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 mocasus/paleo --skill paleo-conversegit clone --depth 1 https://github.com/mocasus/paleoWrote 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/mocasus/paleo/paleo-converse)<a href="https://agentmods.dev/skills/mocasus/paleo/paleo-converse"><img src="https://agentmods.dev/badge/skills/mocasus/paleo/paleo-converse/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/mocasus/paleo/paleo-converse"><img src="https://agentmods.dev/badge/skills/mocasus/paleo/paleo-converse.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00082 | $0.00414 |
| Opus 5 | $0.00041 | $0.00207 |
| Sonnet 5 | $0.00016 | $0.00083 |
| Haiku 4.5 | $0.00008 | $0.00041 |
Grade A, and why
paleo-converse 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 10d 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
paleo-converse
Conversation compression. Shrink old turns, keep recent verbatim.
Rules
- Merge consecutive near-duplicate messages (same ask re-phrased) into one.
- Condense turns older than the last N (default 6) into a tight summary: goals, decisions, open questions, key values.
- Keep the last N turns verbatim — do not rewrite the user's most recent intent.
- Preserve: file paths, commands, IDs, code snippets, error strings, decisions.
- Drop: chit-chat, repeated confirmations, "ok great thanks", filler.
- Never summarize away the current task or a pending question.
Levels
lite: merge duplicates only, keep all turns.full(default): merge + condense turns older than N.ultra: condense everything older than the last 3 turns.
Switch
paleo-converse/condense chaton.stop condensing/keep full historyoff.paleo-converse N=8sets the retained verbatim window.
Gotchas
- Don't compress the turn you're acting on — only history.
- If the user references "what we said earlier" ambiguously, keep a bit more context.
- High-stakes (legal/spec/config review): keep exact quotes.
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.
- 10d ago First seen · 36 lines · 82 tokens per session scan A 68d429e2a393
paleo-converse is a skill published in the GitHub repository mocasus/paleo (20 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 414 once invoked, about $0.0004 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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Use this skill when the user asks about pruning Hermes sessions, session retention, session DB size, hermes sessions prune, sessions.autoprune, sessions.retentiondays, session export/backup, or whether old conversations should be capped.
memory-init
Scaffold a project-local memory directory and AGENTS.md guidance for reusable agent knowledge. Use when a user wants to initialize .agents/memories/ or another project memory path so future agents can read and maintain durable project context.
mnemosyne-maintenance
Use when: upgrading Mnemosyne, diagnosing slow/hung consolidation (mnemosynesleep), fixing missing embeddings, or troubleshooting import/version mismatches.
obsidian-memory-architecture
Use when designing, setting up, or maintaining an Obsidian vault as Hermes Agent's durable knowledge layer. Routes facts, conversation history, documents, procedures, and daily logs to the correct Hermes or vault system without duplicating everything into the prompt.