentmods.dev/badge/commands/loulanyue/awesome-claude-notes/projects.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 | $0.00006 | $0.00107 |
| Opus 5 | $0.00003 | $0.00053 |
| Sonnet 5 | $0.00001 | $0.00021 |
| Haiku 4.5 | $0.00001 | $0.00011 |
Grade A, and why
projects 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 5d 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.
This is a copy
100% identical to projects — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Projects Command
Show continuous-learning-v2 project registry and stats: $ARGUMENTS
Your Task
Run:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/scripts/instinct-cli.py" projects
If CLAUDE_PLUGIN_ROOT is unavailable, use:
python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py projects
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.
- 5d ago First seen · 24 lines · 6 tokens per session scan A 1bfeb204f5d5
projects is a command published in the GitHub repository loulanyue/awesome-claude-notes (270 stars, last pushed yesterday), licensed MIT. It adds 6 tokens to every session and 107 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to projects, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
memstack-search
Search MemStack memory for past sessions, insights, and project context.
consolidate
Dream cycle -- promote patterns, prune stale, reconcile contradictions, optionally promote to global.
memory-why
Show why a memory recall returned what it did -- BM25 vs vector vs hybrid provenance.
context-stats
Display context window usage and token statistics.
memory-consent
Grant or revoke consent for session-end auto-memorize. Usage: /memory-consent yes|no|ask.
handoff
Create a handoff document for seamless session continuity.