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 agentlas-ai/agentlas-desktop --skill clinical-decision-supportgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/clinical-decision-support)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/clinical-decision-support"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/clinical-decision-support/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/agentlas-ai/agentlas-desktop/clinical-decision-support"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/clinical-decision-support.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 | $0.00050 | $0.02740 |
| Opus 5.5 | $0.00020 | $0.01096 |
| Sonnet 5.5 | $0.00010 | $0.00548 |
| Haiku 4.5 | $0.00005 | $0.00274 |
Grade A, and why
clinical-decision-support 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.
This is a copy
92% identical to clinical-decision-support — 23 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 — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Decision-Support Research and Evaluation
Hard Safety Boundary
This skill produces research, evaluation, documentation, and governance artifacts only.
Never use it to:
- diagnose or classify a person;
- recommend, select, sequence, start, stop, or modify treatment;
- calculate or communicate a patient-specific dose;
- triage, prioritize, alarm, alert, or determine urgency;
- make or automate a patient-specific clinical decision;
- support bedside, point-of-care, or live clinical operation;
- replace professional judgment or a validated, authorized clinical system;
- claim FDA authorization, regulatory conformity, HIPAA compliance, or legal compliance.
If a request could affect care for a person, stop the workflow and route the matter to a licensed healthcare professional using locally validated and appropriately authorized systems. Do not redirect to another skill for patient-specific care.
In Scope
- Intended-use and limitation statements for research artifacts
- Aggregate cohort table shells with disclosure controls
- Statistical analysis plans and survival-analysis plan review
- Aggregate model or biomarker performance evaluation
- Transparent GRADE evidence-profile checklists
- Evidence-source and decision-logic traceability
- De-identification process checklists
- Fairness, subgroup, calibration, uncertainty, external-validation, monitoring, change-control, audit, and human-factors documentation
Outputs remain drafts until qualified humans approve them. Reporting guidance improves transparency; it does not establish study quality, clinical utility, safety, effectiveness, authorization, or compliance.
Data Gate
Before any script:
- Confirm input is synthetic or aggregate.
- Reject patient rows, records, narratives, identifiers, free text, dates tied to people, images, waveforms, or genomic sequences.
- Keep source files local. Do not fetch URLs, call APIs, read environment variables, or send data to a model.
- Set disclosure thresholds before producing tables.
- Record provenance, data cut date, population, exclusions, missingness, and transformations.
What ships with it
27 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.
- assets/aggregate_cohort_table_template.json 3.1 KB
- assets/aggregate_model_evaluation_template.json 3.6 KB
- assets/artifact_intended_use_template.json 3.2 KB
- assets/decision_logic_traceability_template.json 4.3 KB
- assets/deidentification_checklist_template.json 6.0 KB
- assets/evidence_profile_template.json 4.4 KB
- assets/survival_analysis_plan_template.json 7.1 KB
- references/cohort_evaluation.md 5.2 KB
- references/decision_logic_traceability.md 3.2 KB
- references/evidence_profiles.md 4.9 KB
- references/model_biomarker_evaluation.md 5.7 KB
- references/privacy_and_disclosure.md 4.7 KB
- references/README.md 3.2 KB
- references/regulatory_and_governance.md 7.0 KB
- references/safety_and_scope.md 4.5 KB
- references/security_validation.md 3.0 KB
- references/sources.md 10 KB
- references/study_reporting.md 6.3 KB
- references/survival_analysis.md 5.6 KB
- scripts/_common.py 7.4 KB runs code
- scripts/cohort_table_generator.py 11 KB runs code
- scripts/decision_logic_traceability.py 11 KB runs code
- scripts/deidentification_checklist.py 9.8 KB runs code
- scripts/evidence_profile_check.py 10 KB runs code
- scripts/model_biomarker_evaluation.py 13 KB runs code
- scripts/survival_plan_validator.py 11 KB runs code
- scripts/validate_cds_artifact.py 9.8 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.
- 1mo ago First seen · 256 lines · 50 tokens per session scan A 721d67393c73
clinical-decision-support is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 2,740 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to clinical-decision-support, differing in 23 lines, and is treated as a copy.
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