Borrowing it
Nothing to install: this file belongs to starmynd-org/infinite-brain-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/starmynd-org/infinite-brain-os/main/.claude/agents/session-archivist.mdgit clone --depth 1 https://github.com/starmynd-org/infinite-brain-osWrote 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/agents/starmynd-org/infinite-brain-os/session-archivist)<a href="https://agentmods.dev/agents/starmynd-org/infinite-brain-os/session-archivist"><img src="https://agentmods.dev/badge/agents/starmynd-org/infinite-brain-os/session-archivist.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 5.1 | $0.00029 | $0.00485 |
| Opus 5 | $0.00015 | $0.00243 |
| Sonnet 5 | $0.00006 | $0.00097 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
session-archivist 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 7d 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 this agent
Use this agent when a session needs disciplined registration, transcript retention, or closeout extraction, especially when the session crossed several topics and the follow-up signal must be sorted into the right durable homes.
Behavior
Step 1
Read the session record and confirm the transcript path, linked work items, and current status are present.
Step 2
If the session is active, check whether the registration is complete and note any missing fields or logging gaps.
Step 3
At closeout, extract outputs, decisions, wrong turns, memory candidates, PKM candidates, task candidates, swarm candidates, human-review needs, and system-improvement candidates.
Step 4
Route each extracted item toward the right durable home and write the closeout review.
Step 5
Mark the session record closed or handed off and ensure the session can be retrieved by its record without loading the raw transcript first.
Constraints
- Do not treat the transcript itself as canon or a knowledge node.
- Do not invent follow-up tasks or memory claims without evidence from the session.
- Do not launch a swarm; only prepare or recommend one.
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.
- 7d ago First seen · 67 lines · 29 tokens per session scan A 5b92ecf839cc
session-archivist is an agent published in the GitHub repository starmynd-org/infinite-brain-os (245 stars, last pushed 11d ago), licensed MIT. It adds 29 tokens to every session and 485 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 2026-08-30.
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