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 cyberbird2048/gbrainmcp-clean --skill briefinggit clone --depth 1 https://github.com/cyberbird2048/gbrainmcp-cleanWrote 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/cyberbird2048/gbrainmcp-clean/briefing)<a href="https://agentmods.dev/skills/cyberbird2048/gbrainmcp-clean/briefing"><img src="https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/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/cyberbird2048/gbrainmcp-clean/briefing"><img src="https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/briefing.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 | $0.00016 | $0.01464 |
| Opus 5 | $0.00008 | $0.00732 |
| Sonnet 5 | $0.00003 | $0.00293 |
| Haiku 4.5 | $0.00002 | $0.00146 |
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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- briefing — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 153 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.
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 (v0.32). Before composing anything else, run:
gbrain recall --since-last-run --supersessions --pending --rollup --jsonFold the result into the briefing under a "Brain pulse" section at the top:
- Contradictions resolved overnight — the
--supersessionsoutput. Lead with these because they're new corrections to your model of the world. - Top mentions —
top_entitiesfrom--rollup(top 5 entity slugs by fact count in the window). - New facts since last briefing — group the
factsarray under each entity from the rollup; includekind,notability, andconfidence. - Pending consolidation footer — when
pending_consolidation_count > 0, noteN facts await dream-cycle consolidationso the operator can decide whether to rungbrain dreambefore reading further.
The
--since-last-runflag advances~/.gbrain/recall-cursors/<source>.jsonso the next briefing picks up exactly where this one left off. If you're running this as a cron job, pass--source <slug>or setGBRAIN_SOURCEexplicitly — cron doesn't start in your repo-root cwd, so dotfile resolution may miss the right source. Thin-client installs (gbrain init --mcp-only) route through the remote brain transparently. - Contradictions resolved overnight — the
-
Today's meetings. For each meeting on the calendar:
- Search gbrain for each participant by name
- Read their pages from gbrain for compiled_truth context
- Summarize: who they are, recent timeline, relationship to you
-
Active deals. List deal pages in gbrain filtered to active status:
- Deadlines approaching in the next 7 days
- Recent timeline entries (last 7 days)
-
Time-sensitive threads. Open items from timeline entries:
- Items with deadlines in the next 48 hours
- Follow-ups that are overdue
-
Recent changes. Pages updated in the last 24 hours:
- What changed and why (read timeline entries from gbrain)
-
People in play. List person pages in gbrain sorted by recency:
- Updated in last 7 days
- Have high activity (many recent timeline entries)
-
Stale alerts. From gbrain health check:
- Pages flagged as stale that are relevant to today's meetings
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.
- 9d ago First seen · 153 lines · 16 tokens per session scan A a661804c3eb2
briefing is a skill published in the GitHub repository cyberbird2048/gbrainmcp-clean (0 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 1,464 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.
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