tooluniverse-clinical-trial-design
Strategic clinical trial design feasibility assessment using ToolUniverse. Evaluates patient population sizing, biomarker prevalence, endpoint selection, comparator analysis, safety monitoring, and regulatory pathways. Creates comprehensive feasibility reports with evidence grading, enrollment projections, and trial design recommendations. Use when planning Phase 1/2 trials, assessing trial feasibility, or designing biomarker-driven studies.
72
88%
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High
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
W008: Secret detected in skill content (API keys, tokens, passwords).
What this means
Detected sensitive credentials directly embedded within the skill content, such as API keys, access tokens, private keys, or service-specific secrets. Secrets should never be hardcoded in plain text within skill instructions.
Why it was flagged
I scanned the SKILL.md content for literal, high-entropy values that could grant access to services. The Slack invite URL contains a long, random-looking token segment ("zt-3dic3eoio-5xxoJch7TLNibNQn5_AREQ") which is a shared-invite link and can provide access to the Slack workspace — this meets the definition of a secret (a literal value that provides access). No API keys, private keys, or other high-entropy credentials (e.g., sk-... tokens, PEM blocks) are present. Other URLs (ToolUniverse docs, FDA, ClinicalTrials.gov) and strings (drug names, numeric constants, NCT IDs) are not secrets and were not flagged. There were no automatically detected potential matches to ignore.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
At runtime the skill’s example workflow directly ingests outsider-authored free text by calling `tu.tools.search_clinical_trials(...)` (from Path 4) and `tu.tools.PubMed_search_articles(...)` to select and analyze endpoint/precedent content, which can include free-text fields authored by third parties (e.g., ClinicalTrials.gov records/literature abstracts) without any constraint to trusted vendor-provided text.
- Repository
- wu-yc/LabClaw
- Commit
df37802
- Audited
- Security analysis
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