Agent skill · Audited from source
deep-research
skill · 199-biotechnologies/claude-deep-research-skillLicence not declaredAudited 20 Oct 2026 · source d875b0736241
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit d875b0736241 and observed network access and no hard-coded secrets. What it does: Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y",…
Cite
Cite this page
ModelsAtlas. “deep-research (199-biotechnologies/claude-deep-research-skill)”. Retrieved 20 Oct 2026. https://modelsatlas.com/skills/199-biotechnologies/deep-research
Trust audit
Audit 0.4.1 · source read 20 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkDeclared2 observations
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 1 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | PASS | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass, no license.
Findings (1)
LOWInventory / provenanceinv.no_license
- Why
- no LICENSE file and no repo licence
- Fix
- add a licence
Audit 0.4.1 · source sha d875b0736241 · 20 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publisher199-biotechnologies GitHub organizationOwner of the repository this skill is read from
- Source folder199-biotechnologies/claude-deep-research-skillThe exact folder we audited
- LicenceNot declaredAs the repository states it
- Commit pinned for this verdictd875b0736241A new audit runs when the source changes
- Repository statusNot archivedLast push 191 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y",…
--- name: deep-research description: Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y", "analyze trends", or "state of the art". Not for simple lookups, debugging, or questions answerable with 1-2 searches. --- # Deep Research ## Core Purpose Deliver citation-tracked research reports through a structured pipeline with evidence persistence, source identity management, claim-level verification, and progressive context management. **Autonomy Principle:** Operate independently. Infer assumptions from context. Only stop for critical errors or incomprehensible queries. Surface high-materiality assumptions explicitly in the Introduction and Methodology rather than silently defaulting. --- ## Decision Tree ``` Request Analysis +-- Simple lookup? --> STOP: Use WebSearch +-- Debugging? --> STOP: Use standard tools +-- Complex analysis needed? --> CONTINUE Mode Selection +-- Initial exploration --> quick (3 phases, 2-5 min) +-- Standard research --> standard (6 phases, 5-10 min) [DEFAULT] +-- Critical decision --> deep (8 phases, 10-20 min) +-- Comprehensive review --> ultradeep (8+ phases, 20-45 min) ``` **Default assumptions:** Technical query = technical audience. Comparison = balanced perspective. Trend = recent 1-2 years. --- ## Workflow Overview | Phase | Name | Quick | Std | Deep | Ultra | |-------|------|-------|-----|------|-------| | 1 | SCOPE | Y | Y | Y | Y | | 2 | PLAN | - | Y | Y | Y | | 3 | RETRIEVE | Y | Y | Y | Y | | 4 | TRIANGULATE | - | Y | Y | Y | | 4.5 | OUTLINE REFINEMENT | - | Y | Y | Y | | 5 | SYNTHESIZE | - | Y | Y | Y | | 6 | CRITIQUE | - | - | Y | Y | | 7 | REFINE | - | - | Y | Y | | 8 | PACKAGE | Y | Y | Y | Y | **Note:** Phases 3-5 operate as an evidence loop per section (retrieve → evidence store → refine outline → draft → verify claims → delta-retrieve if needed), not as strict sequential gates. --- ## Execution **On invocation, load relevant reference files:** 1. **Phase 1-7:** Load [methodology.md](./reference/methodology.md) for detailed phase instructions 2. **Phase 8 (Report):** Load [report-assembly.md](./reference/report-assembly.md) for progressive generation 3. **HTML/PDF output:** Load [html-generation.md](./reference/html-generation.md) 4. **Quality checks:** Load [quality-gates.md](./reference/quality-gates.md) 5. **Long reports (>18K words):** Load [continuation.md](./reference/continuation.md) **Templates:** - Report structure: [report_template.md](./templates/report_template.md) - HTML styling: [mckinsey_report_template.html](./templates/mckinsey_report_template.html) **Scripts:** - `python scripts/validate_report.py --report [path]` - `python scripts/verify_citations.py --report [path]` - `python scripts/md_to_html.py [markdown_path]` --- ## Output Contract **Required sections:** - Executive Summary (200-400 words) - Introduction (scope, methodology, assumptions) - Main Analysis (4-8 findings, 600-2,000 words each, cited) - Synthesis & Insights (patterns, implications) - Limitations & Caveats - Recommendations - Bibliography (COMPLETE - every citation, no placeholders) - Methodology Appendix **Output files (all to `~/Documents/[Topic]_Research_[YYYYMMDD]/`):** - Markdown (primary source of truth) - `sources.jsonl` — stable source registry with canonical IDs - `evidence.jsonl` — append-only evidence store with quotes and locators - `claims.jsonl` — atomic claim ledger with support status - `run_manifest.json` — query, mode, assumptions, provider config - HTML (McKinsey style, auto-opened) - PDF (professional print, auto-opened) **Quality standards:** - 10+ sources, 3+ per major claim (cluster-independent, not just count) - All factual claims cited immediately [N] with evidence backing in `evidence.jsonl` - Claim-support verification mandatory: no unsupported factual claims pass delivery - No placeholders, no fabricated citations - Prose-first (>=80%), bullets sparingly --- ## When to Use / NOT Use **Use:** Comprehensive analysis, technology comparisons, state-of-the-art reviews, multi-perspective investigation, market analysis. **Do NOT use:** Simple lookups, debugging, 1-2 search answers, quick time-sensitive queries.
Excerpt, first 4,324 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit d875b07
git clone https://github.com/199-biotechnologies/claude-deep-research-skill.git ~/.claude/skills/deep-research
git clone https://github.com/199-biotechnologies/claude-deep-research-skill git -C claude-deep-research-skill checkout d875b0736241
Commands as the repository documents them: shown, never run by us. Our verdict covers commit d875b0736241 only.
Works in which agents?
What its own text says, not a test
| Agent | Status | More |
|---|---|---|
| Claude Code | Mentioned in its text, not tested | Skills for Claude Code · About Claude Code |
| Cursor | Mentioned in its text, not tested | Skills for Cursor · About Cursor |
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
d875b0736241
README badge
For maintainers · shows the latest audit
[](https://modelsatlas.com/skills/199-biotechnologies/deep-research/)
The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.
Similar skills
All research skills →obra/superpowers
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions…
obra/superpowers
Use when you have a spec or requirements for a multi-step task, before touching code
obra/superpowers
Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions
Add this badge to your README
[](https://modelsatlas.com/skills/199-biotechnologies/deep-research/)
<a href="https://modelsatlas.com/skills/199-biotechnologies/deep-research/"><img src="https://modelsatlas.com/skills/199-biotechnologies/deep-research/badge.svg" alt="ModelsAtlas: SAFE B"></a>
Questions about deep-research
What does the deep-research skill do?
Is deep-research safe to install?
What can deep-research access on my machine?
Which assistants does deep-research work with?
How current is this page?
Sources
- github.com/199-biotechnologies/claude-deep-research-skill — the audited source at commit d875b0736241 and every finding aboveObserved · 20 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the deep-research skill do?
- Is deep-research safe to install?
- What can deep-research access on my machine?