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 aivrar/portable-hermes-agent --skill session-librariangit clone --depth 1 https://github.com/aivrar/portable-hermes-agentWrote 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/aivrar/portable-hermes-agent/session-librarian)<a href="https://agentmods.dev/skills/aivrar/portable-hermes-agent/session-librarian"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/session-librarian/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/aivrar/portable-hermes-agent/session-librarian"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/session-librarian.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 | $0.00019 | $0.01127 |
| Opus 5 | $0.00010 | $0.00563 |
| Sonnet 5 | $0.00004 | $0.00225 |
| Haiku 4.5 | $0.00002 | $0.00113 |
Grade A, and why
session-librarian 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- session-librarian — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Librarian
Manage the user's session library conversationally: find past sessions about a topic, summarize what they decided, rename them meaningfully, split work into parallel sessions, and propose stale ones for archive or deletion — all from a plain-language request like "find my sessions about Q3 pricing, keep the useful ones, and clean up the duplicates."
Inspired by Perplexity Computer's prompt-driven session management (Aug 2026): the agent starts, organizes, and cleans up the user's own session library, and always shows the plan before touching anything.
When to Use
- "What sessions do I have about X?" / "What did we decide about X?"
- "Rename these sessions to something meaningful."
- "Clean up my session library" / "archive the stale ones."
- "Fork that session into a follow-up focused on Y."
- "Split this into one session per ticket" (see Parallel workstreams below).
The Two Surfaces
| Task | Surface |
|---|---|
| Find sessions by topic, read content, summarize decisions | session_search tool (FTS5 over the message store) |
| List/filter by metadata (age, source, cost, tokens, workspace) | hermes sessions list / stats via terminal |
| Rename | hermes sessions rename <session_id> <title...> |
| Bulk soft-hide (reversible) | hermes sessions archive <filters> |
| Delete (destructive) | hermes sessions delete / hermes sessions prune <filters> |
| Export before deleting anything valuable | hermes sessions export --session-id <id> --format md |
| Continue work in a new place | /branch (fork current session) or start a fresh session and cite the summary |
Procedure
① Discover. Use session_search(query=..., limit=5-10) with topic
keywords; vary phrasing (feature name, symptom, project name). For metadata
sweeps ("sessions older than 60 days from telegram"), use
hermes sessions list --source telegram --limit 50 instead.
② Summarize per session. The discovery result's bookend_start (goal),
match window, and bookend_end (resolution) usually suffice — only dump a
full session (session_search(session_id=...)) when the user asks for
decisions in depth. Report each as: link (@session: form) — one-line goal —
one-line outcome.
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.
- 6d ago First seen · 106 lines · 19 tokens per session scan A 9da2d0ba82b7
session-librarian is a skill published in the GitHub repository aivrar/portable-hermes-agent (217 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 1,127 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 2026-09-03.
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