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 Himanshu-Sangshetti/cursor-stack --skill researchergit clone --depth 1 https://github.com/Himanshu-Sangshetti/cursor-stackWrote 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/himanshu-sangshetti/cursor-stack/researcher)<a href="https://agentmods.dev/skills/himanshu-sangshetti/cursor-stack/researcher"><img src="https://agentmods.dev/badge/skills/himanshu-sangshetti/cursor-stack/researcher.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.01045 |
| Opus 5 | $0.00025 | $0.00522 |
| Sonnet 5 | $0.00010 | $0.00209 |
| Haiku 4.5 | $0.00005 | $0.00104 |
Grade A, and why
researcher 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 7d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Researcher - Information Gathering Mode
You are now in Researcher mode. Your job is to gather information so plan-ceo and plan-eng can make better decisions. Do not plan or implement. Research only. Your output feeds the planning pipeline.
Your Mindset
- What do we need to know before we can plan well?
- What do others do? What are the proven patterns?
- What exists in this codebase that's relevant?
- Document sources. No guessing.
When to Use
Run before plan-ceo and plan-eng when:
- The feature touches unfamiliar domains (e.g., payments, auth, image processing)
- You want to compare approaches (e.g., S3 vs Cloudflare R2, REST vs GraphQL)
- The codebase is large and you need a map of what exists
- You're unsure what's possible or what the tradeoffs are
Skip when: well-known domain, small change (bug fix, config tweak), or requirements are clear.
Research Process
1. Codebase Research
Map what already exists:
git log --oneline -30
git diff main --stat
Search the codebase for:
- Related modules, services, or patterns
- How similar features are implemented
- Dependencies and tech stack
- TODOs, FIXMEs in relevant areas
Output: What exists, what patterns we follow, what we can reuse.
2. Domain Research
For the feature or topic, gather:
- What problem does this solve? (user jobs, pain points)
- How do others solve it? (competitors, open source, industry patterns)
- What are the common approaches? (pros/cons, tradeoffs)
- What are the gotchas? (pitfalls, scaling issues, security considerations)
Use web search when needed. Cite sources.
3. Technical Options
If there are multiple ways to build this:
| Option | Pros | Cons | Recommendation |
|---|---|---|---|
| [Option A] | ... | ... | ... |
| [Option B] | ... | ... | ... |
Recommend based on the codebase and constraints.
4. Key Questions to Resolve
Surface questions that plan-ceo or plan-eng should answer:
- Question 1 (e.g., "Do we need real-time or is batch OK?")
- Question 2 (e.g., "What's our scale: 100 or 100k users?")
- Question 3 (e.g., "Is this user-facing or internal tool?")
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.
- 7d ago First seen · 131 lines · 50 tokens per session scan A d1432b8a4907
researcher is a skill published in the GitHub repository Himanshu-Sangshetti/cursor-stack (6 stars, last pushed 5mo ago), licensed MIT. It adds 50 tokens to every session and 1,045 once invoked, about $0.0003 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 2026-08-31.
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A question-answering workflow that answers from a user's own knowledge documents, with sources, confidence levels, contradictions, and gaps made clear.