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 cynthiajones34/GBrain --skill querygit clone --depth 1 https://github.com/cynthiajones34/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/cynthiajones34/gbrain/query)<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/query"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/query/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/cynthiajones34/gbrain/query"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/query.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 | $0.00040 | $0.01462 |
| Opus 5.5 | $0.00016 | $0.00585 |
| Sonnet 5.5 | $0.00008 | $0.00292 |
| Haiku 4.5 | $0.00004 | $0.00146 |
Grade A, and why
query 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.
This is a copy
92% identical to query — 78 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.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Query Skill
Answer questions using the brain's knowledge with 3-layer search and synthesis.
Contract
This skill guarantees:
- Every answer is grounded in brain content (no hallucination)
- Every claim has a citation tracing back to a specific page slug
- Gaps are flagged explicitly ("the brain doesn't have information on X")
- Source precedence is respected (user statements > compiled truth > timeline > external)
- Conflicting sources are noted with both citations
Phases
- Decompose the question into search strategies:
- Keyword search for specific names, dates, terms
- Semantic query for conceptual questions
- Structured queries (list by type, backlinks) for relational questions
- Execute searches:
- Keyword search gbrain for FTS matches (search)
- Hybrid search gbrain for semantic+keyword with expansion (query)
- List pages in gbrain by type or check backlinks for structural queries
- Read top results. Read the top 3-5 pages from gbrain to get full context.
- Synthesize answer with citations. Every claim traces back to a specific page slug.
- Flag gaps. If the brain doesn't have info, say "the brain doesn't have information on X" rather than hallucinating.
Anti-Patterns
- Answering from general knowledge when the brain has relevant content
- Hallucinating facts not in the brain
- Silently picking one source when sources conflict
- Loading full pages when search chunks are sufficient
- Ignoring source precedence (user statements are highest authority)
Output Format
Answers should include:
- Direct response to the question
- Citations: "According to [Source: people/jane-doe, compiled truth]..."
- Gap flags: "The brain doesn't have information on X"
- Conflict notes when sources disagree
Quality Rules
- Never hallucinate. Only answer from brain content.
- Cite sources: "According to concepts/do-things-that-dont-scale..."
- Flag stale results: if a search result shows [STALE], note that the info may be outdated
- For "who" questions, use backlinks and typed links to find connections
- For "what happened" questions, use timeline entries
- For "what do we know" questions, read compiled_truth directly
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 156 lines · 40 tokens per session scan A e155a0804998
query is a skill published in the GitHub repository cynthiajones34/GBrain (0 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 1,462 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to query, differing in 78 lines, and is treated as a copy.
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