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 proyecto26/sherlock-ai-plugin --skill deep-researchgit clone --depth 1 https://github.com/proyecto26/sherlock-ai-pluginWrote 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/proyecto26/sherlock-ai-plugin/deep-research)<a href="https://agentmods.dev/skills/proyecto26/sherlock-ai-plugin/deep-research"><img src="https://agentmods.dev/badge/skills/proyecto26/sherlock-ai-plugin/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/proyecto26/sherlock-ai-plugin/deep-research"><img src="https://agentmods.dev/badge/skills/proyecto26/sherlock-ai-plugin/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 | $0.00066 | $0.01575 |
| Opus 5.5 | $0.00026 | $0.00630 |
| Sonnet 5.5 | $0.00013 | $0.00315 |
| Haiku 4.5 | $0.00007 | $0.00158 |
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 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.
This is a copy
94% identical to deep-research — 14 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research
Create high-fidelity research reports with strict format control, evidence mapping, and multi-pass synthesis.
Quick Start
- Clarify the report spec and format contract
- Build a research plan and query set
- Collect evidence with the deepresearch tool (multi-pass if needed)
- Triage sources and build an evidence table
- Draft the full report in multiple complete passes (parallel subagents)
- UNION merge, enforce format compliance, verify citations
- Present draft for human review and iterate
Core Workflow
Copy this checklist and track progress:
Deep Research Progress:
- [ ] Step 1: Intake and format contract
- [ ] Step 2: Research plan and query set
- [ ] Step 3: Evidence collection (deepresearch tool)
- [ ] Step 4: Source triage and evidence table
- [ ] Step 5: Outline and section map
- [ ] Step 6: Multi-pass full drafting (parallel subagents)
- [ ] Step 7: UNION merge and format compliance
- [ ] Step 8: Evidence and citation verification
- [ ] Step 9: Present draft for human review and iterate
Step 1: Intake and Format Contract
Establish the report requirements before any research:
- Confirm audience, purpose, scope, time range, and geography
- Lock output format: Markdown, DOCX, slides, or user-provided template
- Capture required sections and exact formatting rules
- Confirm citation style (footnotes, inline, numbered, APA, etc.)
- Confirm length targets per section
- Ask for any existing style guide or sample report
Create a concise report spec file:
Report Spec:
- Audience:
- Purpose:
- Scope:
- Time Range:
- Geography:
- Required Sections:
- Section Formatting Rules:
- Citation Style:
- Output Format:
- Length Targets:
- Tone:
- Must-Include Sources:
- Must-Exclude Topics:
If a user provides a template or an example report, treat it as a hard constraint and mirror the structure.
Step 2: Research Plan and Query Set
Define the research strategy before calling tools:
- Break the main question into 3-7 subquestions
- Define key entities, keywords, and synonyms
- Identify primary sources vs secondary sources
- Define disqualifiers (outdated, low quality, opinion-only)
- Assemble a query set per section
What ships with it
5 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.
- 2mo ago First seen · 207 lines · 66 tokens per session scan A 28e7c016e1e1
deep-research is a skill published in the GitHub repository proyecto26/sherlock-ai-plugin (39 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 1,575 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to deep-research, differing in 14 lines, and is treated as a copy.
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