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 imphillip/gbrain-openclaw --skill briefinggit clone --depth 1 https://github.com/imphillip/gbrain-openclawWrote 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/imphillip/gbrain-openclaw/briefing)<a href="https://agentmods.dev/skills/imphillip/gbrain-openclaw/briefing"><img src="https://agentmods.dev/badge/skills/imphillip/gbrain-openclaw/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 | $0.00030 | $0.00418 |
| Opus 5 | $0.00015 | $0.00209 |
| Sonnet 5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
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.
What it actually says
Briefing Skill
Briefing structure
-
Overview —
gbrain statsto get brain state at a glance. -
Active deals —
gbrain list --type deal --tag activeFor each:gbrain get <slug>→ State + deadlines + what's changed. -
Open threads — Scan recently updated pages for Open Threads with time-sensitive items:
gbrain list --limit 30 # recently updated gbrain get <slug> # for each, check Open Threads section -
People in play —
gbrain list --type person --limit 20Prioritize: pages updated in last 7 days, tagged withactiveorfollow-up. -
Recent brain changes —
gbrain list --limit 20sorted by updated_at. What was ingested, what's new, what changed. -
Stale alerts — Pages that haven't been updated in 30+ days but have open threads.
Output format
# Brain Briefing — YYYY-MM-DD
## Active Deals
- **[Company](companies/slug)** — status, next step, deadline
## Open Threads
- **[Person](people/slug)** — what needs to happen
## People in Play
- **[Name](people/slug)** — current context
## Recent Activity
- Updated: slug, slug, slug
## Needs Attention
- Stale pages, unresolved threads
Delivery
Write briefing to 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 · 61 lines · 30 tokens per session scan A 421a148ba3ba
gbrain-briefing is a skill published in the GitHub repository imphillip/gbrain-openclaw (11 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 418 once invoked, about $0.0002 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 skills, from other repositories
cold-start
Day-one data bootstrapping for a new brain. Sequences the highest-leverage data sources to go from empty brain to useful brain in one session. Uses the agent host's managed connectors for safe credential handling — the agent never holds raw API keys. Covers Gmail import, calendar sync, contacts seeding, X/Twitter…
eiirp
Everything In Its Right Place. The universal post-work organizer. After any significant work session, EIIRP runs a 7-phase audit: (1) inventory every output, (2) walk the filing taxonomy to decide where each lands, (3) check ontology consistency against the brain's actual shape, (4) file enriched brain pages, (5)…
wiki-switch
Switch between multiple Obsidian wiki vault profiles. Use this skill when the user says "/wiki-switch NAME", "switch to my work wiki", "switch vault", "change wiki", "which wiki am I on", "list my wikis", "show my vaults", "create a new vault config", or "add a new wiki profile". The skill manages named config files…
company-brain
Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so Claude can answer questions on your team's behalf. Team-scope sibling to second-brain (which is personal-scope). Seven modes — capture (drop something into the right structured dir), compile (process into wiki…
second-brain
When you want to capture into, compile, query, lint, or connect your personal Second Brain. Wraps the Karpathy LLM Wiki schema (Obsidian or any markdown vault) — raw/ (unprocessed sources), wiki/ (AI-compiled interlinked topic pages), outputs/ (generated artifacts). Tool-agnostic in design but defaults to a vault at…
knowledge-base-management
A lifecycle system for managing an Obsidian knowledge base, which is a folder of linked notes. It organizes raw material, AI-maintained wiki pages, and generated views into separate layers.