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 TianGzlab/OmicsClaw --skill clinicaltrials-landscapegit clone --depth 1 https://github.com/TianGzlab/OmicsClawWrote 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/tiangzlab/omicsclaw/clinicaltrials-landscape)<a href="https://agentmods.dev/skills/tiangzlab/omicsclaw/clinicaltrials-landscape"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/clinicaltrials-landscape/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/tiangzlab/omicsclaw/clinicaltrials-landscape"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/clinicaltrials-landscape.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00006 | $0.02766 |
| Opus 5 | $0.00003 | $0.01383 |
| Sonnet 5 | $0.00001 | $0.00553 |
| Haiku 4.5 | $0.00001 | $0.00277 |
Grade A, and why
ClinicalTrials.gov Disease Landscape Scanner 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 10d 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:
- clinicaltrials-landscape — 95% identical, 625 lines differ
How it starts
The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClinicalTrials.gov Disease Landscape Scanner
When to Use This Skill
- Map competitive landscape across therapeutic mechanisms for any disease
- Track specific mechanism classes (e.g., anti-IL23, anti-TL1A, JAK inhibitors)
- Identify sponsors and their pipeline positions by phase
- Phase distribution analysis for business development diligence
- Pipeline monitoring for a specific sponsor's disease portfolio
- Pre-built disease configs available (IBD with 14 mechanism classes); generic mode for any other disease
Do NOT use for:
- Detailed single-trial protocol analysis
- Efficacy/safety comparisons (requires literature review skill)
Installation
| Software | Version | License | Commercial Use | Installation |
|---|---|---|---|---|
| pandas | ≥1.3 | BSD-3 | ✅ Permitted | pip install pandas |
| requests | ≥2.25 | Apache-2.0 | ✅ Permitted | pip install requests |
| numpy | ≥1.20 | BSD-3 | ✅ Permitted | pip install numpy |
| plotnine | ≥0.10 | MIT | ✅ Permitted | pip install plotnine |
| plotnine-prism | ≥0.3 | MIT | ✅ Permitted | pip install plotnine-prism |
| seaborn | ≥0.11 | BSD-3 | ✅ Permitted | pip install seaborn |
| matplotlib | ≥3.4 | PSF | ✅ Permitted | pip install matplotlib |
| reportlab | ≥3.6 | BSD | ✅ Permitted | pip install reportlab |
| pyyaml | ≥5.0 | MIT | ✅ Permitted | pip install pyyaml |
pip install pandas requests numpy plotnine plotnine-prism seaborn matplotlib reportlab pyyaml
System requirements: Internet connection for ClinicalTrials.gov API calls.
Inputs
Required:
- Disease / condition terms — list of conditions to search ClinicalTrials.gov
Optional:
- Disease config — pre-built config ID (e.g.,
"ibd") for mechanism taxonomy, orNonefor generic - Mechanism filter — e.g., "Anti-IL-23 (p19)", "Anti-TL1A", "JAK Inhibitor"
- Sponsor filter — e.g., "Takeda", "AbbVie"
- Status filter — Default: all active (Recruiting + Active not recruiting + Not yet recruiting)
- Phase filter — Phase 1, 2, 3, 4
What ships with it
12 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.
- references/api-parameters.md 5.7 KB
- references/mechanisms.md 4.9 KB
- references/output-schema.md 7.5 KB
- scripts/__init__.py 44 B runs code
- scripts/classify_mechanisms.py 11 KB runs code
- scripts/compile_trials.py 22 KB runs code
- scripts/disease_config.py 4.7 KB runs code
- scripts/export_all.py 9.5 KB runs code
- scripts/generate_landscape_plots.py 26 KB runs code
- scripts/generate_pdf_report.py 62 KB runs code
- scripts/generate_report.py 81 KB runs code
- scripts/query_clinicaltrials.py 10 KB runs code
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.
- 10d ago First seen · 263 lines · 6 tokens per session scan A 4335da3044d9
ClinicalTrials.gov Disease Landscape Scanner is a skill published in the GitHub repository TianGzlab/OmicsClaw (160 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 6 tokens to every session and 2,766 once invoked, about $0.0000 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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