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 aizech/clinical-skills --skill cross-reference-linkinggit clone --depth 1 https://github.com/aizech/clinical-skillsWrote 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/aizech/clinical-skills/cross-reference-linking)<a href="https://agentmods.dev/skills/aizech/clinical-skills/cross-reference-linking"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/cross-reference-linking/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/aizech/clinical-skills/cross-reference-linking"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/cross-reference-linking.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 | $0.00051 | $0.00549 |
| Opus 5.5 | $0.00020 | $0.00220 |
| Sonnet 5.5 | $0.00010 | $0.00110 |
| Haiku 4.5 | $0.00005 | $0.00055 |
Grade A, and why
cross-reference-linking 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 1mo 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-Reference Linking Skill
Triggers
- "compare to priors"
- "find prior studies"
- "correlate with"
- "longitudinal comparison"
- "followup from"
- "related findings"
- "pathology correlation"
Parameters
reference_type(required): Type of cross-reference neededprior_studies- Historical imaging comparisonliterature- Relevant published cases or studiesfollowup- Sequential study comparisonmultimodality- Different modality correlationpathology- Radiology-pathology correlationclinical- EHR/clinical data correlation
finding_summary(required): Current finding to cross-referencepatient_id(optional): Patient identifier for prior searchdate_range(optional): Time window for prior search
Cross-Reference Types
Prior Study Comparison
- Modality, date, and key findings of historical studies
- Size/dimension comparisons for measurable findings
- Density/signal intensity comparisons
- Change assessment (stable, improved, progressed)
Literature Correlation
- Similar published cases
- Expected imaging appearances
- Atypical presentations
- Prognostic implications
Pathology Correlation
- Common pathologies for imaging appearance
- Staging implications (TNM, etc.)
- Molecular markers and imaging correlates
- Treatment response patterns
Clinical Correlation
- Lab values relevant to imaging findings
- Symptoms and clinical history
- Treatment history and timeline
Output Format
Returns structured JSON with:
- Prior finding references with dates
- Comparison metrics (size, characteristics)
- Change assessment with confidence
- Recommendations for followup
- Related literature citations
Usage Examples
reference_type: prior_studies
finding_summary: 2.5 cm lung nodule right upper lobe
patient_id: MRN12345
reference_type: pathology
finding_summary: irregular spiculated mass left lower lobe
reference_type: followup
finding_summary: 1.2 cm thyroid nodule compared to 6 months prior
What ships with it
1 file 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.
- 1mo ago First seen · 86 lines · 51 tokens per session scan A 7897de7ee58a
cross-reference-linking is a skill published in the GitHub repository aizech/clinical-skills (6 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 549 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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