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 agentmods add skills/librefang/librefang-registry/researchernpx skills add librefang/librefang-registry --skill researchergit clone --depth 1 https://github.com/librefang/librefang-registryWrote 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/librefang/librefang-registry/researcher)<a href="https://agentmods.dev/skills/librefang/librefang-registry/researcher"><img src="https://agentmods.dev/badge/skills/librefang/librefang-registry/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 | $0.00030 | $0.07569 |
| Opus 5 | $0.00015 | $0.03785 |
| Sonnet 5 | $0.00006 | $0.01514 |
| Haiku 4.5 | $0.00003 | $0.00757 |
Grade A, and why
researcher-hand-skill 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 6d 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.
This is a copy
100% identical to researcher-hand-skill — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 745 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research Expert Knowledge
Research Methodology
Research Process (5 phases)
- Define: Clarify the question, identify what's known vs unknown, set scope
- Search: Systematic multi-strategy search across diverse sources
- Evaluate: Assess source quality, extract relevant data, note limitations
- Synthesize: Combine findings into coherent answer, resolve contradictions
- Verify: Cross-check critical claims, identify remaining uncertainties
Question Types & Strategies
| Question Type | Strategy | Example |
|---|---|---|
| Factual | Find authoritative primary source | "What is the population of Tokyo?" |
| Comparative | Multi-source balanced analysis | "React vs Vue for large apps?" |
| Causal | Evidence chain + counterfactuals | "Why did Theranos fail?" |
| Predictive | Trend analysis + expert consensus | "Will quantum computing replace classical?" |
| How-to | Step-by-step from practitioners | "How to set up a Kubernetes cluster?" |
| Survey | Comprehensive landscape mapping | "What are the options for vector databases?" |
| Controversial | Multiple perspectives + primary sources | "Is remote work more productive?" |
Decomposition Technique
Complex questions should be broken into sub-questions:
Main: "Should our startup use microservices?"
Sub-questions:
1. What are microservices? (definitional)
2. What are the benefits vs monolith? (comparative)
3. What team size/stage is appropriate? (contextual)
4. What are the operational costs? (factual)
5. What do similar startups use? (case studies)
6. What are the migration paths? (how-to)
CRAAP+ Source Evaluation Framework
Standard CRAAP Criteria
Currency
- When was it published or last updated?
- Is the information still current for the topic?
- For technology topics: anything >2 years old may be outdated
- For science: check if the paper has been superseded by newer work
Relevance
- Does it directly address your question?
- Who is the intended audience?
- Is the level of detail appropriate?
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.
- 6d ago First seen · 745 lines · 30 tokens per session scan A 89a521f151da
researcher-hand-skill is a skill published in the GitHub repository librefang/librefang-registry (11 stars, last pushed 12d ago), licensed MIT. It adds 30 tokens to every session and 7,569 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to researcher-hand-skill, differing in 0 lines, and is treated as a copy.
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