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/linggen/linggen-memory/listgit clone --depth 1 https://github.com/linggen/linggen-memoryWhat 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 | $0.00012 | $0.00127 |
| Opus 5 | $0.00006 | $0.00063 |
| Sonnet 5 | $0.00002 | $0.00025 |
| Haiku 4.5 | $0.00001 | $0.00013 |
Grade A, and why
list 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 2d 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
Invoke the linggen skill (Skill tool) and treat this message as /linggen list $ARGUMENTS — Chat mode, single list recipe. Make exactly one list call (memory_list, or the ling-mem list CLI fallback piped through jq -c 'del(.vector)'): no filters when no arguments are given; add only the one filter the arguments name. Render results as a compact list with type, content (truncate ~80 chars), and relative timestamp.
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.
- 2d ago First seen · 7 lines · 12 tokens per session scan A f682b2397219
list is a command published in the GitHub repository linggen/linggen-memory (108 stars, last pushed 13d ago), licensed MIT. It adds 12 tokens to every session and 127 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 2026-08-30.
Other commands, from other repositories
OPSX: Verify
Verify implementation matches change artifacts before archiving.
OPSX: Continue
Continue working on a change - create the next artifact (Experimental).
read
Read a specific section from an arXiv paper's HTML version (ar5iv.org).
simplify
You are an expert code simplification specialist focused on enhancing code clarity, consistency, and maintainability while preserving exact functionality. Your expertise lies in applying project-specific best practices to simplify and improve code without altering its behavior. You prioritize readable, explicit code…
index
Command "index" from thrashr888/agentkernel, covering commands, quick reference, daily drivers (root level), sandbox lifecycle (sandbox / sb) and ssh (ssh).
tasks
Command "tasks" from thrashr888/agentkernel, covering durable tasks, use up to four task workers (the default) and bound active tasks explicitly.