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 laozhong86/gbrain --skill briefinggit clone --depth 1 https://github.com/laozhong86/gbrainWrote 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/laozhong86/gbrain/briefing)<a href="https://agentmods.dev/skills/laozhong86/gbrain/briefing"><img src="https://agentmods.dev/badge/skills/laozhong86/gbrain/briefing.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 | $0.00015 | $0.00217 |
| Opus 5 | $0.00008 | $0.00109 |
| Sonnet 5 | $0.00003 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
gbrain-briefing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to gbrain-briefing — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Briefing Skill
Workflow
- Start with
gbrain statsto get overall state. - Pull recent updates with
gbrain list --limit 20. - Pull important people, companies, and deals with filtered
gbrain listcalls. - Read the most relevant pages with
gbrain get <slug>and scan for open threads or near-term deadlines. - Summarize what changed, what matters now, and what needs action next.
Output format
- current state at a glance
- active threads
- important people and companies in play
- recent changes worth remembering
- stale items or follow-ups needing action
Write the result back into the brain:
cat briefing.md | gbrain put sources/briefing-$(date +%Y-%m-%d)
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.
- 8d ago First seen · 34 lines · 15 tokens per session scan A 7c1a79988b6c
gbrain-briefing is a skill published in the GitHub repository laozhong86/gbrain (8 stars, last pushed 5mo ago), licensed MIT. It adds 15 tokens to every session and 217 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gbrain-briefing, differing in 0 lines, and is treated as a copy.
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