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/jokem543/seance/seancegit clone --depth 1 https://github.com/JokeM543/seanceWrote 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/commands/jokem543/seance/seance)<a href="https://agentmods.dev/commands/jokem543/seance/seance"><img src="https://agentmods.dev/badge/commands/jokem543/seance/seance.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.00658 |
| Opus 5 | $0.00012 | $0.00329 |
| Sonnet 5 | $0.00005 | $0.00132 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
seance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are conducting a séance: handing this session off to a brand-new Claude chat that starts with no memory of this conversation. The note you write is the only thing it will see, so make it complete enough that the next session can resume the task immediately.
Step 1 — Generate the note and open the new chat
By default, offload the summarizing to a cheaper model so this (expensive) session does not spend a turn composing the note. Run this single command:
node "${CLAUDE_PLUGIN_ROOT}/scripts/seance-summarize.mjs" --open --note "$ARGUMENTS"
It reads this session's transcript, trims it to a small digest, writes
${CLAUDE_PROJECT_DIR}/.claude/seance.md using a separate model (Sonnet by default;
configurable via the summarizer plugin option), and opens a fresh Claude chat pre-loaded
with it. If it exits 0, you're done — go to Step 2.
Fallback — compose it yourself
If that command fails (non-zero exit) — e.g. claude -p is unavailable, or the user set
summarizer = self (the script bails so this path runs) — then compose the note from THIS
conversation yourself and open the chat manually:
-
Write
${CLAUDE_PROJECT_DIR}/.claude/seance.md(create.claude/if needed) using exactly these sections:# Séance note ## Goal <objective, 1–3 sentences> ## Current state <what's done; what works / doesn't right now> ## Key decisions & constraints <choices made, what NOT to redo, conventions, gotchas> ## Files touched <bullet list of paths, each a one-line note> ## Next steps <ordered, actionable to-do — start here> ## How to run / test <exact commands>Keep it lean (this is the point): ≤ ~40 lines, bullets only, reference files by path, never paste code or long output, omit empty sections, capture decisions/state — not a transcript. If the user passed an extra note as
$ARGUMENTS, fold it into Next steps. -
Open the new chat:
node "${CLAUDE_PLUGIN_ROOT}/scripts/seance-open.mjs" --file "${CLAUDE_PROJECT_DIR}/.claude/seance.md"
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.
- 4d ago First seen · 71 lines · 24 tokens per session scan A 1b045d823686
seance is a command published in the GitHub repository JokeM543/seance (5 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 658 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 2026-08-31.
Other commands, from other repositories
decompose
Decompose an RLM execution chain into subtasks and begin processing.
rlm-status
Check the status and progress of an RLM execution chain.
load-context
Load a large file or content into the RLM system for chunk-based analysis.
recall-loop
Periodic memory digest — designed for use with Claude Code's /loop scheduler. Shows recent memories and pending to-dos in a compact, scannable format.
recall-set-key
Update your Recall API key across every location Claude Code reads it from. Run this whenever you generate a new key from https://recallmcp.com/dashboard/keys.
recall-update
Manually trigger a Recall plugin update, or toggle auto-update on/off.