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 QuantumBFS/sci-brain --skill surveygit clone --depth 1 https://github.com/QuantumBFS/sci-brainWrote 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/quantumbfs/sci-brain/survey)<a href="https://agentmods.dev/skills/quantumbfs/sci-brain/survey"><img src="https://agentmods.dev/badge/skills/quantumbfs/sci-brain/survey/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/quantumbfs/sci-brain/survey"><img src="https://agentmods.dev/badge/skills/quantumbfs/sci-brain/survey.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 52 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00027 | $0.02630 |
| Opus 5.5 | $0.00011 | $0.01052 |
| Sonnet 5.5 | $0.00005 | $0.00526 |
| Haiku 4.5 | $0.00003 | $0.00263 |
Grade A, and why
survey 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 29d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Installed resources
Keep the working directory at the user's project. Resolve this loaded SKILL.md
with Path(path).resolve() before locating resources; follow symlinks. Bare
helpers/, references/, and template paths are relative to that real skill
directory. A path written as skills/<name>/... means the installed <name>
skill's directory from the agent's skill catalog, not a path in the user's project.
Locate each dependency by its public skill name; copied skills need not be siblings.
If a dependency is absent, report the missing skill and install it before that step.
Shared writing files are bundled in how-to-write-ideas-report/references/.
Choose the mode
- Explore and build the knowledge base: run Topic Survey below.
- Write up an existing survey: when the user asks to "write up the survey", "write a review", assess a technology/field, or otherwise already has a populated project KB, skip Topic Survey and start at Survey Report.
- Explore, fetch, and write: complete Topic Survey, invoke
how-to-download-ref --from-bib, then continue directly to Survey Report in this same skill when the user wants the write-up.
Topic Survey
Before starting this mode, check which MCP servers are available (arxiv, paper-search, Semantic Scholar, Sci-Hub, etc.). Present the detected servers to the user and let them choose which ones to use for this session (multi-select in chat). If none are configured, warn the user that the survey will rely on web search only.
If the user already provided a research topic or question, skip the clarification step.
Step 1 — Clarify. Ask one question to narrow the research topic. Give 2-4 choice options.
Step 2 — Pick strategies & search. Present the strategy menu to the user as a multi-select question. Recommend 3-4 strategies based on the topic context, but let the user choose. Then run one search worker per selected strategy in parallel when available, or sequentially otherwise. Each worker uses broad web search only at this stage — fast and exploratory.
What ships with it
2 files 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.
- 29d ago Changed · +12 lines f04961424a78
- 1mo ago Changed 74f871eea5a3
- 1mo ago Changed · +12 lines d854280d856a
- 1mo ago Changed · -67 lines · -30 tokens per session 5a1d41f2ba2b
- 1mo ago First seen · 189 lines · 57 tokens per session scan A d81ec917f9c9
survey is a skill published in the GitHub repository QuantumBFS/sci-brain (101 stars, last pushed 23d ago), licensed MIT. It adds 27 tokens to every session and 2,630 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 2026-08-30.
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