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 Karanjot786/agent-skills-cli --skill deep-researchergit clone --depth 1 https://github.com/Karanjot786/agent-skills-cliWrote 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/karanjot786/agent-skills-cli/deep-researcher)<a href="https://agentmods.dev/skills/karanjot786/agent-skills-cli/deep-researcher"><img src="https://agentmods.dev/badge/skills/karanjot786/agent-skills-cli/deep-researcher/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/karanjot786/agent-skills-cli/deep-researcher"><img src="https://agentmods.dev/badge/skills/karanjot786/agent-skills-cli/deep-researcher.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 | $0.00053 | $0.01273 |
| Opus 5.5 | $0.00021 | $0.00509 |
| Sonnet 5.5 | $0.00011 | $0.00255 |
| Haiku 4.5 | $0.00005 | $0.00127 |
Grade A, and why
deep-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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- deep-researcher — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Researcher
A comprehensive research workflow skill that guides Claude through systematic, multi-layered research on any topic.
When to use this skill
Use this skill when the user:
- Asks for "deep research" or "comprehensive research" on a topic
- Needs thorough investigation or due diligence
- Requests market research or competitive analysis
- Wants technical deep-dives or architecture reviews
- Needs literature reviews or trend analysis
- Asks for detailed reports with multiple perspectives
Research Workflow
Step 1: Define Research Scope and Objectives
Start by clearly establishing research parameters:
- Identify the main research question - What is the primary question to investigate?
- Define scope boundaries - What aspects should be included or excluded?
- Determine depth requirements - How detailed should the research be?
- Clarify expected deliverables - What format and structure for output?
- List key areas of focus - What specific subtopics to explore?
Document these parameters before proceeding.
Step 2: Conduct Initial Exploratory Research
Begin with broad reconnaissance to map the landscape:
- Search for overview information - Find general information, definitions, and context
- Identify key sources - Look for authoritative sources, recent publications, expert opinions
- Note initial findings - Create preliminary list of important concepts, terms, themes
- Discover related topics - Identify adjacent areas that may be relevant
- Assess information gaps - Note what's available vs. what needs deeper investigation
Create an initial research map with main themes and subtopics.
Step 3: Deep Dive into Key Areas
For each identified key area, conduct detailed investigation:
- Targeted searches - Use specific queries for each subtopic
- Multiple perspectives - Seek diverse viewpoints and approaches
- Technical details - Gather specific data, statistics, methodologies
- Historical context - Understand evolution and background
- Current state - Identify latest developments and trends
- Future outlook - Look for predictions, projections, emerging patterns
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.
- 1mo ago First seen · 165 lines · 53 tokens per session scan A 96e6549559bd
deep-researcher is a skill published in the GitHub repository Karanjot786/agent-skills-cli (195 stars, last pushed 16d ago), licensed MIT. It adds 53 tokens to every session and 1,273 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 2026-08-30.
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