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 timurgaleev/memex --skill briefinggit clone --depth 1 https://github.com/timurgaleev/memexWrote 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/timurgaleev/memex/briefing)<a href="https://agentmods.dev/skills/timurgaleev/memex/briefing"><img src="https://agentmods.dev/badge/skills/timurgaleev/memex/briefing/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/timurgaleev/memex/briefing"><img src="https://agentmods.dev/badge/skills/timurgaleev/memex/briefing.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 | $0.00016 | $0.01610 |
| Opus 5.5 | $0.00006 | $0.00644 |
| Sonnet 5.5 | $0.00003 | $0.00322 |
| Haiku 4.5 | $0.00002 | $0.00161 |
Grade A, and why
briefing 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 1mo 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Briefing Skill
Compile a daily briefing from brain context.
Filing rule: When the briefing creates or updates brain pages, follow
skills/_brain-filing-rules.md(viaget_skill _brain-filing-rules).
Contract
- Every fact in the briefing includes an inline
[Source: slug, updated DATE]citation. - Meeting participants are resolved against the brain; gaps are explicitly flagged.
- Active deals and action items include deadlines and recency context.
- The briefing is read-only: no brain pages are created or modified unless the user explicitly requests it.
- Stale alerts surface pages relevant to today's context, not just all stale pages.
Phases
-
Hot memory pulse. Before composing anything else, pull the since-last-briefing window and its deltas:
chronicle_last_seen → when the operator was last briefed recall { since: <last_seen> } → new facts in the window fact_supersessions → contradictions resolved in the window get_recent_salience → top entities by recent activity chronicle_since <last_seen> → the narrative of what happenedFold the result into the briefing under a "Brain pulse" section at the top:
- Contradictions resolved overnight — the
fact_supersessionsoutput. Lead with these because they're new corrections to your model of the world. - Top mentions — from
get_recent_salience(top 5 entity slugs by recent-activity weight in the window). - New facts since last briefing — group the
recallfacts under each entity from the salience list; includekind,notability, andconfidence. - Consolidation footer — the brain's background cycle handles fact
consolidation on its own schedule; if
run_doctorreports the cycle in a warn state, note it so the operator can runmemex cyclebefore reading further.
chronicle_last_seenadvances the cursor so the next briefing picks up exactly where this one left off — no local cursor file to manage; the brain tracks it server-side, which also makes timer-driven runs safe. - Contradictions resolved overnight — the
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.
- 1mo ago First seen · 168 lines · 16 tokens per session scan A 4bc0805eefbe
briefing is a skill published in the GitHub repository timurgaleev/memex (11 stars, last pushed 21d ago), licensed MIT. It adds 16 tokens to every session and 1,610 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 2026-08-31.
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