Borrowing it
Nothing to install: this file belongs to afx-team/hebb-mind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/afx-team/hebb-mind/main/.agents/skills/research-survey/SKILL.mdgit clone --depth 1 https://github.com/afx-team/hebb-mindWrote 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/afx-team/hebb-mind/research-survey)<a href="https://agentmods.dev/skills/afx-team/hebb-mind/research-survey"><img src="https://agentmods.dev/badge/skills/afx-team/hebb-mind/research-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/afx-team/hebb-mind/research-survey"><img src="https://agentmods.dev/badge/skills/afx-team/hebb-mind/research-survey.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 | $0.00020 | $0.00293 |
| Opus 5 | $0.00010 | $0.00147 |
| Sonnet 5 | $0.00004 | $0.00059 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
research-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 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.
What it actually says
Research Survey
Conduct a comprehensive research survey combining academic and open-source sources.
Instructions
- Academic Search: Use WebSearch to find 5-10 recent papers on
${topic}from arxiv, ACL, NeurIPS, ICML, etc. - Open Source Search: Use WebSearch to find top GitHub repos related to
${topic}(sort by stars, recency) - Industry Search: Look for blog posts, technical reports from major AI labs (OpenAI, Anthropic, Google, Meta)
- Synthesize findings into a structured report:
- Executive Summary
- Academic Landscape (key papers, trends)
- Open Source Landscape (key projects, comparisons)
- Industry Trends
- Gap Analysis
- Recommendations
- Write the report to
${output}orrepo_pages/surveys/${topic}-survey.mdif no output specified - Use markdown tables for comparisons, include all source links
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 · 32 lines · 20 tokens per session scan A f7537394d7a3
research-survey is a skill published in the GitHub repository afx-team/hebb-mind (51 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 293 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 2026-08-30.
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