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 skills add joshuaswarren/remnic --skill remnic-searchgit clone --depth 1 https://github.com/joshuaswarren/remnicWrote 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/skills/joshuaswarren/remnic/remnic-search)<a href="https://agentmods.dev/skills/joshuaswarren/remnic/remnic-search"><img src="https://agentmods.dev/badge/skills/joshuaswarren/remnic/remnic-search/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/joshuaswarren/remnic/remnic-search"><img src="https://agentmods.dev/badge/skills/joshuaswarren/remnic/remnic-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00481 |
| Opus 5 | $0.00016 | $0.00241 |
| Sonnet 5 | $0.00007 | $0.00096 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
remnic-search 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 12d 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
When to use
Use when remnic-recall did not surface something the user insists exists, or when the task genuinely needs exhaustive coverage rather than a ranked semantic summary.
Triggers:
- "Search memories for …"
- "Deep search on …"
/remnic:search <query>slash command invocation.- Follow-up after
remnic-recallreturned nothing useful.
Inputs
query(required) — literal phrase or keyword string; this is full-text, not semantic.- Optional: date range, category filter, entity constraint.
Procedure
- Pick the most literal phrase the user expects to match.
- Call
remnic_lcm_searchwith that phrase. - Group results by date or category when the tool returns enough metadata.
- Present the top 5–10 matches with dates and short excerpts.
- If still nothing, say so plainly and offer
remnic-rememberfor capturing the content going forward.
Efficiency plan
- Use the most specific phrase available.
- One targeted search beats several broad ones.
- Do not re-run a deep search for the same topic in the same turn after recall already covered it.
Pitfalls and fixes
- Pitfall: Using
remnic_lcm_searchas the default. Fix: Start withremnic_recall; escalate only when recall fails. - Pitfall: Pasting huge result dumps. Fix: Show top matches with excerpts.
- Pitfall: Over-broad queries. Fix: Require at least one distinctive keyword.
Verification checklist
-
remnic_lcm_searchwas called only after recall fell short or exhaustive matching was required. - Results were grouped by relevance or date when possible.
- Output shows excerpts, not raw payloads.
- Canonical
remnic_lcm_searchwas used over legacyengram_lcm_search.
Tool names: canonical name is
remnic_lcm_search. The legacyengram_lcm_searchalias remains accepted during v1.x.
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.
- 12d ago First seen · 52 lines · 33 tokens per session scan A 2ce3929c769f
remnic-search is a skill published in the GitHub repository joshuaswarren/remnic (198 stars, last pushed 4d ago), licensed MIT. It adds 33 tokens to every session and 481 once invoked, about $0.0002 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.
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