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 iblai/medical-healthcare-agents --skill innovaccergit clone --depth 1 https://github.com/iblai/medical-healthcare-agentsWrote 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/iblai/medical-healthcare-agents/innovaccer)<a href="https://agentmods.dev/skills/iblai/medical-healthcare-agents/innovaccer"><img src="https://agentmods.dev/badge/skills/iblai/medical-healthcare-agents/innovaccer/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/iblai/medical-healthcare-agents/innovaccer"><img src="https://agentmods.dev/badge/skills/iblai/medical-healthcare-agents/innovaccer.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 | $0.00040 | $0.00777 |
| Opus 5 | $0.00020 | $0.00388 |
| Sonnet 5 | $0.00008 | $0.00155 |
| Haiku 4.5 | $0.00004 | $0.00078 |
Grade A, and why
innovaccer 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 12d 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Innovaccer
What it is
Innovaccer is a leading population health management and healthcare analytics platform that aggregates data across EHRs, claims, labs, and SDOH sources into a unified patient record. It provides risk stratification (low/medium/high/rising risk), care gap identification (HEDIS measures, STAR ratings), care plan management, and SDOH screening integration. Agents use the Innovaccer REST API to power care coordination workflows, quality improvement analytics, and proactive outreach prioritization.
When to use this skill
- Retrieve a patient's current risk score and risk tier to guide care coordination intensity
- Pull a list of open care gaps for a patient or panel (e.g., A1c overdue, mammogram due, colorectal screening)
- Identify rising-risk patients in a provider panel who need proactive outreach
- Access SDOH screening results (food insecurity, housing instability, transportation barriers) linked to a patient
- Retrieve care gap closure rates by measure and provider for quality improvement reporting
Credentials
This skill authenticates using variables declared in the metadata above. Copy ~/.openclaw/.env.example to ~/.openclaw/.env and fill in real values. Required variables:
INNOVACCER_API_KEY- API key issued by Innovaccer for the facility integrationINNOVACCER_BASE_URL- tenant-specific API base URL (e.g.,https://api.innovaccer.com/v1)INNOVACCER_TENANT_ID- health system tenant identifier in the Innovaccer platformINNOVACCER_CLIENT_SECRET- client secret for OAuth 2.0 token exchange (if using OAuth flow)
Key operations
GET /patients/{patientId}/risk-score— current risk score (0-100), risk tier, top risk drivers (diagnosis codes, utilization events, SDOH flags)GET /patients/{patientId}/care-gaps— open care gaps with gap name, measure, last service date, target service date, and closure priorityGET /panels/{providerId}/rising-risk— list of rising-risk patients in a provider panel sorted by risk score changeGET /patients/{patientId}/sdoh— SDOH screening results by domain (food, housing, transportation, financial, behavioral health)GET /analytics/care-gaps?measure={hedisId}&period={year}— aggregate care gap performance by measure across the populationGET /patients/{patientId}/care-plan— active care plan goals, activities, and care manager assignment
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.
- 12d ago First seen · 40 lines · 40 tokens per session scan A e0a27808dc06
innovaccer is a skill published in the GitHub repository iblai/medical-healthcare-agents (10 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 777 once invoked, about $0.0002 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 2026-08-31.
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