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.
git clone --depth 1 https://github.com/Mark393295827/third-brain-v7-skillsWrote 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/mark393295827/third-brain-v7-skills/session-learn)<a href="https://agentmods.dev/commands/mark393295827/third-brain-v7-skills/session-learn"><img src="https://agentmods.dev/badge/commands/mark393295827/third-brain-v7-skills/session-learn.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 | $0.00023 | $0.00099 |
| Opus 5 | $0.00012 | $0.00049 |
| Sonnet 5 | $0.00005 | $0.00020 |
| Haiku 4.5 | $0.00002 | $0.00010 |
Grade A, and why
session-learn 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
Run the session-learn skill — scan session for new concepts, entities, corrections, patterns, decisions, and gaps.
Resolve destinations from system/config.md when present. The run is successful only when saved items are classified by signal type, written to durable notes or explicitly skipped, and the final summary separates saved files from open questions.
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 · 8 lines · 23 tokens per session scan A ee6113e5334b
session-learn is a command published in the GitHub repository Mark393295827/third-brain-v7-skills (138 stars, last pushed 16d ago), licensed MIT. It adds 23 tokens to every session and 99 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.
Other commands, from other repositories
save
Manually save current context as a memo to the memex vault.
status
Show memex statistics and status including projects, memos, and pending items.
curate
A command for maintaining a file-based knowledge wiki. It can review pages, shorten overlong material, manage page lifecycles, find possible contradictions, and rebuild weak connections between notes.
ingest
A command for adding information to a file-based knowledge wiki from web pages, files, or text notes. It classifies the material, updates or creates wiki pages, and adds links between related pages.
init-project
Configure this project for Obsidian PKM — connects the repo to a vault project folder and writes CLAUDE.md integration directives.
onboard
An interview-based setup command for an LLM Wiki, a notes system designed for use with language models. It asks about your wiki, files, working mode, and personal context, then fills in the setup details.