Borrowing it
Nothing to install: this file belongs to strikersam/autonomous-ai-agency. 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/strikersam/autonomous-ai-agency/master/.agents/skills/research/SKILL.mdgit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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/strikersam/autonomous-ai-agency/research)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/research"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/research/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/strikersam/autonomous-ai-agency/research"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00729 |
| Opus 5 | $0.00000 | $0.00365 |
| Sonnet 5 | $0.00000 | $0.00146 |
| Haiku 4.5 | $0.00000 | $0.00073 |
Grade A, and why
research 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 12d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Research
Purpose
Conduct structured, systematic research on any topic — synthesizing sources, extracting key findings, identifying gaps, and producing a clear research brief. Designed for both technical and non-technical research tasks.
When to Use
- Investigating a new technology, library, or approach before implementation
- Competitive analysis or market research
- Literature review before writing documentation or proposals
- Due diligence on a tool, service, or vendor
- Pre-planning research before starting a feature
Instructions
Step 1: Define the Research Question
Before searching, clarify:
- Primary question: What is the core thing you need to know?
- Scope: How deep? How broad? Time constraints?
- Output type: Decision brief? Technical summary? Comparison table?
- Audience: Who will read this? What do they already know?
Step 2: Identify Source Categories
Structure the research across these source types:
- Official docs / primary sources — authoritative, current
- Community knowledge — GitHub issues, forums, Stack Overflow
- Comparisons / reviews — third-party analysis
- Case studies / examples — real-world usage
- Critiques / limitations — known problems, caveats
Step 3: Extract & Synthesize
For each source:
- Record the key claim or finding
- Note the source credibility and recency
- Flag contradictions between sources
- Identify consensus vs. contested points
Step 4: Identify Gaps
Document what you couldn't find or what remains uncertain:
- Missing data points
- Questions that need primary research (e.g., direct testing)
- Assumptions that need validation
Step 5: Produce Research Brief
## Research Brief: [Topic]
**Date:** [Date]
**Researcher:** Claude
**Question:** [Primary research question]
---
### Executive Summary
[2–3 sentences: what was found and what it means]
### Key Findings
1. [Finding] — Source: [URL or description] (Confidence: High/Medium/Low)
2. ...
### Comparison / Options (if applicable)
| Option | Pros | Cons | Best For |
|--------|------|------|----------|
| ... | ... | ... | ... |
### Gaps & Uncertainties
- [What remains unknown]
- [What needs direct testing]
### Recommendation
[Clear recommendation based on findings, with rationale]
### Sources
- [Source 1]: [URL or description]
- [Source 2]: ...
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.
- 12d ago First seen · 97 lines · 0 tokens per session scan A fe3d74a25b27
research is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 729 tokens. 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 2026-08-31.
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