Borrowing it
Nothing to install: this file belongs to akapet00/dotclaude. 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/akapet00/dotclaude/main/.claude/skills/research/SKILL.mdgit clone --depth 1 https://github.com/akapet00/dotclaudeWrote 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/akapet00/dotclaude/research)<a href="https://agentmods.dev/skills/akapet00/dotclaude/research"><img src="https://agentmods.dev/badge/skills/akapet00/dotclaude/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/akapet00/dotclaude/research"><img src="https://agentmods.dev/badge/skills/akapet00/dotclaude/research.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 | $0.00059 | $0.00344 |
| Opus 5.5 | $0.00024 | $0.00138 |
| Sonnet 5.5 | $0.00012 | $0.00069 |
| Haiku 4.5 | $0.00006 | $0.00034 |
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 2mo 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
Interview me relentlessly about every aspect of the research question until we reach a shared understanding. Let's work back and forth between the codebase, documentation, and literature to explore the topic from all angles.
For literature review, use the Semantic Scholar API (use skill or mcp if available; confirm with me before proceeding) to find relevant papers, analyze their contributions, and synthesize insights. For codebase exploration, identify relevant files, functions, and documentation that can shed light on the question. For interviewing me, ask targeted questions to clarify assumptions, gather context, and validate findings.
Ask questions one at a time, and wait for my answer before asking the next. For each question, list recommended answers I can pick from, plus an option to write my own. Mark the one you think is best and say why. Reference any relevant files, lines of code, documentation, or papers in your questions to ground the discussion in evidence.
After gathering insights from all sources, synthesize the findings into a comprehensive report RESEARCH.md that addresses the research question, highlights key insights, and suggests next steps for further investigation or action. Confirm the structure, content, and path of the report with me before writing it. Make sure to check the existing RESEARCH.md if it exists to avoid duplicating content and to build upon previous findings.
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.
- 2mo ago First seen · 14 lines · 59 tokens per session scan A fb6381527c5c
research is a skill published in the GitHub repository akapet00/dotclaude (2 stars, last pushed 4mo ago), licensed MIT. It adds 59 tokens to every session and 344 once invoked, about $0.0002 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 2026-08-31.
research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| researchakapet00/dotclaude | Skill | 2 | 4mo ago | MIT | A | 59 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |