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 AmineDjeghri/personal-os-setup --skill hermes-session-recallgit clone --depth 1 https://github.com/AmineDjeghri/personal-os-setupWrote 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/aminedjeghri/personal-os-setup/hermes-session-recall)<a href="https://agentmods.dev/skills/aminedjeghri/personal-os-setup/hermes-session-recall"><img src="https://agentmods.dev/badge/skills/aminedjeghri/personal-os-setup/hermes-session-recall/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/aminedjeghri/personal-os-setup/hermes-session-recall"><img src="https://agentmods.dev/badge/skills/aminedjeghri/personal-os-setup/hermes-session-recall.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 | $0.00015 | $0.01215 |
| Opus 5.5 | $0.00006 | $0.00486 |
| Sonnet 5.5 | $0.00003 | $0.00243 |
| Haiku 4.5 | $0.00002 | $0.00121 |
Grade A, and why
hermes-session-recall 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 18d 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.
How it starts
The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hermes Session Recall (session_search)
Recovering state from past conversations: where a task left off, what question was pending, what a session's final message said. Triggered by "prompt me again" after an approval timeout, "where did we leave off", or any recall request about earlier sessions.
Procedure
- Discovery first, narrow:
session_search(query=<distinctive keywords>, sort="newest", limit=3). Adaptive detail hydrates the top hit fully with an anchored window around the match — enough to answer most recall questions in one call.sort="newest"biases toward "where did we leave off". - To find how a session ENDED, phrase-match the tail: query for wording the final message would plausibly use ("waiting on you", "your call", "merge it when ready", "what remains"). The hydrated window lands ON the last message — which is the pending question/state you need.
- Zoom in with the scroll shape:
session_search(session_id=..., around_message_id=<match_message_id>, window=N). Keep windows small; addrole_filter="user,assistant"to exclude tool noise. - Re-fire pending prompts: after an approval/clarify timeout, the user's "prompt me again" means re-present the SAME question — recover its text from the session tail (step 2), then re-issue it promptly. If recovery fails after one or two quick attempts, ask the user plainly what decision they're approving — never silently re-derive a different question.
When the prior conversation is NOT in this context
A follow-up that reads as a continuation ("write a doc about this", "same branch as before") often arrives in a NEW session created seconds earlier: none of the earlier conversation is in context, and the referring words ("this", "both", "the PR") are unresolvable from the message alone. Resolve the referent before acting on it.
- Browse live activity, never infer it:
session_search()with no args lists the most recently ACTIVE sessions (started_at / last_active + preview). The session whose last_active is minutes old is the conversation being continued — confirm from its preview, then read or scroll it. - Bound the browse with
after="<date>")when several sessions compete. The bound applies to session START, so a long-running session that spans days falls outside a recent bound — drop the filter for those and rank by last_active instead. - Read the tail, then answer: scroll the found session near its end (a real id from that session; the LAST id of one window re-scrolls forward) and reconstruct what the last exchange actually asked, then act on that — not on the literal wording of the new message.
~/.hermes/sessions/sessions.jsonis the gateway routing index (session key → active session id), not a session list: the key for the current thread points at the session created moments ago, while the conversation being continued sits under a different key. Use it to resolve a routing key only — never to find "the last conversation".
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 18d ago Changed · -1 lines 9ab52caad37d
- 27d ago First seen · 39 lines · 15 tokens per session scan A f2c9822d7dce
hermes-session-recall is a skill published in the GitHub repository AmineDjeghri/personal-os-setup (654 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 1,215 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-19.
Other skills, from other repositories
hula-skill
HuLa project skill for frontend (Vue 3 + Vite + UnoCSS + Naive UI/Vant), backend (Tauri v2 + Rust + SeaORM/SQLite), full-stack flows, and build/release work. Use when the user mentions hula or HuLa or requests changes in this repository; after triggering, ask which scope (frontend/backend/fullstack/build-release) to…
notion
Read, create, and update Notion pages and databases via the Notion REST API.
flow-launcher
Build Flow Launcher plugins with C# or Python JSON-RPC, configure plugin manifests, and integrate Everything search.
microsoft-powertoys
Configure PowerToys FancyZones, Run, Keyboard Manager, and Awake; automate settings and troubleshoot Windows utility behavior.
eartrumpet
Inspect and route per-application audio with EarTrumpet, WASAPI, and pycaw; troubleshoot audio sessions and output devices.
wsl-bash-crlf-or-tempfile
When a Windows shell (PowerShell/cmd) feeds a bash script into WSL, CRLF line endings can corrupt the first shell builtin; force LF or pipe via a temp file.