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 ericgandrade/claude-superskills --skill deep-researchgit clone --depth 1 https://github.com/ericgandrade/claude-superskillsWrote 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/ericgandrade/claude-superskills/deep-research)<a href="https://agentmods.dev/skills/ericgandrade/claude-superskills/deep-research"><img src="https://agentmods.dev/badge/skills/ericgandrade/claude-superskills/deep-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/ericgandrade/claude-superskills/deep-research"><img src="https://agentmods.dev/badge/skills/ericgandrade/claude-superskills/deep-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 | $0.00044 | $0.05774 |
| Opus 5 | $0.00022 | $0.02887 |
| Sonnet 5 | $0.00009 | $0.01155 |
| Haiku 4.5 | $0.00004 | $0.00577 |
Grade A, and why
deep-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 11d 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 — 578 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research
Purpose
Run structured, multi-step web research with evidence-first synthesis, source traceability, skeptical evaluation, and explicit confidence/gap analysis.
This skill works in native mode with built-in web research tools and does not require Google/Gemini, OpenAI, Anthropic, OpenRouter, or any other paid provider setup. When the user explicitly wants maximum depth, use dense/frontier mode to recommend the strongest available model and run a wider parallel research topology where the host platform supports subagents.
When to Use This Skill
Use this skill when:
- Performing market analysis
- Conducting competitive landscaping
- Building literature or source reviews
- Doing technical due diligence
- Preparing decision memos with citations
- Producing dense, high-confidence, Perplexity-like research with adversarial critique
Requirements
- Access to built-in web research tools (
WebSearch,WebFetch) - Clear research question and scope
No external API key is required for native mode.
Progress Tracking
Display a progress gauge at each research phase:
[████░░░░░░░░░░░░░░░░] 20% — Phase 1/5: Objective, Scope & Decomposition
[████████░░░░░░░░░░░░] 40% — Phase 2/5: Parallel Source Collection
[████████████░░░░░░░░] 60% — Phase 3/5: Evidence Ledger & Triangulation
[████████████████░░░░] 80% — Phase 4/5: Synthesis & Confidence/Gaps
[████████████████████] 100% — Phase 5/5: Citation Audit & Final Review
Operating Modes
Native Research
Use native mode by default.
- Use built-in
WebSearchandWebFetch. - Decompose complex topics into 3-5 sub-questions.
- Run parallel
ResearchScoutagents where subagents are available. - Produce an evidence ledger, citations, and
Confidence & Gaps.
Dense / Frontier Research
Use dense/frontier mode when the user asks for maximum depth, exhaustive research, "frontier model", "Perplexity-like" research, "turbinado", adversarial review, high-confidence evidence, or says cost is secondary to research quality.
What ships with it
6 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.
- 11d ago First seen · 578 lines · 44 tokens per session scan A cb4c7dfb1780
deep-research is a skill published in the GitHub repository ericgandrade/claude-superskills (75 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 5,774 once invoked, about $0.0002 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 2026-08-30.
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